This book reviews how to choose the statistic based on the design, interpret output, and write about the results to help readers analyze data using SPSS 22. Readers learn to: assess data reliability; determine whether data meet the assumptions of statistical tests; and calculate and interpret effect sizes and power. Basic statistics is reviewed along with chapters on MLM, MANOVA, and factor analysis. The key SPSS windows needed to perform the analyses are provided along with annotated output, interpretation questions, and problems for review. Data sets, SPSS syntax, and instructors' materials…mehr
This book reviews how to choose the statistic based on the design, interpret output, and write about the results to help readers analyze data using SPSS 22. Readers learn to: assess data reliability; determine whether data meet the assumptions of statistical tests; and calculate and interpret effect sizes and power. Basic statistics is reviewed along with chapters on MLM, MANOVA, and factor analysis. The key SPSS windows needed to perform the analyses are provided along with annotated output, interpretation questions, and problems for review. Data sets, SPSS syntax, and instructors' materials are on the web. This text is ideal for students and researchers in a variety of disciplines.
Nancy L. Leech is Professor in the School of Education and Human Development at the University of Colorado Denver. Karen C. Barrett is Professor of Human Development and Family Studies at Colorado State University. George A. Morgan is an Emeritus Professor of Education and Human Development at Colorado State University.
Inhaltsangabe
1. Introduction 2. Data Coding and Exploratory Analysis (EDA) 3. Imputation of Missing Data 4. Several Measures of Reliability 5. Exploratory Factor Analysis and Principal Components Analysis 6. Selecting and Interpreting Inferential Statistics 7. Multiple Regression 8. Mediation, Moderation, and Canonical Correlation 9. Logistic Regression and Discriminant Analysis 10. Factorial ANOVA and ANCOVA 11. Repeated-Measures and Mixed ANOVAs 12. Multivariate Analysis of Variance (MANOVA) 13. Multilevel Linear Modeling/Hierarchical Linear Modeling Appendix A. Getting Started With SPSS and Other Useful Procedures D. Quick, M. Myers Appendix B. Review of Basic Statistics J.M. Cumming, A. Weinberg Appendix C. Answers to Odd Interpretation Questions
1. Introduction 2. Data Coding and Exploratory Analysis (EDA) 3. Imputation of Missing Data 4. Several Measures of Reliability 5. Exploratory Factor Analysis and Principal Components Analysis 6. Selecting and Interpreting Inferential Statistics 7. Multiple Regression 8. Mediation, Moderation, and Canonical Correlation 9. Logistic Regression and Discriminant Analysis 10. Factorial ANOVA and ANCOVA 11. Repeated-Measures and Mixed ANOVAs 12. Multivariate Analysis of Variance (MANOVA) 13. Multilevel Linear Modeling/Hierarchical Linear Modeling Appendix A. Getting Started With SPSS and Other Useful Procedures D. Quick, M. Myers Appendix B. Review of Basic Statistics J.M. Cumming, A. Weinberg Appendix C. Answers to Odd Interpretation Questions
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