types of research in project management

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Types of Research – Explained with Examples

• By DiscoverPhDs
• October 2, 2020

Types of Research

Research is about using established methods to investigate a problem or question in detail with the aim of generating new knowledge about it.

It is a vital tool for scientific advancement because it allows researchers to prove or refute hypotheses based on clearly defined parameters, environments and assumptions. Due to this, it enables us to confidently contribute to knowledge as it allows research to be verified and replicated.

Knowing the types of research and what each of them focuses on will allow you to better plan your project, utilises the most appropriate methodologies and techniques and better communicate your findings to other researchers and supervisors.

Classification of Types of Research

There are various types of research that are classified according to their objective, depth of study, analysed data, time required to study the phenomenon and other factors. It’s important to note that a research project will not be limited to one type of research, but will likely use several.

According to its Purpose

Theoretical research.

Theoretical research, also referred to as pure or basic research, focuses on generating knowledge , regardless of its practical application. Here, data collection is used to generate new general concepts for a better understanding of a particular field or to answer a theoretical research question.

Results of this kind are usually oriented towards the formulation of theories and are usually based on documentary analysis, the development of mathematical formulas and the reflection of high-level researchers.

Applied Research

Here, the goal is to find strategies that can be used to address a specific research problem. Applied research draws on theory to generate practical scientific knowledge, and its use is very common in STEM fields such as engineering, computer science and medicine.

This type of research is subdivided into two types:

• Technological applied research : looks towards improving efficiency in a particular productive sector through the improvement of processes or machinery related to said productive processes.
• Scientific applied research : has predictive purposes. Through this type of research design, we can measure certain variables to predict behaviours useful to the goods and services sector, such as consumption patterns and viability of commercial projects.

According to your Depth of Scope

Exploratory research.

Exploratory research is used for the preliminary investigation of a subject that is not yet well understood or sufficiently researched. It serves to establish a frame of reference and a hypothesis from which an in-depth study can be developed that will enable conclusive results to be generated.

Because exploratory research is based on the study of little-studied phenomena, it relies less on theory and more on the collection of data to identify patterns that explain these phenomena.

Descriptive Research

The primary objective of descriptive research is to define the characteristics of a particular phenomenon without necessarily investigating the causes that produce it.

In this type of research, the researcher must take particular care not to intervene in the observed object or phenomenon, as its behaviour may change if an external factor is involved.

Explanatory Research

Explanatory research is the most common type of research method and is responsible for establishing cause-and-effect relationships that allow generalisations to be extended to similar realities. It is closely related to descriptive research, although it provides additional information about the observed object and its interactions with the environment.

Correlational Research

The purpose of this type of scientific research is to identify the relationship between two or more variables. A correlational study aims to determine whether a variable changes, how much the other elements of the observed system change.

According to the Type of Data Used

Qualitative research.

Qualitative methods are often used in the social sciences to collect, compare and interpret information, has a linguistic-semiotic basis and is used in techniques such as discourse analysis, interviews, surveys, records and participant observations.

In order to use statistical methods to validate their results, the observations collected must be evaluated numerically. Qualitative research, however, tends to be subjective, since not all data can be fully controlled. Therefore, this type of research design is better suited to extracting meaning from an event or phenomenon (the ‘why’) than its cause (the ‘how’).

Quantitative Research

Quantitative research study delves into a phenomena through quantitative data collection and using mathematical, statistical and computer-aided tools to measure them . This allows generalised conclusions to be projected over time.

According to the Degree of Manipulation of Variables

Experimental research.

It is about designing or replicating a phenomenon whose variables are manipulated under strictly controlled conditions in order to identify or discover its effect on another independent variable or object. The phenomenon to be studied is measured through study and control groups, and according to the guidelines of the scientific method.

Non-Experimental Research

Also known as an observational study, it focuses on the analysis of a phenomenon in its natural context. As such, the researcher does not intervene directly, but limits their involvement to measuring the variables required for the study. Due to its observational nature, it is often used in descriptive research.

Quasi-Experimental Research

It controls only some variables of the phenomenon under investigation and is therefore not entirely experimental. In this case, the study and the focus group cannot be randomly selected, but are chosen from existing groups or populations . This is to ensure the collected data is relevant and that the knowledge, perspectives and opinions of the population can be incorporated into the study.

According to the Type of Inference

Deductive investigation.

In this type of research, reality is explained by general laws that point to certain conclusions; conclusions are expected to be part of the premise of the research problem and considered correct if the premise is valid and the inductive method is applied correctly.

Inductive Research

In this type of research, knowledge is generated from an observation to achieve a generalisation. It is based on the collection of specific data to develop new theories.

Hypothetical-Deductive Investigation

It is based on observing reality to make a hypothesis, then use deduction to obtain a conclusion and finally verify or reject it through experience.

According to the Time in Which it is Carried Out

Longitudinal study (also referred to as diachronic research).

It is the monitoring of the same event, individual or group over a defined period of time. It aims to track changes in a number of variables and see how they evolve over time. It is often used in medical, psychological and social areas .

Cross-Sectional Study (also referred to as Synchronous Research)

Cross-sectional research design is used to observe phenomena, an individual or a group of research subjects at a given time.

According to The Sources of Information

Primary research.

This fundamental research type is defined by the fact that the data is collected directly from the source, that is, it consists of primary, first-hand information.

Secondary research

Unlike primary research, secondary research is developed with information from secondary sources, which are generally based on scientific literature and other documents compiled by another researcher.

According to How the Data is Obtained

Documentary (cabinet).

Documentary research, or secondary sources, is based on a systematic review of existing sources of information on a particular subject. This type of scientific research is commonly used when undertaking literature reviews or producing a case study.

Field research study involves the direct collection of information at the location where the observed phenomenon occurs.

From Laboratory

Laboratory research is carried out in a controlled environment in order to isolate a dependent variable and establish its relationship with other variables through scientific methods.

Mixed-Method: Documentary, Field and/or Laboratory

Mixed research methodologies combine results from both secondary (documentary) sources and primary sources through field or laboratory research.

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Project Management for Research

The tools you need to make your research project a success.

This toolkit includes a variety of tools for managing your research projects including recommendations for general project management software and tools to help you and your team manage activities from grant writing to implementation and project closeout.

Explore the toolkit below:

Grant Writing + Project Development

A Gantt Chart is a popular project management tool; it is a type of bar chart that illustrates a project’s schedule. The chart allows for organizing and viewing project activities and tasks against pre-established timeframes.

Gantt Chart Template Gantt Chart Instructions Gantt Chart Example

Graphic display of the flow or sequence of events that a product or service follows; it shows all activities, decision points, rework loops and handoffs.

Process maps allow the team to visualize the process and come to agreement on the steps of a process as well as examine which activities are duplicated. Process maps are used to:

• Capture current and new process information
• Identify the flow of a process
• Identify responsibility of different business functions
• Clearly show hand-off between functions
• Identify value added and non-value added activities
• Train team members in new process

Process Map Template Process Mapping Guide Process Map Example 1 Process Map Example 2

The Data Management Plan (DMP) defines the responsibilities related to the entry, ownership, sharing, validation, editing and storage of primary research data.

A data management plan must not only reflect the requirements of the protocol/project but also comply with applicable institutional, state and federal guidelines and regulations. The DMP Tool details your agencies expectations, has suggested language for REDCap and exports a properly formatted plan.

DMP Tool NIH Data Management & Sharing (DMS) Policy

The Project Charter's purpose is to define at a high level what the Project Team will deliver, what resources are needed and why it is justified.

The Project Charter also represents a commitment to dedicate the necessary time and resources to the project. It can be especially useful when organizing a multi-disciplinary, internally funded team. The document should be brief (up to three pages maximum).   

Project Charter Template Project Charter Instructions Project Charter Example

Milestones are an effective way to track major progress in your research project.

A Gantt Chart is an effective tool for setting and tracking milestones and deliverables. It is a type of bar chart that illustrates a project’s schedule.  

The proposal budget should be derived directly from the project description.

The proposal budget should follow the format specified by the sponsor. The Office of Sponsored Programs Budget Preparation webpages provide descriptions of the standard budget categories, lists of typical components of those categories, Ohio State rates where appropriate and other details to help ensure your budget is complete. Budget Preparation Resources from Office of Research The 398 grant form from the NIH is a template that includes standard categories required for an NIH grant (and many others) that you can use to develop a preliminary budget.

PHS 398 Forms PHS 398 Budget form for Initial Project Period Template PHS 398 Budget Form for Entire Proposal Project Template

The Risk Assessment and Mitigation Plan first assists the research team in anticipating risk that may occur during the research project before it happens.

The plan then specifies when to act to mitigate risk by defining thresholds and establishing action plans to follow. As a fundamental ethical requirement research risks are to be minimized to the greatest extent possible for all research endeavors. This includes not only prompt identification measures but also response, reporting and resolution. Risk Assessment and Mitigation Plan Template Risk Assessment and Mitigation Plan Example

The Work Breakdown Structure (WBS) organizes the research project work into manageable components.

It is represented in a hierarchical decomposition of the work to be executed by the research project team. It visually defines the scope into manageable chunks that the team can understand.  WBS Instructions and Template WBS Structure Example

Implementation

A Gantt Chart is a popular project management tool; it is a type of bar chart that illustrates a project’s schedule.

The chart allows for organizing and viewing project activities and tasks against pre-established timeframes. A Gantt Chart can also be used for tracking milestones and major progresses within your research project.

The purpose is to define at a high level what the Project Team will deliver, what resources are needed and why it is justified.   

It is represented in a hierarchical decomposition of the work to be executed by the research project team. It visually defines the scope into manageable chunks that the team can understand.  WBS Instructions + Template WBS Structure Example

A communications plan facilitates effective and efficient dissemination of information to the research team members and major stakeholders in the research project.

It describes how the communications will occur; the content, security, and privacy of those communications; along with the method of dissemination and frequency.

Communications Plan Template Communications Plan Example

The Data Management Plan (DMP) defines the responsibilities related to the entry, ownership, sharing, validation, editing, and storage of primary research data.

A data management plan must not only reflect the requirements of the protocol/project but also comply with applicable institutional, state, and federal guidelines and regulations. The DMP Tool details your agencies expectations, has suggested language for REDCap, and exports a properly formatted plan.

DMP Tool DMP Tool Instructions Ohio State Research Guide: Data

The chart allows for organizing and viewing project activities and tasks against pre-established timeframes. Gantt Chart Template Gantt Chart Instructions Gantt Chart Example

This tool helps you capture details of issues that arise so that the project team can quickly see the status and who is responsible for resolving it.

