SPSS 15 made simple
著者
書誌事項
SPSS 15 made simple
Psychology Press, 2007
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
SPSS 15 Made Simple is the latest edition of one of the most widely read textbooks in its field. As usual, every effort has been made to maintain the friendly, practical and informal style of earlier editions, while at the same time, the content has been updated to meet the changing needs of the readers. As always, each technique is presented in a realistic research context and is illustrated with screen snapshots of SPSS dialog boxes and output. There is also guidance on the choice of statistical techniques and advice on how to report the results of statistical tests. In recent years, coverage has been expanded to include informal introductions to such topics as logistic regression, analysis of covariance, partial correlation, multivariate analysis of variance and Cohen's kappa. In this edition, the treatment of analysis of variance has been expanded to include coding systems for contrasts (such as dummy coding) and trend analysis. In the chapter on regression, dummy coding is used to demonstrate the equivalence of ANOVA and regression techniques.
There is now advice on the analysis of multiple response data. There is also extensive consideration of the significant improvements offered by the new graphics and data-handling facilities in SPSS 15. While being updated and expanded to cover these new features, the book will continue to be useful to readers with earlier versions of SPSS.
目次
Preface. Introduction. Getting Started with SPSS 15. Editing and Manipulating Files. Exploring Your Data. Graphs and Charts. Comparing Averages: One-sample and Two-sample Tests. Introduction to ANOVA. The One-factor between Subjects Experiment. Between Subjects Factorial Experiments. Within Subjects Experiments. Mixed Factorial Experiments. Measuring Statistical Association. Regression. Multiway Frequency Analysis. The Analysis of Multiple-response Data. Discriminant Analysis and Logistic Regression. Latent Variables: Exploratory Factor Analysis and Canonical Correlation. Revision Exercises. Glossary.
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