Quantitative Methods for the Social Sciences
A Practical Introduction with Examples in R
- © 2023
- Latest edition
- Daniel Stockemer ORCID: https://orcid.org/0000-0003-3502-6828 0 ,
- Jean-Nicolas Bordeleau 1
School of Political Studies, University of Ottawa, Ottawa, Canada
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- 2nd revised and extended edition
- Offers an essential introduction to survey research and quantitative methods
- Shows how to conduct empirical tests in R
Part of the book series: Springer Texts in Political Science and International Relations (STPSIR)
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About this book
This textbook offers an essential introduction to survey research and quantitative methods with clear instructions on how to conduct statistical tests with R. Building on the premise that we need to teach statistical methods in a holistic and practical format, the book guides students through the four main elements of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. In detail, students will learn how to create their own questionnaire on the basis of formulating hypotheses; sampling participants; disseminating their questionnaire; creating datasets; and analyzing their data. The data analytical sections of this revised and extended edition explain the theory, rationale and mathematical foundations of relevant bivariate and multi-variate statistical tests. These include the T-test, F-test, Chi-square test and correlation analyses, as well as bivariate and multivariate regression analyses. In addition, the book offers a brief introduction to statistical computing with R, which includes clear instructions on how to conduct these statistical tests in R. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research and quantitative methods classes in the social sciences.
- Quantitative Methods in Social Sciences
- Statistics in Social Sciences
- Practical Approach to Survey Research
- Introductory Statistics
- Statistical tests in R
- Statistical Research Methods
- Multivariate statistical tests
- Multivariate regression analyses
- Survey Methodology for the Social Sciences
- Univariate statistics
- Survey research
Table of contents (9 chapters)
Front matter, introduction.
Daniel Stockemer, Jean-Nicolas Bordeleau
The Nuts and Bolts of Empirical Social Science
A short introduction to survey research, constructing a survey, conducting a survey, introducing r and univariate statistics, bivariate statistics with categorical variables, bivariate statistics with two continuous variables, multivariate regression analysis, back matter, authors and affiliations, about the authors.
Daniel Stockemer is Konrad Adenauer Research Chair in Empirical Democracy Studies and Full Professor in the School of Political Studies at the University of Ottawa, Canada. His main research interests are political participation, political representation, populism, as well as quantitative and qualitative research methods. In his career, Dr. Stockemer has published 4 single or co-authored books, 2 edited volumes, 1 textbook and more than 140 articles in peer reviewed journals. Daniel has several editorial commitments. He is editor of the International Political Science Review (IPSR) and the Springer Book Series in Electoral Politics.
Bibliographic Information
Book Title : Quantitative Methods for the Social Sciences
Book Subtitle : A Practical Introduction with Examples in R
Authors : Daniel Stockemer, Jean-Nicolas Bordeleau
Series Title : Springer Texts in Political Science and International Relations
DOI : https://doi.org/10.1007/978-3-031-34583-8
Publisher : Springer Cham
eBook Packages : Political Science and International Studies , Political Science and International Studies (R0)
Copyright Information : The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN : 978-3-031-34582-1 Published: 13 September 2023
eBook ISBN : 978-3-031-34583-8 Published: 12 September 2023
Series ISSN : 2730-955X
Series E-ISSN : 2730-9568
Edition Number : 2
Number of Pages : XVI, 141
Number of Illustrations : 11 b/w illustrations, 22 illustrations in colour
Topics : Political Science , Social Sciences, general , Statistics for Social Sciences, Humanities, Law , Statistics and Computing/Statistics Programs
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