Further, the Issue Management Tool guides you through a management process that gives you a robust way to evaluate issues, assess their impact, and decide on a plan for resolution.

Issue Management Tool Template Issue Management Tool Instructions Issue Management Example

A Pareto Chart is a graphical tool that helps break down a problem into its parts so that managers can identify the most frequent, and thus most important, problems.

It depicts in descending order (from left to right) the frequency of events being studied. It is based on the Pareto Principle or “80/20 Rule”, which says that roughly 80% of problems are caused by 20% of contributors. With the Pareto Principle Project Managers solve problems by identifying and focusing on the “vital few” problems. Managers should avoid focusing on “people” problems. Problems are usually the result of processes, not people.

Pareto Chart Template Pareto Chart Instructions Pareto Chart Example

Closeout, Transfer + Application

Completing a project means more than finishing the research. 

There remain financial, personnel, reporting, and other responsibilities. These tasks typically need to be completed within a timeline that begins 60 to 90 days before the project end date and 90 days after. Specifics will vary depending on the project and the funding source. The Office of Sponsored Programs “Project Closeout” webpage provides a description closeout issues, a list of PI Responsibilities and other details to help ensure your project is in fact complete.  Project Closeout Checklist Project Closeout Resources from Office of Research

A communications plan facilitates effective and efficient dissemination of information to the research team members and major stakeholders in the research project. 

It describes how the communications will occur; the content, security and privacy of those communications; along with the method of dissemination and frequency.

Project Management Software

An open-source project management software similar to Microsoft Project.

OpenProject  has tools to create dashboards, Gantt Charts, budgets, and status reports. Activities can be assigned to team members and progress monitored. OpenProject also has a tool for Agile Project Management. While the software is free, OpenProject must be installed and maintained on a local server and there will probably be costs associated with this. Talk to your departmental or college IT staff.

A secure, web-based project management system.

Basecamp  offers an intuitive suite of tools at a minimal cost: ~$20/month or free for teachers. Basecamp facilitates collaboration between research team members with features such as to-do lists, messaging, file sharing, assignment of tasks, milestones, due dates and time tracking.  

A project management tool that organizes tasks, activities, responsibilities and people on projects.

Trello can help manage research projects by keeping everyone on time and on task. It uses a distinctive interface based on cards and lists and may be especially useful for smaller projects.

If you have a disability and experience difficulty accessing this content, please submit an email to [email protected] for assistance.

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Research methods--quantitative, qualitative, and more: overview.

• Quantitative Research
• Qualitative Research
• Data Science Methods (Machine Learning, AI, Big Data)
• Text Mining and Computational Text Analysis
• Evidence Synthesis/Systematic Reviews
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About Research Methods

This guide provides an overview of research methods, how to choose and use them, and supports and resources at UC Berkeley. 

As Patten and Newhart note in the book Understanding Research Methods , "Research methods are the building blocks of the scientific enterprise. They are the "how" for building systematic knowledge. The accumulation of knowledge through research is by its nature a collective endeavor. Each well-designed study provides evidence that may support, amend, refute, or deepen the understanding of existing knowledge...Decisions are important throughout the practice of research and are designed to help researchers collect evidence that includes the full spectrum of the phenomenon under study, to maintain logical rules, and to mitigate or account for possible sources of bias. In many ways, learning research methods is learning how to see and make these decisions."

The choice of methods varies by discipline, by the kind of phenomenon being studied and the data being used to study it, by the technology available, and more.  This guide is an introduction, but if you don't see what you need here, always contact your subject librarian, and/or take a look to see if there's a library research guide that will answer your question. 

Suggestions for changes and additions to this guide are welcome! 

START HERE: SAGE Research Methods

Without question, the most comprehensive resource available from the library is SAGE Research Methods.  HERE IS THE ONLINE GUIDE  to this one-stop shopping collection, and some helpful links are below:

• SAGE Research Methods
• Little Green Books  (Quantitative Methods)
• Little Blue Books  (Qualitative Methods)
• Dictionaries and Encyclopedias  
• Case studies of real research projects
• Sample datasets for hands-on practice
• Streaming video--see methods come to life
• Methodspace- -a community for researchers
• SAGE Research Methods Course Mapping

Library Data Services at UC Berkeley

Library Data Services Program and Digital Scholarship Services

The LDSP offers a variety of services and tools !  From this link, check out pages for each of the following topics:  discovering data, managing data, collecting data, GIS data, text data mining, publishing data, digital scholarship, open science, and the Research Data Management Program.

Be sure also to check out the visual guide to where to seek assistance on campus with any research question you may have!

Library GIS Services

Other Data Services at Berkeley

D-Lab Supports Berkeley faculty, staff, and graduate students with research in data intensive social science, including a wide range of training and workshop offerings Dryad Dryad is a simple self-service tool for researchers to use in publishing their datasets. It provides tools for the effective publication of and access to research data. Geospatial Innovation Facility (GIF) Provides leadership and training across a broad array of integrated mapping technologies on campu Research Data Management A UC Berkeley guide and consulting service for research data management issues

General Research Methods Resources

Here are some general resources for assistance:

• Assistance from ICPSR (must create an account to access): Getting Help with Data , and Resources for Students
• Wiley Stats Ref for background information on statistics topics
• Survey Documentation and Analysis (SDA) .  Program for easy web-based analysis of survey data.

Consultants

• D-Lab/Data Science Discovery Consultants Request help with your research project from peer consultants.
• Research data (RDM) consulting Meet with RDM consultants before designing the data security, storage, and sharing aspects of your qualitative project.
• Statistics Department Consulting Services A service in which advanced graduate students, under faculty supervision, are available to consult during specified hours in the Fall and Spring semesters.

Related Resourcex

• IRB / CPHS Qualitative research projects with human subjects often require that you go through an ethics review.
• OURS (Office of Undergraduate Research and Scholarships) OURS supports undergraduates who want to embark on research projects and assistantships. In particular, check out their "Getting Started in Research" workshops
• Sponsored Projects Sponsored projects works with researchers applying for major external grants.
• Next: Quantitative Research >>
• Last Updated: Apr 25, 2024 11:09 AM
• URL: https://guides.lib.berkeley.edu/researchmethods

Project Management

Learning outcomes:.

After you complete this section you will be able to:

• Learn how to create an action plan to successfully complete your project
• Develop strategies to manage your time effectively
• Learn useful tips for successful team work
• Learn how to manage risks associated with completing a project

What is project management?

The Project Management Institute (PMI) defines a project as a “temporary endeavor undertaken to create a unique product, service, or result.” The ‘endeavour’ or ‘unique product’ in this case is your research project. It is about how you manage all aspects of writing your project so that you deliver a good piece of work by the deadline date for submission.

Project management (PM) involves setting clear goals, breaking down your project into bite-size tasks with clear deadlines, developing time management strategies to accomplish these tasks, and working with your supervisor and with other students. It also involves monitoring your project to ensure you are on schedule.

This short video gives tips on how to plan and monitor your project to ensure that you complete your research project on time.

To summarise :

In order to successfully complete your research project, you will need to:

• Set goals . An example of a goal is to list all of the tasks that you would like to accomplish in the first or second semester. 
• Break down tasks . An example would be to arrange your tasks monthly and weekly and daily. If you have four writing goals for September, then you can place one in each week of the month. If you have two, then give yourself two weeks for each.
• Implement strategies for accomplishing your tasks.
• Monitor and adjust the project as you go along.

The library holds a number of books about project management for students which cover additional information about managing your research project. The following are recommended. Search the library’s online catalogue to find the books and their location in the library.

The  next section is all about time management, looking at tips and tools to keep you on track.

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How Project Management Techniques Can Improve Research

Without established timelines or performance measures by which to track progress, it can feel like you are constantly racing against time and funding to produce results.

Best Practices for Keeping Research Projects on Track and Within Budget

It’s easy to get caught up in a rat race when conducting scientific research. Basic research, often carried out in an academic-type setting (e.g., research university, government research lab), tends to be hypothesis-driven or exploratory in nature rather than product-driven as in industry. Thus a basic research project may not have clearly defined goals, and unexpected results may alter the course of action at any given time.

Without established timelines or performance measures by which to track progress, it can feel like you are constantly racing against time and funding to produce results. However, traditional project management methods can be adapted for research projects to make lab work more efficient and productive by defining deadline-driven project deliverables and milestones, performance measures to evaluate progress, and the resources needed to get there. This information can be captured in a project management plan that creates a road map to guide successful project implementation.

The case for research project management

In the “ Making the Right Moves: A Practical Guide to Scientific Management for Postdocs and New Faculty ” report by the Howard Hughes Medical Institute (HHMI), project management is defined as “a series of flexible and iterative steps through which you identify where you want to go and a reasonable way to get there, with specifics of who will do what and when.”

Traditional project management methods have been standardized and successfully employed across a number of industries (e.g., construction management, software development) where projects have definitive timelines and product requirements. However, Kathy Huczko, a project management consultant, points out that basic research “focuses on gaining knowledge instead of driving for new product creation,” and thus traditional project management processes cannot be strictly followed.

Huczko underscores, “In industry, the project plan gets adjusted as learning occurs and is retargeted to the product the project is committed to producing. In conducting [basic research], the end result or product is not the significant part of the result; research is planned and conducted using the scientific method, intermediate products in the form of datasets and papers are produced, and the null hypothesis is true or not.” She continues, “Based on the progress and learning to date, the project may be replanned and take off in an entirely new direction. This major replanning would rarely be acceptable in industry but must be the accepted process in [basic] research.”

Further, Susan Singer, a Stanford certified project manager and consultant, writes in her article “ Project Management in the Research Environment ,” that “The higher levels of uncertainty—while customary, accepted, and even embraced in the scientific setting—would constitute unacceptable risk in most business settings.” Thus Singer advocates for research project management as a subdiscipline that can provide the tools and resources for researchers to better organize projects, but with flexibility in the planning process to evolve with the project as needed.

The need for project management skills in academic science

Lab and project management training has not traditionally been included in the curriculum for academic scientists but has been gaining traction in recent years. Institutions are starting to offer a variety of training options, from professional science master’s degrees to business management certifications for postdoctoral researchers.

These skills can also be learned on the job. Joshua Blodgett, assistant professor of biology at Washington University, honed his project management skills during a leadership role in a biotech start-up. He explains, “There was a lot of pressure to do project management well and [manage] everything that comes along with a multipart group that needs to execute on making a tangible product in a short time launch. That is industry; they need that product. There’s a sense of urgency that you might not normally have in dealing with a typical academic environment.”

