Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in R (2nd ed. 2023) (Springer Texts in Political Science and International Relations)

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.

Copyright:

2023

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9783031345838

Related ISBNs:

9783031345821

Publisher:

Springer International Publishing

Date of Addition:

10/14/23

Copyrighted By:

The Editor

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

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

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.