Quantitative Methods for the Social Sciences A Practical Introduction with Examples in R

Synopsis

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.

Book details

Edition:

2nd ed. 2023

Series:

Springer Texts in Political Science and International Relations

Author:

Daniel Stockemer, Jean-Nicolas Bordeleau

ISBN:

9783031345838

Related ISBNs:

9783031345821

Publisher:

Springer International Publishing

Pages:

N/A

Reading age:

Not specified

Includes images:

Yes

Date of addition:

2023-10-13

Usage restrictions:

Copyright

Copyright date:

2023

Copyright by:

The Editor 

Adult content:

No

Language:

English

Categories:

Computers and Internet, Mathematics and Statistics, Nonfiction, Politics and Government, Social Studies, Sociology