Blodgett says once you learn these skills, there is no turning back, and he has successfully transferred these skills to his current academic role. As he explains, “My interactions with students and technicians are completely different than they would have been if I had taken a strictly academic path. I have an additional element of goal setting and organization that I insist on, and that directly comes from the goal setting and review process on a quarterly fashion from industry.” He continues, “That way of thinking around organization of experiments, having your outlines done, and then seeing a direct path to publication just makes you a more productive individual with not that much more effort.”

Related Article: 5 W's of Project Management

With the increasing trend in multi-institutional collaborations, funding agencies are also starting to require project management plans and budgeted project manager positions as part of collaborative proposals to ensure effective functioning of research teams. And as Singer references, “Eighty percent of high-performing projects are led by a certified project manager, yet barely half of projects actually employ one.” Therefore, it may be worth the investment to delegate project management responsibilities to a dedicated team member or consultant trained in these skills.

Overall, how does project management benefit academic researchers? As the HHMI report summarizes best, “While keeping creativity intact, project management can help reduce wasted effort, track progress (or lack of it) and respond quickly to deviations from important aims.” These factors can help researchers work smarter with available resources and better compete for funding by demonstrating a positive track record of project success.

Evaluating the potential of research projects

At the core of project management is the balancing act among the triple constraints of time, funding, and scope, while ensuring high quality and performance. While time is usually the limiting factor in industry, the uncertain funding environment in academic research may constrain projects to a greater extent. Additionally, the products of basic research are more variable. As the HHMI report explains, “Put simply, project management means allocating, using, and tracking resources to achieve a goal in a desired time frame. In a scientific setting, goals may include publishing a paper, obtaining a research grant, completing a set of experiments, or even achieving tenure.”

Therefore, careful evaluation of project ideas for their potential return on investment is the first step in the project life cycle. Such factors to consider include whether the project will result in additional funding faster, whether the resources are available to conduct the project, and whether there is enough time to obtain project results (e.g., preliminary results) before other impending deadlines. An additional consideration is to evaluate whether the project’s scope aligns with the overall theme of the research lab and the missions of any sponsoring organizations (e.g., affiliated institutions, funding agencies).

Creating a road map to guide successful project implementation

Once a project is selected, thorough planning is required to document the key requirements in a project management plan. This high-level document identifies the primary goals, objectives, and activities (i.e., scope); sets the strategy for the project (e.g., performance measures, budget, timeline); and outlines expectations for how work (e.g., communication, data management, quality control) will be conducted by the research team.

Integral to this document is a project timeline that clearly defines milestones (e.g., major events) and deliverables (e.g., project outputs), with corresponding performance measures that will allow progress to be tracked on a regular basis. As Singer explains, “Although the [planning] process is involved and sometimes tedious, what is produced is an easily scanned road map that will inform the team and any entities to which it must report of exactly what the benchmarks are, when they’ll be met, and what steps and resources are necessary to get there.”

This information must subsequently be communicated to the research team and relevant stakeholders to create a culture of shared ownership toward research goals and open communication throughout the project life cycle. A kickoff meeting can be held initially, and then regular touch points are built in to communicate changes, report on progress, and troubleshoot any anticipated project delays. The project management plan should be reviewed on an at least annual basis to make minor revisions and updates as needed.

Keeping the project on its critical path to completion

During the project implementation phase, continuous monitoring allows the researcher to regularly track progress toward the performance measures, anticipate any slowdowns in the process through risk analyses (i.e., “what-if ” scenarios), and take corrective actions as necessary to keep the project on task. Singer also explains that “you have to fail fast so that you can move on to the next possible solution that will accomplish the goal while not depleting the resources available to complete the project or necessitate more equipment, time, people, and/or money than were allocated from the start.”

Singer further emphasizes that this “process demands constant introspection and self-correction” throughout the project life cycle. As she explains, “You’re continuously looking back at your road map and asking, ‘Am I doing what I should be doing when I should be doing it? If not, why not? Are the things that matter being measured so that I can report the appropriate metrics when the time comes? Is my work tracking in such a way that my colleagues, who are reliant on my part of the project, will have the product or data necessary to do their work?’”

Blodgett applies a number of project management skills to ensure projects are following the critical path to completion. For example, when multiple lab members are working together on a project, he has them create an online spreadsheet with every step that affects each of the others in its own separate column, generating a Ganttstyle chart. As he mentions, “I use the online documents that track project progress, not so I can oversee every aspect but so I know where things are, and then the other person should know when things are coming.” He also outsources technical work as needed to prevent significant delays in project timelines.

As science can be unpredictable, the research project management process must remain flexible and adaptable to allow for new discoveries and lines of inquiry along the way. As the HHMI report concludes, “No matter how much you’ve invested in a project, it’s never too late to redirect or stop work altogether if you discover, for example, that another route is more promising than the main avenue of research, or a key premise was off base, or that someone publishes the work before you do.”

Recommended reading

1. Howard Hughes Medical Institute. (2006) Chapter 7: Project Management in Making the Right Moves: A Practical Guide to Scientific Management for Postdocs and New Faculty, Second Edition. http://www.hhmi.org/developing-scientists/making-right-moves

2. Kridelbaugh, D. (2016) “Managing from a Distance.” Lab Manager . http://www.labmanager.com/leadership-and-staffing/2016/03/managing-from-a-distance  

3. Kridelbaugh, D. (2015) “Onboarding.” Lab Manager . http://www.labmanager.com/leadership-and-staffing/2015/07/onboarding  

4. Kridelbaugh, D. (2016) “Open Communication.” Lab Manager . http:// www.labmanager.com/leadership-and-staffing/2016/03/open-communication  

5. Project Management Institute (online). “Tools and Templates.” http://www.pmi.org/learning/tools-templates

6. Singer, S. (2010) “Project Management in the Research Environment.” Best Thinking. https://www.bestthinking.com/articles/science/applied_science/project-management-in-the-research-environment  

7. Singer, S. (online) Susan Singer, SCPM. http://www.singerscpm.com/

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Research Methodology – Types, Examples and writing Guide

Table of Contents

Research Methodology

Definition:

Research Methodology refers to the systematic and scientific approach used to conduct research, investigate problems, and gather data and information for a specific purpose. It involves the techniques and procedures used to identify, collect , analyze , and interpret data to answer research questions or solve research problems . Moreover, They are philosophical and theoretical frameworks that guide the research process.

Structure of Research Methodology

Research methodology formats can vary depending on the specific requirements of the research project, but the following is a basic example of a structure for a research methodology section:

I. Introduction

• Provide an overview of the research problem and the need for a research methodology section
• Outline the main research questions and objectives

II. Research Design

• Explain the research design chosen and why it is appropriate for the research question(s) and objectives
• Discuss any alternative research designs considered and why they were not chosen
• Describe the research setting and participants (if applicable)

III. Data Collection Methods

• Describe the methods used to collect data (e.g., surveys, interviews, observations)
• Explain how the data collection methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or instruments used for data collection

IV. Data Analysis Methods

• Describe the methods used to analyze the data (e.g., statistical analysis, content analysis )
• Explain how the data analysis methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or software used for data analysis

V. Ethical Considerations

• Discuss any ethical issues that may arise from the research and how they were addressed
• Explain how informed consent was obtained (if applicable)
• Detail any measures taken to ensure confidentiality and anonymity

VI. Limitations

• Identify any potential limitations of the research methodology and how they may impact the results and conclusions

VII. Conclusion

• Summarize the key aspects of the research methodology section
• Explain how the research methodology addresses the research question(s) and objectives

Research Methodology Types

Types of Research Methodology are as follows:

Quantitative Research Methodology

This is a research methodology that involves the collection and analysis of numerical data using statistical methods. This type of research is often used to study cause-and-effect relationships and to make predictions.

Qualitative Research Methodology

This is a research methodology that involves the collection and analysis of non-numerical data such as words, images, and observations. This type of research is often used to explore complex phenomena, to gain an in-depth understanding of a particular topic, and to generate hypotheses.

Mixed-Methods Research Methodology

This is a research methodology that combines elements of both quantitative and qualitative research. This approach can be particularly useful for studies that aim to explore complex phenomena and to provide a more comprehensive understanding of a particular topic.

Case Study Research Methodology

This is a research methodology that involves in-depth examination of a single case or a small number of cases. Case studies are often used in psychology, sociology, and anthropology to gain a detailed understanding of a particular individual or group.

Action Research Methodology

This is a research methodology that involves a collaborative process between researchers and practitioners to identify and solve real-world problems. Action research is often used in education, healthcare, and social work.

Experimental Research Methodology

This is a research methodology that involves the manipulation of one or more independent variables to observe their effects on a dependent variable. Experimental research is often used to study cause-and-effect relationships and to make predictions.

Survey Research Methodology

This is a research methodology that involves the collection of data from a sample of individuals using questionnaires or interviews. Survey research is often used to study attitudes, opinions, and behaviors.

Grounded Theory Research Methodology

This is a research methodology that involves the development of theories based on the data collected during the research process. Grounded theory is often used in sociology and anthropology to generate theories about social phenomena.

Research Methodology Example

An Example of Research Methodology could be the following:

Research Methodology for Investigating the Effectiveness of Cognitive Behavioral Therapy in Reducing Symptoms of Depression in Adults

Introduction:

The aim of this research is to investigate the effectiveness of cognitive-behavioral therapy (CBT) in reducing symptoms of depression in adults. To achieve this objective, a randomized controlled trial (RCT) will be conducted using a mixed-methods approach.

Research Design:

The study will follow a pre-test and post-test design with two groups: an experimental group receiving CBT and a control group receiving no intervention. The study will also include a qualitative component, in which semi-structured interviews will be conducted with a subset of participants to explore their experiences of receiving CBT.

Participants:

Participants will be recruited from community mental health clinics in the local area. The sample will consist of 100 adults aged 18-65 years old who meet the diagnostic criteria for major depressive disorder. Participants will be randomly assigned to either the experimental group or the control group.

Intervention :

The experimental group will receive 12 weekly sessions of CBT, each lasting 60 minutes. The intervention will be delivered by licensed mental health professionals who have been trained in CBT. The control group will receive no intervention during the study period.

