Fundamental Statistics for Social Research

Step-by-Step Calculations and Computer Techniques Using SPSS for Windows

AvDuncan Cramer

Häftad, Engelska, 1997

727 kr

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Beskrivning

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 answersFundamental 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.

Produktinformation

Utgivningsdatum:1997-12-11
Mått:156 x 234 x 27 mm
Vikt:880 g
Format:Häftad
Språk:Engelska
Antal sidor:478
Förlag:Taylor & Francis Ltd
ISBN:9780415172042

Utforska kategorier

Sociologi inom Samhälle och politik

Mer om författaren

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

Innehållsförteckning

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.