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.
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viii | |
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x | |
| Preface |
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xvii | |
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Role of statistics in social research |
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1 | (14) |
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Measurement and univariate analysis |
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15 | (21) |
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36 | (31) |
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Statistical significance and choice of test |
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67 | (45) |
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Tests of difference for categorical data |
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112 | (36) |
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Tests of difference for ordinal data |
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148 | (26) |
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Tests of difference for interval/ratio data in unrelated samples |
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174 | (39) |
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Tests of difference for interval/ratio data in related and mixed samples |
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213 | (37) |
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Tests of association for categorical and ordinal data |
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250 | (27) |
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Tests of association for interval/ratio data |
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277 | (24) |
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Bivariate and multiple regression |
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301 | (32) |
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Measurement reliability and agreement |
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333 | (16) |
| Appendices |
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349 | (36) |
| Answers to exercises |
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385 | (7) |
| Bibliography |
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392 | (2) |
| Index |
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394 | |
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.