Data Collection:

Quantitative data will be collected through the use of standardized measures such as the Beck Depression Inventory-II (BDI-II) and the Generalized Anxiety Disorder-7 (GAD-7). Data will be collected at baseline, immediately after the intervention, and at a 3-month follow-up. Qualitative data will be collected through semi-structured interviews with a subset of participants from the experimental group. The interviews will be conducted at the end of the intervention period, and will explore participants’ experiences of receiving CBT.

Data Analysis:

Quantitative data will be analyzed using descriptive statistics, t-tests, and mixed-model analyses of variance (ANOVA) to assess the effectiveness of the intervention. Qualitative data will be analyzed using thematic analysis to identify common themes and patterns in participants’ experiences of receiving CBT.

Ethical Considerations:

This study will comply with ethical guidelines for research involving human subjects. Participants will provide informed consent before participating in the study, and their privacy and confidentiality will be protected throughout the study. Any adverse events or reactions will be reported and managed appropriately.

Data Management:

All data collected will be kept confidential and stored securely using password-protected databases. Identifying information will be removed from qualitative data transcripts to ensure participants’ anonymity.

Limitations:

One potential limitation of this study is that it only focuses on one type of psychotherapy, CBT, and may not generalize to other types of therapy or interventions. Another limitation is that the study will only include participants from community mental health clinics, which may not be representative of the general population.

Conclusion:

This research aims to investigate the effectiveness of CBT in reducing symptoms of depression in adults. By using a randomized controlled trial and a mixed-methods approach, the study will provide valuable insights into the mechanisms underlying the relationship between CBT and depression. The results of this study will have important implications for the development of effective treatments for depression in clinical settings.

How to Write Research Methodology

Writing a research methodology involves explaining the methods and techniques you used to conduct research, collect data, and analyze results. It’s an essential section of any research paper or thesis, as it helps readers understand the validity and reliability of your findings. Here are the steps to write a research methodology:

• Start by explaining your research question: Begin the methodology section by restating your research question and explaining why it’s important. This helps readers understand the purpose of your research and the rationale behind your methods.
• Describe your research design: Explain the overall approach you used to conduct research. This could be a qualitative or quantitative research design, experimental or non-experimental, case study or survey, etc. Discuss the advantages and limitations of the chosen design.
• Discuss your sample: Describe the participants or subjects you included in your study. Include details such as their demographics, sampling method, sample size, and any exclusion criteria used.
• Describe your data collection methods : Explain how you collected data from your participants. This could include surveys, interviews, observations, questionnaires, or experiments. Include details on how you obtained informed consent, how you administered the tools, and how you minimized the risk of bias.
• Explain your data analysis techniques: Describe the methods you used to analyze the data you collected. This could include statistical analysis, content analysis, thematic analysis, or discourse analysis. Explain how you dealt with missing data, outliers, and any other issues that arose during the analysis.
• Discuss the validity and reliability of your research : Explain how you ensured the validity and reliability of your study. This could include measures such as triangulation, member checking, peer review, or inter-coder reliability.
• Acknowledge any limitations of your research: Discuss any limitations of your study, including any potential threats to validity or generalizability. This helps readers understand the scope of your findings and how they might apply to other contexts.
• Provide a summary: End the methodology section by summarizing the methods and techniques you used to conduct your research. This provides a clear overview of your research methodology and helps readers understand the process you followed to arrive at your findings.

When to Write Research Methodology

Research methodology is typically written after the research proposal has been approved and before the actual research is conducted. It should be written prior to data collection and analysis, as it provides a clear roadmap for the research project.

The research methodology is an important section of any research paper or thesis, as it describes the methods and procedures that will be used to conduct the research. It should include details about the research design, data collection methods, data analysis techniques, and any ethical considerations.

The methodology should be written in a clear and concise manner, and it should be based on established research practices and standards. It is important to provide enough detail so that the reader can understand how the research was conducted and evaluate the validity of the results.

Applications of Research Methodology

Here are some of the applications of research methodology:

• To identify the research problem: Research methodology is used to identify the research problem, which is the first step in conducting any research.
• To design the research: Research methodology helps in designing the research by selecting the appropriate research method, research design, and sampling technique.
• To collect data: Research methodology provides a systematic approach to collect data from primary and secondary sources.
• To analyze data: Research methodology helps in analyzing the collected data using various statistical and non-statistical techniques.
• To test hypotheses: Research methodology provides a framework for testing hypotheses and drawing conclusions based on the analysis of data.
• To generalize findings: Research methodology helps in generalizing the findings of the research to the target population.
• To develop theories : Research methodology is used to develop new theories and modify existing theories based on the findings of the research.
• To evaluate programs and policies : Research methodology is used to evaluate the effectiveness of programs and policies by collecting data and analyzing it.
• To improve decision-making: Research methodology helps in making informed decisions by providing reliable and valid data.

Purpose of Research Methodology

Research methodology serves several important purposes, including:

• To guide the research process: Research methodology provides a systematic framework for conducting research. It helps researchers to plan their research, define their research questions, and select appropriate methods and techniques for collecting and analyzing data.
• To ensure research quality: Research methodology helps researchers to ensure that their research is rigorous, reliable, and valid. It provides guidelines for minimizing bias and error in data collection and analysis, and for ensuring that research findings are accurate and trustworthy.
• To replicate research: Research methodology provides a clear and detailed account of the research process, making it possible for other researchers to replicate the study and verify its findings.
• To advance knowledge: Research methodology enables researchers to generate new knowledge and to contribute to the body of knowledge in their field. It provides a means for testing hypotheses, exploring new ideas, and discovering new insights.
• To inform decision-making: Research methodology provides evidence-based information that can inform policy and decision-making in a variety of fields, including medicine, public health, education, and business.

Advantages of Research Methodology

Research methodology has several advantages that make it a valuable tool for conducting research in various fields. Here are some of the key advantages of research methodology:

• Systematic and structured approach : Research methodology provides a systematic and structured approach to conducting research, which ensures that the research is conducted in a rigorous and comprehensive manner.
• Objectivity : Research methodology aims to ensure objectivity in the research process, which means that the research findings are based on evidence and not influenced by personal bias or subjective opinions.
• Replicability : Research methodology ensures that research can be replicated by other researchers, which is essential for validating research findings and ensuring their accuracy.
• Reliability : Research methodology aims to ensure that the research findings are reliable, which means that they are consistent and can be depended upon.
• Validity : Research methodology ensures that the research findings are valid, which means that they accurately reflect the research question or hypothesis being tested.
• Efficiency : Research methodology provides a structured and efficient way of conducting research, which helps to save time and resources.
• Flexibility : Research methodology allows researchers to choose the most appropriate research methods and techniques based on the research question, data availability, and other relevant factors.
• Scope for innovation: Research methodology provides scope for innovation and creativity in designing research studies and developing new research techniques.

Research Methodology Vs Research Methods

About the author.

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Project management methodologies: 12 popular frameworks

Project management is an ever-evolving field that requires a number of approaches to be successful. Learning the most popular project management methodologies can help you become an industry expert. 

In order to be the best possible project manager , learn about each of these 12 frameworks to find the one that best fits your team’s needs. 

12 project management frameworks

What it is: The Agile project management methodology is one of the most common project management processes. But the reality is that Agile isn’t technically a methodology. Instead, it’s best defined as a project management principle. 

The basis of an Agile approach is:

Collaborative

Fast and effective

Iterative and data-backed

Values individuals over processes

When it comes to putting the Agile manifesto in place, teams often choose specific methodologies to use alongside Agile. These could include Scrum, Kanban, extreme programming, crystal, or even Scrumban . That's because connecting Agile methodology with a more detailed approach produces a well-rounded project management philosophy and a tangible plan for delivering great work. 

Who should use it: The Agile framework can be used for just about any team. This is because the principle behind it is rather universal. The real trick is deciding which methodology to use with it.

2. Waterfall

What it is: The waterfall model is also a very popular framework. But unlike Agile, waterfall is an actual methodology that is rather straightforward. The waterfall methodology , also known as software development life cycle (SDLC), is a linear process in which work cascades down (similar to a waterfall) and is organized in sequential order. 

To achieve this approach, each work task is connected by a dependency. This means each task must be completed before the next task can be started. Not only does this ensure that work stays on track, but it also fosters clear communication throughout the process. 

While viewed as a traditional approach by some modern organizations, this method is good for creating a predictable and thoroughly planned-out project plan . 

Who should use it: Since the waterfall project management methodology is so detailed, it’s great for working on large projects with multiple different stakeholders. This is because there are clear steps throughout the project and dependencies that help track the work needed to reach goals. 

What it is: The Scrum methodology involves short “sprints” that are used to create a project cycle. These cycles span one to two weeks at a time and are organized with teams of 10 or less. This is different from the waterfall approach where individual tasks are broken down into dependencies.

Scum is unique for a variety of reasons, one being the use of a Scrum master. Or, in other words, a project manager that leads daily Scrum meetings, demos, sprints, and sprint retrospectives after each sprint is completed. These meetings aim to connect project stakeholders and ensure tasks are completed on time. 

While Scrum is technically a project management methodology in its own right, it’s most commonly associated with an Agile framework. This is because they share similar principles, such as collaboration and valuing individuals over processes. 

Who should use it: Teams that use an Agile approach should use, or at least try, the Scrum methodology as well. Since sprints are divided into small teams, this approach can work for both small and large teams. 

What it is: The Kanban methodology represents project backlogs using visual elements, specifically boards. This approach is used by Agile teams to better visualize workflows and project progress while decreasing the likelihood of bottlenecks. It’s also usually in the form of a software tool that allows you to change and drag boards seamlessly within projects, though it’s not a requirement. 

Since this method doesn’t have a defined process like others, many teams use it differently. The main concept to keep in mind is that Kanban aims to focus on the most important project tasks, keeping the overall framework simple.

Who should use it: Kanban boards are great for teams of all sizes and specifically remote-first teams. This is because the visual capabilities of Kanban boards help team members stay on track no matter where they are. 

5. Scrumban

What it is: As you may have guessed, Scrumban is a methodology that draws inspiration from both Scrum and Kanban frameworks. Some think of this as a hybrid approach that incorporates the best of each. 

Scrumban uses a similar sprint cycle as Scrum but allows individual tasks to be pulled into the plan like Kanban. This allows the most important work to be completed and keeps project plans simple. Scrumban also uses Scrum meetings to enhance collaboration and keep goals top of mind. 

Who should use it: If you like the idea of breaking down a project into smaller tasks, but likewise want to keep it visually simple, Scrumban might be for you. It’s the perfect intersection of simplicity and clarity.  

