IBM SPSS for Introductory Statistics

George A. Morgan is Emeritus Professor of Education and Human Development at Colorado State University. He received his Ph.D. in child development and psychology from Cornell University. In addition to writing textbooks, he has advised many Ph.D. students in education and related fields. He has conducted a program of research on children’s motivation to master challenging tasks. Karen C. Barrett is Professor of Human Development and Family Studies at Colorado State University, where she teaches research methods and statistics classes as well as classes in her research area. She is also Professor of Community & Behavioral Health at Colorado School of Public Health. She received her Ph.D. in developmental psychology from the University of Denver. Her research takes a functional approach to studying emotional and motivational processes and their influence on development; family and cultural influences on emotion regulation; and the development of social emotions such as guilt and shame. Nancy L. Leech is Professor of Research and Evaluation Methods at the University of Colorado, Denver. She teaches graduate level courses in research, statistics, and measurement. She received her Ph.D. in education with an emphasis on research and statistics from Colorado State University in 2002. Her area of research is promoting new developments and better understandings in applied, quantitative, qualitative, and mixed methods research. Gene W. Gloeckner is Professor, former IRB Chair, former School of Education Director, and one voyage Semester at Sea Dean. He received his Ph.D. and B.S. from The Ohio State University and M.S. from Colorado State University. Much of his writing and teaching has focused on issues in quantitative and mixed research methods. He has served as the academic advisor for over 60 doctoral graduates.

Preface

Chapter 1 - Variables, Research Problems, and Questions

Chapter 2 - Data Coding, Entry, and Transformation

Chapter 3 - Measurement and Descriptive Statistics

Chapter 4 - Understanding Your Data and Checking Assumptions

Chapter 5 - Selecting and Interpreting Inferential Statistics

Chapter 6 – Methods to Provide Evidence for Reliability and Validity

Chapter 7 - Cross-Tabulation, Chi-Square, and Nonparametric Measures of Association

Chapter 8 - Correlation and Regression

Chapter 9 - Comparing Groups with t Tests, Analysis of Variance (ANOVA), and Similar Nonparametric Tests

Appendices

For Further Reading

Index