Cover image for Fundamental statistics for social research : step-by-step calculations and computer techniques using SPSS for Windows
Title:
Fundamental statistics for social research : step-by-step calculations and computer techniques using SPSS for Windows
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Publication Information:
London : Routledge, 1998
ISBN:
9780415172035

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30000003590373 HA32 C72 1998 Open Access Book Book
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Summary

Summary

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.


Author Notes

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