What it is: PRINCE2 , otherwise known as PR ojects IN C ontrolled E nvironments, uses the overarching waterfall methodology to define stages within a project. It was initially created by the UK government for IT projects and still primarily suits large IT initiatives over the traditional product or market-focused projects. 

There are seven main principles of PRINCE2, which include:

Starting a project

Directing a project

Initiating a project

Controlling a project

Managing product delivery

Managing a stage boundary

Closing a project

These seven principles create a thorough project process and make for an effective enterprise project methodology altogether. It aims to define roles and back management. Not only that, but PRINCE2 can be used to streamline a ton of individual project management tasks, like controlling a stage, managing product delivery, and initiating and closing a project. 

Who should use it: Due to the particular nature of the PRINCE2 project management methodology, it’s best suited for large enterprise projects with a number of project stakeholders . Using it for small projects may create a longer and more complicated process than necessary. 

7. Six Sigma

What it is: Unlike the other PM methodologies, Six Sigma is used for quality management and is frequently described as a philosophy rather than a traditional methodology. It is often paired with either a lean methodology or Agile framework, otherwise known as lean Six Sigma and Agile Six Sigma. 

The main purpose of Six Sigma is to continuously improve processes and eliminate defects. This is achieved through continuous improvements by field experts to sustain, define, and control processes. 

To take this method one step further, you can use a Six Sigma DMAIC process, which creates a phased approach. These phases include:

Define: Create a project scope , business case , and initial stand-up meeting.

Measure: Collect data that helps inform improvement needs.

Analyze: Identify the root causes of problems. 

Improve: Solve the root causes found.

Control: Work to sustain the solutions for future projects. 

Who should use it: Six Sigma is best for large organizations, usually those with a few hundred employees or more. This is when the need to eliminate project waste starts to have a larger impact on your organization. 

8. Critical path method (CPM)

What it is: The critical path method works to identify and schedule critical tasks within a project. This includes creating task dependencies, tracking project goals and progress, prioritizing deliverables , and managing due dates—all of which are similar to a work breakdown structure .

The objective of this methodology is to properly manage successful projects at scale so that milestones and deliverables are mapped correctly. 

Who should use it: The critical path method is best for small and mid-size projects and teams. This is because large projects require many deliverables with multiple stakeholders and the CPM isn’t built to manage complex projects. 

9. Critical chain project management (CCPM)

What it is: The critical chain project management framework is closely related to the critical path methodology but is even more detailed, making it one of the most comprehensive options. 

Along with implementing a work breakdown structure like CPM, CCPM includes specific time requirements for each task. This helps take task tracking one step further, making it clear when tasks are going over their allotted time. It also uses resource leveling which aims to resolve large workloads by distributing work across available resources. 

Not only do these help both productivity and efficiency, but they also help connect the work needed to be completed with project goals. Many project management tools even have visual elements to better visualize these goals, creating an organized road map for team members. 

Who should use it: CCPM is a great method for both small and large teams, but it mostly helps solve project efficiency problems . It can also be a great way to report work in progress to leadership. 

What it is: The lean project management methodology aims to cut waste and create a simple framework for project needs. This ultimately means doing more with less in order to maximize efficiency and teamwork. 

While reducing waste originally referred to a physical product (which dates back to the method used by Henry Ford and later by Toyota and Motorola), it now refers to wasteful practices. There are three Ms that represent this:

Muda (wastefulness): Practices that consume resources but don’t add value  

Mura (unevenness): Occurs through overproduction and leaves behind waste 

Muri (overburden): Occurs when there is too much strain on resources  

As a project manager, your job is to prevent the three Ms in order to better execute projects and streamline processes. This is similar to the approach of rational unified process (RUP), which also aims to reduce waste. The difference is that RUP aims to reduce development costs instead of wasteful practices. 

Who should use it: Since lean is all about reducing waste, it’s best suited for teams struggling with efficiency issues. While this will have a greater impact on large organizations, it can be helpful for project teams of all sizes. 

11. Project management institute’s PMBOK® Guide

What it is: While the PMI’s Project Management Body of Knowledge is associated as a project management methodology, it’s more closely related to a set of best practices that take into account various development processes. 

This framework focuses on implementing the five project management phases , all of which help easily manage a project from start to finish in a structured phase approach. The five phases include:

Project initiation

Project planning

Project executing

Project performance

Project closure

While this is a good foundation to keep in mind, the PMBOK® Guide isn’t necessarily as specific as other approaches. This means you’ll need to decide which tasks to complete in each phase. 

Who should use it: The PMBOK® Guide can be used on its own for small teams on standard projects, though it’s a good idea to pair it with a more detailed methodology (like CPM) for large teams handling complex projects. 

12. Extreme programming (XP)

What it is: As the name suggests, extreme programming is used for fast-paced projects with tight deadlines. The approach works by creating short development cycles with many releases. This makes for quick turnaround times and increased productivity . 

Extreme programming has a few core values, which include simplicity, communication, feedback, respect, and courage. It also includes a specific set of XP rules which includes all phases from planning to testing. 

Who should use it: Extreme programming can be used for individual projects with tight deadlines, most commonly with small to midsize teams. Since XP is a fast-paced method, it should be used lightly in order to prevent burnout . 

Choosing the right project management methodology for your team

There is no one-size-fits-all approach when it comes to project management methodologies. Each one offers unique principles to take a development project from an initial plan to final execution. 

The main aspects to keep in mind are the size of your team and how your team prefers to work. Here are some additional tips to consider:

Your industry : Consider if you’re in an industry that changes frequently. For example, a technology company would be an industry that is ever-evolving. This will affect project consistency and should be paired with either a flexible or stagnant methodology. 

Your project focus : Consider the objectives of your projects . Do you value people over efficiency? This will help pair you with a methodology that matches a similar objective. 

The complexity of projects : Are your projects on the more complex side, or are they usually straightforward? Some methods aren’t as good as others at organizing complex tasks, such a CCPM.

The specialization of roles : Consider how niche the roles within your team are. Can multiple team members alternate the same type of work, or do you need a method that focuses on specialization?

Your organization’s size : The size of your organization and team should be weighed heavily when deciding on a methodology. Methods like Kanban are universal for team size, while options like CPM are better suited for small teams. 

Whether your team members prefer a visual process like Kanban or a more traditional project management approach like the waterfall method, there’s an option for every type of team. To take a project management methodology one step further, consider a work management tool to better track and execute development projects. 

Methods to manage your projects mindfully

With the right project management methodology in place, you’ll be able to take your projects to new levels of efficiency and implement processes that are right for your team, your organization, and yourself.

Related resources

What are story points? Six easy steps to estimate work in Agile

What is a flowchart? Symbols and types explained

How to choose project management software for your team

7 steps to complete a social media audit (with template)

Research Methodology

Methodology refers to the overarching strategy and rationale of your research. Developing your methodology involves studying the research methods used in your field and the theories or principles that underpin them, in order to choose the approach that best matches your research objectives. Methodology is the first step in planning a research project.

Qualitative Data Coding

What Is a Focus Group?

Reviewed by Olivia Guy-Evans, MSc

Cross-Cultural Research Methodology In Psychology

What is internal validity in research.

Reviewed by Saul Mcleod, PhD

Scientific Method

Qualitative research, experiments.

The scientific method is a step-by-step process used by researchers and scientists to determine if there is a relationship between two or more variables. Psychologists use this method to conduct psychological research, gather data, process information, and describe behaviors.

Learn More: Steps of the Scientific Method

Variables apply to experimental investigations. The independent variable is the variable the experimenter manipulates or changes. The dependent variable is the variable being tested and measured in an experiment, and is 'dependent' on the independent variable.

Learn More: Independent and Dependent Variables

When you perform a statistical test a p-value helps you determine the significance of your results in relation to the null hypothesis. A p-value less than 0.05 (typically ≤ 0.05) is statistically significant.

Learn More: P-Value and Statistical Significance

Qualitative research is a process used for the systematic collection, analysis, and interpretation of non-numerical data. Qualitative research can be used to gain a deep contextual understanding of the subjective social reality of individuals.

The experimental method involves the manipulation of variables to establish cause-and-effect relationships. The key features are controlled methods and the random allocation of participants into controlled and experimental groups.

Learn More: How the Experimental Method Works in Psychology

Frequent Asked Questions

What does p-value of 0.05 mean?

A p-value less than 0.05 (typically ≤ 0.05) is statistically significant. It indicates strong evidence against the null hypothesis, as there is less than a 5% probability the results have occurred by random chance rather than a real effect. Therefore, we reject the null hypothesis and accept the alternative hypothesis.

However, it is important to note that the p-value is not the only factor that should be considered when interpreting the results of a hypothesis test. Other factors, such as effect size, should also be considered.

Learn More: What A p-Value Tells You About Statistical Significance

What does z-score tell you?

A  z-score  describes the position of a raw score in terms of its distance from the mean when measured in standard deviation units. It is also known as a standard score because it allows the comparison of scores on different variables by standardizing the distribution. The z-score is positive if the value lies above the mean and negative if it lies below the mean.

Learn More: Z-Score: Definition, Calculation, Formula, & Interpretation

What is an independent vs dependent variable?

The independent variable is the variable the experimenter manipulates or changes and is assumed to have a direct effect on the dependent variable. For example, allocating participants to either drug or placebo conditions (independent variable) to measure any changes in the intensity of their anxiety (dependent variable).

Learn More : What are Independent and Dependent Variables?

What is the difference between qualitative and quantitative?

Quantitative data is numerical information about quantities and qualitative data is descriptive and regards phenomena that can be observed but not measured, such as language.

Learn More: What’s the difference between qualitative and quantitative research?

Explore Research Methodology

What Is Face Validity In Research? Importance & How To Measure

Criterion Validity: Definition & Examples

Convergent Validity: Definition and Examples

Content Validity in Research: Definition & Examples

Construct Validity In Psychology Research

Concurrent Validity In Psychology

Internal vs. External Validity In Psychology

Qualitative Research: Characteristics, Design, Methods & Examples

Demand Characteristics In Psychology: Definition, Examples & Control

Between-Subjects vs. Within-Subjects Study Design

Random Assignment in Psychology: Definition & Examples

Double-Blind Experimental Study And Procedure Explained

Observer Bias: Definition, Examples & Prevention

Sampling Bias: Types, Examples & How to Avoid It

What is The Null Hypothesis & When Do You Reject The Null Hypothesis

Between-Subjects Design: Overview & Examples

What Is A Case Control Study?

