IBM SPSS for Introductory Statistics

Karen C. Barrett is Professor Emerita of Human Development and Family Studies at Colorado State University, where she taught 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 PhD 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 emotion regulation and social emotions.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 PhD 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 Emeritus. He has served as IRB Chair, School of Education Director, and Semester at Sea Dean. He received the Jack E Cermak University Advising Award in 2024. He earned his PhD and BS from The Ohio State University and MS 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 75 doctoral graduates. George A. Morgan is Emeritus Professor of Education and Human Development at Colorado State University. He received his PhD in child development and psychology from Cornell University. In addition to writing textbooks, he has advised many PhD students in education and related fields. He has conducted a program of research on children’s motivation to master challenging tasks.

• 1. Variables, Research Problems, and Questions 2. Getting Data Ready for Analysis and understanding it: Data Collection, Coding, and Description 3. Selecting and Interpreting Inferential Statistics 4. Methods to Provide Evidence for Reliability and Validity 5. Cross-Tabulation, Chi-Square, and Nonparametric Measures of Association 6. Correlation and Regression 7. Comparing Groups with t Tests, Analysis of Variance (ANOVA), and Similar 8. Appendices A. Getting Started and Other Useful SPSS Procedures B. Writing Research Problems and Questions C. Answers to Odd Numbered Interpretation Questions D. Glossary