Basic statistics for social research : step-by-step calculations and computer techniques using Minitab / Duncan Cramer.

Includes bibliographical references (pages [392]--393) and index.

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.

Both students and professionals are increasingly reliant on computers for the analysis of data. This accessible introduction to statistics using the program Minitab assumes no prior knowledge of statistics or computing, and has details of the different versions and options available. It also explains when to apply and how to calculate and interpret a wide range of statistical procedures commonly used in the social sciences.

Ranging from chi-square and the t test to analysis of covariance and multiple regression, Duncan Cramer covers a wide choice of statistics, including tests not found in other introductory texts, such as tests for determining whether correlations differ and the extent of agreement between observers. Important statistical points are illustrated with worked numerical examples, and exercises are provided at the end of chapters.

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.