Case Study Research Method in Psychology

Cohort Study: Definition, Designs & Examples

Cluster Sampling: Definition, Method and Examples

Convenience Sampling: Definition, Method and Examples

Confounding Variables in Psychology: Definition & Examples

Control Group vs Experimental Group

Controlled Experiment

Correlation in Psychology: Meaning, Types, Examples & coefficient

Extraneous Variables In Research: Types & Examples

Ethnocentrism In Psychology: Examples, Disadvantages, & Cultural Relativism

Ethical Considerations In Psychology Research

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12 Project Management Methodologies: Types, Tools, Techniques, And How to Choose

Written By : Bakkah

27 Feb 2024

Table of Content

Definition of Project Management Methodologies:

Types of project management methodologies, project management methodologies tools , project management methodologies techniques, how to choose a project management methodology, explore bakkah's leading courses to boost your skills in project management and business analysis:, popular articles.

PRINCE2 Methodology - 2024 Full Guide About Advantages and Disadvantages

Prosci Methodology - Change Management Methodology

Application of PMO in government entities in Saudi Arabia

Project management methodologies are systematic frameworks and guidelines utilized by organizations to efficiently plan, execute, and complete projects. They offer structured approaches to project management, ensuring adherence to timelines, budgets, and objectives. These methodologies encompass diverse principles, practices, and tools designed to facilitate effective communication and coordination among project-implementing teams. 

Project management methodologies vary in their approach, with some emphasizing flexibility and adaptability (e.g., Agile) while others focus on sequential and structured processes (e.g., Waterfall). The appropriate methodology must be selected according to the type of project and its unique circumstances. The goal is to enhance project efficiency, minimize risks, and deliver high-quality results, ultimately contributing to achieving the specified goals and objectives of the project.

Project management methodologies refer to the systematic frameworks, processes, and guidelines organizations follow to plan, execute, monitor, and complete projects. These methodologies provide a structured approach to managing projects, ensuring they are completed on time, within budget, and meet the specified goals and objectives.

Project management methodologies encompass diverse principles, practices, and tools designed to facilitate effective communication and coordination among project-implementing teams.

They can vary in their approach, with some methodologies emphasizing flexibility and adaptability (e.g., Agile), while others focus on sequential and structured processes (e.g., Waterfall). The appropriate methodology must be selected according to the type of project and its unique circumstances.

The goal of Project Management Methodologies is to enhance project efficiency, minimize risks, and deliver high-quality results, ultimately contributing to achieving the specified goals and objectives of the project.

Various tools support their implementation, enhancing collaboration and communication, while diverse techniques facilitate effective project planning, execution, and control.

There are diverse project management methodologies, each with different principles, processes, and approaches. Here are some common types:

1. Waterfall Methodology

Waterfall project management is a traditional approach to project management where tasks are completed sequentially and linearly. 

The methodology is called "waterfall" because progress is seen as flowing steadily downwards through phases, like a waterfall. Each phase must be completed before moving on to the next one, and changes to the project are generally not allowed once a phase is closed.

Here are the main phases in the waterfall project management methodology:

• Requirements: Define project scope, objectives, and deliverables.
• Design: Create a detailed plan for how the solution meets requirements.
• Implementation (or Construction): Include coding or construction of the project.
• Testing: Ensure the project meets specified requirements through various testing phases.
• Deployment (or Implementation): Implement the project in the production environment after the success of testing.
• Maintenance and Support: Address issues and user concerns and make updates as needed.

The waterfall methodology is best suited for projects where the requirements are well-understood and unlikely to change significantly during the development process.

It is often used in industries like construction and manufacturing. However, one of its main drawbacks is its inflexibility to adapt to changes once the project has started, as it does not easily accommodate changes in requirements.

2. Agile Methodology

Agile methodology is an iterative and flexible approach to project management that focuses on collaboration, adaptability, and customer satisfaction.

Unlike the linear nature of the waterfall model, agile divides a project into small increments with minimal planning and delivers functional pieces of the project in short time frames, known as iterations or sprints.

Primary principles and practices of agile include:

• Projects are divided into small manageable iterations, delivering potentially shippable product increments.
• Collaboration and communication between team members, stakeholders, and customers are crucial for quick adaptation to changes and alignment with goals.
• Continuous customer feedback allows for adjustments based on changing requirements.
• Agile is flexible and adaptable to changes in requirements or priorities at any stage.
• Continuous delivery aims for a potentially shippable product at the end of each iteration, allowing for early and regular value delivery to the customer.
• Prioritization and timeboxing based on value and importance ensure focus and urgency in delivering value.
• Agile encourages self-organizing, cross-functional team formation that collectively possess the necessary skills to deliver a complete product.

Popular agile frameworks include Scrum, Kanban, and Extreme Programming (XP), each with specific practices and roles. 

Agile is widely used in software development and various industries for its adaptability and customer-centric approach.

3. Scrum Framework

Scrum is one of the most widely used agile frameworks for managing complex software development projects. It provides a structured yet flexible approach to product development.

Key elements of the Scrum framework include:

• Roles: Include Product Owner, Scrum Master, and Development Team.
• Artifacts: Comprise the Product Backlog, Sprint Backlog, and Increment.
• Events: Include Sprint Planning, Daily Stand-up, Sprint Review, and Sprint Retrospective.

Scrum's iterative and incremental approach, along with its emphasis on collaboration and adaptability, makes it particularly effective for projects where requirements may change or evolve during development.

4. Kanban Methodology

Kanban is a project management methodology that visualizes workflow using boards, cards, and columns. It also limits tasks that are in progress simultaneously to prevent overloading the team and ensure a steady flow of work.

Emphasizing continuous improvement, Kanban employs feedback loops and a pull system, adapting work based on demand. Service Level Agreements (SLAs) are often used in Kanban to define the expected time frames.

Known for flexibility and adaptability, Kanban suits various industries like architecture, construction, marketing, education, software development, design, and law. Kanban fosters collaboration and shared responsibility and allows incremental process improvements based on specific needs and context.

5. Lean Project Management

Lean Project Management (LPM) is an approach to project management that draws inspiration from Lean principles. The Lean philosophy focuses on minimizing waste, optimizing efficiency, and continuously improving processes.

Lean principles are applied to enhance project delivery, reduce unnecessary activities, and deliver value more effectively. 

Principal aspects of Lean Project Management methodology include eliminating waste, using value stream mapping, continuous improvement (Kaizen), customer focus, pull scheduling, visual management, batch size reduction, flexible planning, and cross-functional team use. LPM is suitable for industries like manufacturing, construction, and software development.

Its focus on efficiency and customer value makes it a valuable approach for organizations seeking to optimize their project delivery processes.

6. PRINCE2 (Projects IN Controlled Environments)

PRINCE2 (Projects IN Controlled Environments) is a widely adopted project management methodology developed by the UK government. It provides a structured and process-driven approach to project management, emphasizing flexibility and adaptability.

PRINCE2 divides projects into manageable stages, with defined roles and responsibilities, ensuring organized and controlled project execution.

The methodology consists of seven processes:

• Starting Up a Project (SU): Ensures project prerequisites are in place.
• Initiating a Project (IP): Defines project scope, objectives, and plans.
• Directing a Project (DP): Provides senior management with chief controls.
• Controlling a Stage (CS): Manages day-to-day project activities.
• Managing Product Delivery (MP): Ensures efficient product work.
• Managing a Stage Boundary (SB): Focuses on transitioning between stages.
• Closing a Project (CP): Formally closes the project and ties up loose ends.

PRINCE2 is known for its focus on continuous improvement and adaptability, making it a valuable tool for delivering successful projects within time, cost, and quality constraints.

Boost your career with Bakkah’s PRINCE2 courses:

• PRINCE2® Training Course Online
• PRINCE2® Agile Foundation & Practitioner Online Course and Certification

7. Critical Path Method (CPM)

Critical Path Method (CPM) is a project management technique that identifies the critical path of activities, potential risks, team roles, and the sequence of tasks determining the shortest project duration. Key steps:

• Task Breakdown: Identify and sequence project tasks. 
• Duration Estimation: Assign time estimates to tasks.
• Network Diagram: Create a visual representation of task dependencies.
• Critical Path Identification: Find the path critical for project completion.
• Float/Slack Calculation: Determine non-critical task flexibility.
• Resource Allocation: Efficiently allocate resources.
• Monitoring and Control: Monitor progress continuously, update schedules, and take corrective actions., update schedules, and take corrective actions.

CPM is an essential tool for effective project planning and control. It aids in prioritizing critical tasks, managing time constraints, and optimizing project schedules. CMP can be used in several projects, such as engineering, manufacturing, construction, and science.

8. Six Sigma ( Continuous Improvement Methodology)

Six Sigma is a data-driven project management methodology focused on improving process efficiency continuously and reducing defects or errors. Developed by Motorola in the 1980s, Six Sigma seeks to minimize variations and achieve higher levels of quality in processes. It is often applied in manufacturing and process improvement projects. Here is a concise overview of the Six Sigma project management methodology:

• Define (D): Clearly articulate the problem, project goals, scope, and customer requirements.
• Measure (M): Establish metrics, collect data, and measure baseline performance.
• Analyze (A): Use statistical tools to identify root causes of defects or inefficiencies.
• Improve (I): Develop and implement solutions, testing and refining as needed.
• Control (C): Establish measures to sustain improvements and prevent recurrence of defects or issues.

The Six Sigma methodology is often represented by the acronym DMAIC (Define, Measure, Analyze, Improve, Control). Additionally, for more complex or considerable process changes, there is another phase known as DMADV (Define, Measure, Analyze, Design, Verify).

Bakkah provides certification levels such as Six Sigma Green Belt and Six Sigma Black Belt are available for individuals to demonstrate proficiency in applying Six Sigma principles and methodologies. Organizations implementing Six Sigma often experience enhanced efficiency, reduced defects, and improved customer satisfaction.

9. RAD (Rapid Application Development)

Rapid Application Development (RAD) is a project development methodology that prioritizes quick iterations and prototypes over extensive planning.

It involves user participation throughout the process, parallel development of system components, and a flexible, adaptive approach. Prototyping is a key feature, allowing for continuous refinement based on user feedback. RAD aims to deliver a functional product rapidly, focusing on time and cost efficiency.

Popular RAD tools include Microsoft Visual Basic, PowerBuilder, and OutSystems. The methodology suits projects with changing requirements but may not be ideal for highly structured endeavors.

10. Incremental and Iterative Methodologies

Incremental development involves dividing the project into small increments, each delivering a part of the final product's functionality linearly. User feedback is integrated after each increment, providing ongoing adaptability and the ability to identify and correct issues early. This approach enables early delivery and reduced project risk.

