Nancy L. Leech, Karen C. Barrett, George A. Morgan

IBM SPSS for Intermediate Statistics (eBook, ePUB)

Use and Interpretation, Fifth Edition

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 382
• Erscheinungstermin: 5. August 2014
• Englisch
• ISBN-13: 9781136334931
• Artikelnr.: 43075291

Autorenporträt

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

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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

Rezensionen

"This text can be summed up in one exceedingly important word ... practicality. Amidst a world of statistical complexity, the authors practically weave the use of SPSS, key considerations, interpretation, and writing up findings into one applied, very useful basket." - Robin K. Henson, University of North Texas, USA

"An excellent book that details the application of statistical procedures from exploratory data analysis and univariate techniques through to multivariate methods and multilevel modeling, this is an indispensable supplement to any advanced statistics or methods course."- Daniel J. Denis, University of Montana, USA



"This book is essential for students and researchers all over the world because it helps users learn about complex statistics and how to compute them. It is easy to understand even for non-native English speakers." - Krisztian Jozsa, University of Szeged, Hungary, EU



"I've been using this text to teach intermediate-level quantitative statistics to undergraduate psychology students for several years. I appreciate the thorough coverage of the SPSS output and the guidance that the authors provide with respect to the interpretation of that output." - Catherine I. Phillips, University of Calgary, Canada