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SPSS for Intermediate Statistics
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Table of Contents

1. Introduction and Review of Basic Statistics With SPSS. 2. Data Coding and Exploratory Analysis (EDA). 3. Several Measures of Reliability. 4. Exploratory Factor Analysis and Principal Components Analysis. 5. Selecting and Interpreting Inferential Statistics. 6. Multiple Regression. 7. Logistic Regression and Discriminant Analysis. 8. Factorial ANOVA and ANCOVA. 9. Repeated Measures and Mixed ANOVAs. 10. Multivariate Analysis of Variance (MANOVA) and Canonical Correlation. 11. Multilevel Linear Modeling/Hierarchical Linear Modeling.

About the Author

Nancy Leech, Assistant Professor of Education at the University of Colorado at Denver and Health Sciences Center, received her Ph.D. in education with an emphasis on research and statistics from Colorado State University in 2002.

Karen Barrett, Professor of Human Development and Family Studies at Colorado State University, received her Ph.D. in psychology from the University of Denver in 1984.

George Morgan, Professor Emeritus of Education and Human Development at Colorado State University, received his Ph.D. in child development from Cornell University in 1965.

Reviews

"This book is an ideal supplement for advanced courses in intermediate statistics or research methods found in departments of psychology, education, and other social and health sciences. Many of my Master's students...are a bit nervous about actually collecting and analyzing the data. This text has helped them to keep the stats within view of their research question." - Steven Knotek, Bucknell University "Many instructors of intermediate and advanced statistics courses will adopt it. ...It is written in a 'user-friendly' way, and the step-by-step examples are wonderful." -Laura Goodwin, University of Colorado at Denver and Health Sciences Center

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