On the other hand, iterative development goes through cycles or iterations, refining the entire system with each iteration. It is highly flexible and accommodates changing requirements throughout the development process.

11. Hybrid Methodologies

Hybrid methodologies in project development involve blending elements from different traditional and agile approaches to create a flexible and tailored solution. That allows teams to adapt practices based on the project's unique requirements, leveraging both structured planning and iterative development. 

In a hybrid methodology, the most appropriate elements from each methodology are identified and combined harmoniously. Examples include combining Waterfall and Scrum or integrating lean principles with agile practices.

The goal is to manage risks effectively, enhance flexibility, and address the project-specific needs. Effective communication is crucial to mitigate potential challenges introduced by diverse practices integration.

12. Extreme Programming (XP)

XP is an Agile methodology that emphasizes collaboration, adaptability, and delivering high-quality software through practices such as continuous testing and frequent releases.

Extreme Programming methodology is one of the famous methodologies for managing and developing software and other technical projects. It is based on diverse principles and practices, focusing on increasing software quality and improving team productivity.

A team needs to follow this method if the project is fast-paced or subject to regular change and thus has a dynamic rather than static nature.

The Extreme methodology also aims to achieve productive cooperation between team members and increase the quality of the final product and its flexibility in the face of changes.

Here are the main principles and practices of Extreme Programming:

• XP is built on a set of core values, including communication, simplicity, feedback, and courage.
• Developers work in pairs, one writing code and the other reviewing it in real time. That promotes collaboration, knowledge sharing, and code quality.
• Developers write tests before writing the actual code. That ensures that the code meets specifications and facilitates maintenance and updates.
• Code is integrated frequently to identify and address integration issues early in the development process.
• XP improves code design regularly without changing its functionality.
• XP keeps the design as simple as possible, making it easier to understand, modify, and maintain.
• Frequent and direct interaction with the customer allows for quick adjustments to changing requirements and priorities.
• XP emphasizes continuous improvement through regular reflection on the development process and changes in implementation to enhance efficiency and quality.

Bakkah provides a variety of accredited project management Courses for all professional certificates in project management, risk management, and others.

In brief, choosing the most suitable project management methodology depends on factors such as project size, complexity, industry, and organizational culture. Project managers often customize or combine methodologies to best fit the unique requirements of their projects.

Project management methodologies are often supported and implemented using various tools to enhance efficiency, collaboration, and communication throughout the project lifecycle. Here are some commonly used tools associated with project management methodologies:

1. Project Management Software

Tools like Microsoft Project, Asana, Jira, Trello, and Monday.com provide features for project planning, scheduling, task assignment, and progress tracking.

2. Version Control Systems

Git, SVN (Subversion), and Mercurial help manage changes to source code and documentation, ensuring version control and collaboration in software development projects.

3. Communication and Collaboration Tools

Slack, Microsoft Teams, and Discord facilitate real-time communication, file sharing, and collaboration among team members, supporting Agile and remote work environments.

4. Gantt Charts

Tools like GanttPRO and SmartDraw help create visual representations of project timelines, tasks, and dependencies, commonly used in Waterfall and traditional project management methodologies.

5. Kanban Boards

Trello, KanbanFlow, and LeanKit enable teams to visualize work and optimize workflow, particularly in Agile and Lean methodologies.

6. Scrum Tools

Jira, VersionOne, and Targetprocess support the Scrum framework with features for sprint planning, backlog management, and burndown charts.

7. Resource Management Tools

Workfront, Mavenlink, and TeamGantt assist in resource allocation, workload tracking, and managing team capacity in project management.

8. Risk Management Tools

RiskWatch, RiskyProject, and ProjectManager.com help identify, assess, and manage risks throughout the project lifecycle.

9. Collaborative Document Management

Tools like SharePoint, Google Workspace, and Dropbox Business enable teams to collaborate on documents, share project-related files, and ensure version control.

10. Continuous Integration and Deployment (CI/CD) Tools

Jenkins, Travis CI, and GitLab CI/CD automate integration code changes process and deploying software, commonly used in Agile and DevOps methodologies.

11. Time Tracking and Timesheet Tools

Harvest, Toggl, and Clockify assist in tracking project-related activities, allowing for accurate time management and resource allocation.

12. Customer Relationship Management (CRM) Tools

Salesforce, HubSpot, and Zoho CRM support customer-centric projects. That helps teams manage client interactions, feedback, and requirements.

Project managers and teams should carefully select tools that align with their chosen methodologies and project requirements. Integrating these tools can significantly improve project management efficiency and contribute to successful project outcomes.

Project management methodologies involve various techniques to plan, execute, and control projects effectively. Here are some commonly used techniques associated with project management methodologies:

1. Work Breakdown Structure (WBS)

Break a project into smaller, manageable tasks and create a hierarchical structure to define clearly the scope and deliverables.

2. PERT (Program Evaluation and Review Technique) and CPM (Critical Path Method)

Techniques for scheduling and managing tasks by identifying critical paths and dependencies and estimating project duration.

2. SWOT Analysis

Evaluate the project's Strengths, Weaknesses, Opportunities, and Threats to make informed decisions and develop effective strategies.

3. Risk Management

Identify, assess, mitigate, and monitor risks throughout the project lifecycle to minimize potential negative impacts.

4. Stakeholder Analysis

Identify and analyze stakeholders to understand their interests, influence, and expectations and ensure effective communication and engagement.

5. PERT Charts (Program Evaluation and Review Technique)

Graphical representations of project tasks and their dependencies, helping visualize the project schedule and critical path.

6. Scrum Meetings

Daily Standups, Sprint Planning, Sprint Review, and Sprint Retrospective are regular Scrum meetings that facilitate communication and collaboration in Agile projects.

7. Earned Value Management (EVM)

Analyze project performance by measuring the planned value, earned value, and actual cost to assess progress and forecast future performance.

8. Quality Management

Implement techniques such as quality audits, inspections, and control charts to ensure project deliverables meet predefined quality standards.

9. Mind Mapping

Visualize project ideas, requirements, and tasks using mind maps to stimulate creative thinking and organize information in a structured way.

10. Critical Chain Method

Identify and manage resource dependencies to optimize project schedules and improve overall performance.

11. Prototyping

Creating a working model or prototype of a product or system to gather feedback early in the development process is common in Agile and iterative methodologies.

12. Benchmarking

Compare project performance metrics and processes against industry standards or best practices to identify areas for improvement.

13. Dependency Mapping

Identify and visualize dependencies between different tasks or project activities to understand their interrelationships and potential impacts.

14. Agile Estimation Techniques

Use techniques like Planning Poker, Relative Sizing, and Story Points to estimate the effort required for Agile project tasks.

15. Change Management

Implement strategies and techniques to manage and communicate changes effectively, ensuring minimal disruptions to project progress.

16. Communication Plans

Developing plans outlines how project information will be communicated to stakeholders, ensuring clear and consistent communication.

These techniques are often applied based on the specific requirements, characteristics, and principles of the chosen project management methodology. Project managers may tailor and combine these techniques to suit the needs of their projects.

Choosing a suitable project management methodology is crucial for the success of a project. The decision should be based on the project's characteristics, team dynamics, organizational culture, and the nature of the work to be performed. Here is a step-by-step guide on how to choose a project management methodology:

1. Understand Project Requirements

Clearly define the project scope, objectives, and deliverables. Consider the size, complexity, and nature of the project work.

2. Assess Team Skills and Experience

Evaluate the skills and experience of the project team. Consider their familiarity with different methodologies and their adaptability to new approaches.

3. Consider Project Flexibility

Assess the level of flexibility required throughout the project. Some projects may benefit from a more adaptive and iterative approach, while others may require a more structured and sequential process.

4. Examine Project Constraints

Identify any constraints such as budget limitations, time constraints, regulatory requirements, or client preferences that may influence the choice of methodology.

5. Evaluate Organizational Culture

Consider the existing organizational culture and whether it aligns with the principles of certain project management methodologies. Some organizations may prefer traditional, plan-driven approaches, while others may be more receptive to Agile or iterative methods.

6. Define Stakeholder Involvement

Determine the level of involvement and collaboration required from project stakeholders. Some methodologies, like Agile, emphasize continuous stakeholder engagement and feedback.

7. Analyze Project Risks

Evaluate the potential risks associated with the project. Some methodologies, such as Agile, are well-suited for projects with high uncertainty and evolving requirements.

8. Review Industry Standards

Consider industry standards and best practices. Certain industries or project types may have specific guidelines or regulations that align with particular methodologies.

9. Explore Hybrid Approaches

Assess the possibility of combining elements from different methodologies to create a hybrid approach tailored to the project's specific needs.

10. Pilot or Prototype

If feasible, consider running a pilot or prototype using a small-scale version of the project to test how well a methodology fits the team and project requirements.

11. Consult with Stakeholders

Seek input from key stakeholders, including team members, clients, and sponsors. Understand their preferences, expectations, and concerns regarding project management approaches.

12. Training and Transition Plan

Evaluate the readiness of the team to adopt a new methodology. Plan for necessary training and establish a transition plan to smoothly implement the chosen methodology.

13. Continuous Improvement

Be open to evaluating and adjusting the chosen methodology throughout the project. Continuous improvement is essential to address evolving project needs and improve overall project management processes.

Elevate your project management skills with Bakkah Learning's expert-led courses. From PMP to Prince2, Six Sigma to Agile, we offer tailored programs to suit your career goals. With interactive learning, flexible access, and certification preparation, we're your partner for professional growth. Start your journey to mastery today with Bakkah Learning!

Here are some Project Management Courses :

• Certified Associate in Project Management CAPM Course
• PMI-ACP® certification
• PgMP certification
• PMI Scheduling Professional - PMI-SP certification

Risk Management Courses And Certifications:

• Risk Management Professional - PMI-RMP Course
• MoR Certification and course

PRINCE2 Courses

• PRINCE2 Certification
• PRINCE2 Agile.

Project Management Tools:

• Primavera P6 Course
• MSP Course - Managing Successful Programmes
• Microsoft Project training course  

Portfolio Management

• P3O Foundation certification
• Management of Portfolios MoP
• The Portfolio Management Professional – PfMP certificate
• Lean Six Sigma Yellow Belt Course
• Lean Six Sigma Green Belt Course
• Lean Six Sigma Black Belt Course

Ultimately, the choice of a project management methodology should be a thoughtful and informed decision that aligns with the unique characteristics of the project and the organization. Regularly reassess the chosen methodology to ensure its continued effectiveness and make adjustments as needed.

