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Statistics for Psychology Using R
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Statistics for Psychology Using R

First Edition
  • Vivek M. Belhekar - Faculty member, Department of Applied Psychology, University of Mumbai
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October 2016 | 432 pages | SAGE Publications Pvt. Ltd

A unique textbook introducing and demonstrating the use of R in psychology.

Statistics for Psychology Using R
 comprehensively covers standard statistical methods along with advanced topics such as multivariate techniques, factor analysis, and multiple regression widely used in the field of psychology and other social sciences. Its innovative structure and pedagogical approach coupled with numerous worked-out examples and self-assessment tests make it a user-friendly and easy-to-understand companion for students and scholars with limited background in statistics.

The standout feature of this textbook is that it demonstrates the application of R—a free, flexible, and dynamically changing software for statistical computing and data analysis, which is becoming increasingly popular across social and behavioral sciences.

 


 
Preface
 
Acknowledgments
 
Probability: Basic Concepts and Random Variables
 
Statistical Inference
 
Description of Data: Statistics and Graphical Description
 
Normal Distribution: Theory, Application, and Testing
 
Correlation and Association
 
Regression Analysis
 
Comparing Means: t-Test
 
Analysis of Variance
 
Non-parametric Methods
 
Factor Analysis and Structural Equation Modeling
 
Basic Psychometrics
 
Appendix A: Introduction to R
 
Appendix B: Basic Mathematics for Psychologists
 
Appendix C: Statistical Tables
 
References
 
Index

Supplements

Key features

A unique textbook introducing and demonstrating the use of R in psychology.

Statistics for Psychology Using R
 comprehensively covers standard statistical methods along with advanced topics such as multivariate techniques, factor analysis, and multiple regression widely used in the field of psychology and other social sciences. Its innovative structure and pedagogical approach coupled with numerous worked-out examples and self-assessment tests make it a user-friendly and easy-to-understand companion for students and scholars with limited background in statistics.

The standout feature of this textbook is that it demonstrates the application of R—a free, flexible, and dynamically changing software for statistical computing and data analysis, which is becoming increasingly popular across social and behavioral sciences.

 

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ISBN: 9789385985003
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