You are here

Expedited access to textbooks and digital content

Instructors: Due to the COVID-19 pandemic and in support of your transition to online learning, requests for complimentary review copies of our textbooks will be fulfilled through our eBooks partner, VitalSource. By providing you with a digital review copy of the requested textbook(s), we can ensure you have expedited access to our content. If you require special assistance, please contact us at (800) 818-7243 ext. 6140 or at textsales@sagepub.com.

Statistics for Social Sciences
Share

Statistics for Social Sciences

First Edition
  • T. Rajaretnam - Program Management Specialist (Professor), Tata Institute of Social Sciences (TISS), Mumbai.


March 2016 | 308 pages | SAGE Publications Pvt. Ltd

A comprehensive guide to the practical applications of statistics in social sciences 

This book brings out the relevance of statistical tools and methods in social sciences. Describing the various statistical techniques, it highlights their purpose and application along with a brief overview on how to interpret results and draw inferences.

Topical and up-to-date, it examines:

• different types of statistical variables and their treatment
• tabulation and graphical presentation of data 
• theoretical distributions and common parametric and non-parametric tests, including analysis of variance and correlation ratio
• linear regression including checking for violation of assumptions, transformations of variables and predictions
• inequality measures such as Lorenz curve, Gini coefficient, dissimilarity index and human development index among others.

It will be indispensable for students and scholars of statistics, econometrics, psychology and those interested in the application of statistics in social sciences.

 


 
Preface
 
Introduction to Statistics
 
Sampling Methods
 
Tabular Analysis of Data
 
Graphical Presentation of Data
 
Measures of Central Tendency and Dispersion
 
Theoretical Distributions
 
Testing of Hypothesis
 
Measures of Correlation
 
Analysis of Variance and Correlation Ratio
 
Non-Parametric Tests
 
Regression Analysis
 
Logistic Regression Analysis
 
Multiple Classification Analysis
 
Factor Analysis
 
Inequality Measures
 
Appendices
 
Bibliography
 
Index

Preview this book

Select a Purchasing Option