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Various roles in Project Management

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Different roles in Project Management & Their Responsibilities

Project management is a complex field requiring a diverse set of skills and roles to ensure successful outcomes. Each role plays an important part in guiding projects from conception to completion, managing resources, mitigating risks, and meeting objectives. In this article, we will explore various roles in Project Management along with their responsibilities in a detailed manner.

Table of Content

Project Sponsor

Project manager, senior project manager, project coordinator, project administrator, project analyst, project director, project management consultant, project officer, project executive, project owner, project leader.

Project Sponsor A Project Sponsor is a senior official in the company who supports the project from the start. They play an important role in ensuring alignment with the organization’s strategic goals by securing funding, resources, and support.

Responsibilities:

• Specify Project Goals : The Project Sponsor defines the aims, goals, and objectives of the project, outlining what needs to be achieved.
• Obtain Funding and Resources: They are responsible for acquiring the necessary funds and materials required to carry out the project effectively.
• Promote Project Endorsement: The Project Sponsor advocates for the project within the company, garnering support and enthusiasm from stakeholders.

The Project Manager is responsible for organizing, executing, and closing projects. They oversee schedules, manage resources, and ensure that the project remains within its designated scope, budget, and timeframe.

• Create Project Schedules and Plans: The Project Manager develops comprehensive schedules and plans for projects, outlining tasks, timelines, and dependencies.
• Manage Budgets and Resource Allocation: They are tasked with managing budgets effectively, allocating resources efficiently, and ensuring cost-effective project execution.
• Organize Project Team Communication: The Project Manager coordinates communication and activities within the project team, enabling collaboration and making sure that everyone is aligned with project goals .

A Senior Project Manager provides strategic direction and leadership to project managers while overseeing multiple projects or significant initiatives. They ensure that project portfolios align with organizational goals and effectively manage resources across projects.

• Lead and Provide Direction: Senior Project Managers lead by example and offer guidance and direction to project managers, helping them navigate challenges and make strategic decisions.
• Alignment with Organizational Goals: They ensure that project portfolios are aligned with the overarching goals and objectives of the organization, prioritizing projects that contribute most effectively to the company’s success.
• Control Project Dependencies: Senior Project Managers manage dependencies among projects, coordinating efforts to avoid conflicts and ensure smooth execution across initiatives.

A Project Coordinator plays an important role in supporting project managers by handling administrative tasks and ensuring efficient project workflows. They assist with meeting planning, documentation, resource tracking, and team communication.

• Plan Meetings and Logistics: Project Coordinators plan meetings, manage schedules, and handle logistical details such as venue booking, catering arrangements, and audiovisual setups.
• Manage Project Records: They keep track of project records and documentation, including meeting minutes, progress reports, and other essential documents, ensuring they are organized and accessible.
• Support Resource Tracking: Project Coordinators assist in tracking resources such as personnel, equipment, and materials, ensuring they are allocated effectively to support project activities.

A Project Administrator plays a vital role in supporting project teams and ensuring smooth project operations by managing administrative tasks. They handle documentation, travel arrangements, schedule tracking, and budget management.

• Organize Files and Documentation: Project Administrators are responsible for organizing and maintaining files and documentation related to projects, ensuring easy access and retrieval when needed.
• Coordinate Lodging and Transportation: They organize lodging and transportation arrangements for project teams, including booking accommodations, coordinating travel schedules, and managing travel expenses.
• Track Project Schedules and Calendars: Project Administrators maintain project schedules and calendars, scheduling meetings, tracking deadlines, and ensuring that project activities are on track.

A Project Analyst plays a critical role in project management by collecting and analyzing data to enhance decision-making and optimize project performance. They provide insights, create reports, and evaluate risks to improve project outcomes.

• Gather and Evaluate Metrics/Data: Project Analysts collect and assess metrics and data relevant to the project, including performance indicators, progress reports, and other quantitative and qualitative data sources.
• Create Dashboards and Reports: They use data visualization tools to create dashboards and reports that summarize project metrics, trends, and key performance indicators (KPIs) for stakeholders and decision-makers.
• Conduct Sensitivity Analyses and Risk Assessments: Project Analysts perform sensitivity analyses to assess the impact of various factors on project outcomes and conduct risk assessments to identify potential risks and develop mitigation strategies.

A Project Director is responsible for providing strategic oversight and leadership to ensure that project portfolios align with organizational objectives. They create procedures, guide strategic direction, manage budgets, monitor project performance, and communicate with stakeholders.

• Create Procedures and Policies: Project Directors establish procedures and policies for project management, ensuring consistency, efficiency, and adherence to best practices throughout the project lifecycle.
• Strategic Direction for Project Portfolios: They provide strategic direction to project portfolios, aligning projects with the overall goals and objectives of the organization to maximize impact and value.
• Manage Budgets and Resource Allocation: Project Directors oversee budget management and resource allocation, making strategic decisions to optimize resource utilization and ensure project success within budgetary constraints.

A Project Management Consultan t offers expertise and guidance to companies seeking to improve their project management practices. They assess current methods, provide tailored recommendations, offer coaching and training, promote the use of project management tools, and analyze project performance.

• Evaluate Project Management Methods: Consultants evaluate the existing methods and procedures used in project management within an organization, identifying strengths, weaknesses, and areas for improvement.
• Provide Recommendations and Solutions: Based on their evaluation, consultants offer customized recommendations and solutions that address specific challenges and opportunities faced by the client, aiming to enhance project performance and efficiency.
• Coach and Train Project Teams: They provide coaching and training to project teams, helping them implement recommended practices, utilize project management techniques effectively, and adopt relevant tools and technologies.

A Project Officer provides important support to project managers in the day-to-day operations and execution of projects. They handle administrative tasks, assist in planning and implementation, and ensure effective communication and documentation.

• Help in Creating Schedules and Plans: Project Officers assist in creating schedules, timelines, and plans for projects, working closely with project managers to ensure alignment with project goals and objectives.
• Organize Communications and Meetings: They organize communication channels, facilitate meetings, and coordinate communication between project team members, stakeholders, and external parties as needed.
• Keep Track of Project Records: Project Officers maintain project records and documentation, including meeting minutes, progress reports, contracts, and other relevant documents, ensuring accuracy and accessibility.

A Project Executive provides strategic direction and executive-level oversight for important projects or project portfolios. They set goals, allocate resources, track performance, mitigate risks, and update senior leadership on project progress.

• Establish Goals and Success Standards: Project Executives define clear goals, objectives, and success standards for the project, aligning them with the organization’s strategic objectives and priorities.
• Distribute Resources and Obtain Capital: They allocate resources such as funds, manpower, and equipment, ensuring that the project has the necessary resources to succeed. Project Executives also secure capital and funding for the project as needed.
• Track Project Performance: Project Executives monitor and track project performance, comparing it against strategic objectives and success criteria, identifying areas of improvement, and ensuring alignment with organizational goals.

A Project Owner is responsible for initiating and overseeing projects, ensuring they align with company priorities and goals. They establish project scope, secure resources and funding, provide strategic direction, monitor project development, and ensure the realization of project benefits.

• Specify Project Goals and Scope: Project Owners define clear goals, deliverables, and the scope of the project, outlining what needs to be achieved and the boundaries within which the project operates.
• Obtain Resources and Funding: They secure necessary resources, including funding, manpower, and materials, to support project execution and ensure its successful completion.
• Provide Strategic Instructions: Project Owners give strategic instructions and direction, guiding the project team and stakeholders toward achieving project objectives in alignment with organizational priorities.

A Project Leader plays a vital role in providing direction, motivation, and guidance to project teams, ensuring they work collaboratively toward achieving project objectives. They set clear goals, inspire team members, enable a positive team culture, facilitate communication, and monitor performance.

• Set Clear Project Objectives: Project Leaders establish clear project objectives and priorities, ensuring that team members understand their roles and responsibilities in achieving project goals.
• Motivate and Inspire Team Members: They motivate and inspire team members to perform at their best, encouraging innovation, creativity, and a sense of ownership in project deliverables.
• Enabling Collaborative Team Culture: Project Leaders enable a collaborative and inclusive team culture, promoting teamwork, mutual respect, open communication, and knowledge sharing among team members.

Conclusion:

In conclusion, project management consists of a diverse range of roles, each contributing uniquely to the success of projects. From strategic direction to day-to-day operations, these roles collaborate to ensure alignment with organizational goals, efficient resource utilization, effective communication, risk mitigation, and ultimately, the realization of project objectives and benefits.

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Importance of Parameter Uncertainty in the Modeling of Geological Variables

• Original Paper
• Published: 28 May 2024

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• Oktay Erten   ORCID: orcid.org/0000-0002-1718-3400 1 &
• Clayton V. Deutsch 1  

Quantitative modeling of geological heterogeneity is critical for resource management and decision-making. However, in the early stages of a mining project, the only data available for modeling the spatial variability of the variables are from a limited number of exploration drill holes. This means that the empirical cumulative distribution function of the data, which is one of the key inputs for the geostatistical simulation, is uncertain, and ignoring this uncertainty may lead to biased resource risk assessments. The parameter uncertainty can be quantified by the multivariate spatial bootstrap procedure and propagated through geostatistical simulation workflows. This methodology is demonstrated in a case study using the data from the former lead and zinc mine at Lisheen, Ireland. The joint modeling of the lead and zinc grades is carried out by using (1) all of the available data, (2) a representative subset (approximately 10% of the available data) without parameter uncertainty, and (3) the same subset with parameter uncertainty. In all cases, the turning bands simulation approach generates realizations of lead and zinc grades. In the third case, the uncertainty in the lead and zinc grade distributions is first quantified (i.e., prior uncertainty) by the correlated bootstrap realizations. This joint prior uncertainty is then updated in simulation by the conditioning data and domain limits, which results in posterior uncertainty. The results indicate that a more realistic resource risk assessment can be achieved when parameter uncertainty is considered.

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Acknowledgments

We want to thank the industrial sponsors of the Center for Computational Geostatistics (CCG) for providing the resources to prepare this paper. We would also like to thank the Irish Center for Research in Applied Geosciences (iCRAG) for granting access to the Lisheen data. Finally, we thank Resource Modeling Solutions for providing a license to use the Resource Modeling Solutions Platform (RMSP) Python package.

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Erten, O., Deutsch, C.V. Importance of Parameter Uncertainty in the Modeling of Geological Variables. Nat Resour Res (2024). https://doi.org/10.1007/s11053-024-10363-z

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