SPSS for Intermediate Statistics

Use and Interpretation

SPSS for Intermediate Statistics: Use and Interpretation

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About the Book

This book helps students learn to analyze and interpret research data using SPSS by demonstrating how to compute a variety of statistics covered in intermediate statistics courses. This edition features SPSS 15.0, but it can also be used with with SPSS 16, as well as with earlier versions. Each chapter introduces several related statistics and provides instructions on how to run them and interpret the outputs. Each statistic is described in a user-friendly manner. The book reviews research designs and how to assess the assumptions, accuracy, and reliability of data. The authors demonstrate how to: choose an appropriate statistic based on the research design and level of measurement; use SPSS to help answer research questions; and interpret and write about SPSS outputs. The examples use real data that are contained on the book's CD.

The new edition features:

SPSS for Intermediate Statistics, 3rd Edition provides:

This inexpensive paperback is intended as a supplemental text for advanced undergraduate or graduate courses on intermediate/advanced statistics and/or research methods taught in departments of psychology, education, human development, and other applied and health sciences, and/or for researchers in these areas looking to have a handy reference for SPSS.

Instructor's Resource materials are free upon adoption. View www.researchmethodsarena.com.>

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

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(s)

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.

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