Basic Statistics for Social Research

Step-by-Step Calculations & Computer Techniques Using Minitab

Häftad, Engelska, 1996

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This accessible introdution to statistics using the program Minitab 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 Minitab* Describes a wider range of tests than other introductory texts* Contains a comprehensive range of exercises with answers.Basic Statistics for Social Research 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

Utgivningsdatum1996-12-19
Mått156 x 234 x undefined mm
Vikt780 g
FormatHäftad
SpråkEngelska
Antal sidor420
FörlagTaylor & Francis Ltd
ISBN9780415120050

Tillhör följande kategorier

Sociologi inom Samhälle och politik
Databaser inom Data och IT

Duncan Cramer is Senior Lecturer in Social Psychology at Loughborough University. He is the author of Quantitative Data Analysis with Minitab: A guide for social scientists (1996), with Alan Bryman; Introducing Statistics for Social Research: Step-by-step calculations and computer techniques using SPSS (1994); and Quantitative Data Analysis for Social Scientists (SPSS version) (1990, revised 1994), with Alan Bryman.

Preface 1 Role of statistics in social research 2 Measurement and univariate analysis 3 Introducing Minitab 4 Statistical significance and choice of test 5 Tests of difference for categorical data 6 Tests of difference for ordinal data 7 Tests of difference for interval/ratio data in unrelated samples 8 Tests of difference for interval/ratio data in related and mixed samples 9 Tests of association for categorical and ordinal data 10 Tests of association for interval/ratio data 11 Bivariate and multiple regression 12 Measurement reliability and agreement.

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