Fundamental Statistics for Social Research: Step-by-Step Calculations and Computer Techniques Using SPSS for Windows

by Duncan Cramer

Overview

This accessible introduction to statistics using the program SPSS for Windows explains when to apply and how to calculate and interpret a wide range of statistical procedures commonly used in the social sciences. Keeping statistical symbols and formulae to a minimum and using simple examples, this book:
* assumes no prior knowledge of statistics or computing
* includes a concise introduction to the program SPSS for Windows
* describes a wider range of tests than other introductory texts
* contains a comprehensive range of exercises with answers

Fundamental Statistics for Social Research covers SPSS Release 6 for Windows 3.1 and Release 7 for Windows 95. It will prove an invaluable introductory statistics text for students, and a useful resource for graduates and professionals engaged in research in the social sciences.

Product Details

ISBN-13:	9781134693245
Publisher:	Taylor & Francis
Publication date:	09/02/2003
Sold by:	Barnes & Noble
Format:	eBook
Pages:	478
File size:	30 MB
Note:	This product may take a few minutes to download.

About the Author

Duncan Cramer is Reader in Psychological Health at Loughborough University and the author of several books on statistical analysis with both SPSS and Minitab, some with Alan Bryman

Table of Contents

Preface. Role of statistics in social psychology. Measurement and univariate analysis. Introducing SPSS for Windows. Statistical significance and choice of test. Tests of difference for interval/ratio data on unrelated samples for one factor. Tests of association for interval/ratio data. Bivariate and multiple regression. Tests of difference for interval/ratio data on related samples for one factor. Tests of difference for interval/ratio data on unrelated samples for two factors. Tests of difference for interval/ratio data on related samples for two factors. Tests of difference for categorical data. Tests of difference for ordinal data. Tests of association for categorical and ordinal data. Measurement reliability and agreement. Appendices. Answers to exercises. Bibliography. Index.