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Using SPSS: An Interactive Hands-On Approach is intended as a self-instructional book in which the reader, be it teacher, student or anyone, can learn to use SPSS on their own, and at their own pace, without the assistance of an instructor. As such, it would make a solid companion text for most statistics or research methods courses. The book uses statistics to teach SPSS, not SPSS to teach statistics. Each chapter includes an introduction and list of performance objectives indicating what the reader will be able to do after reading the chapter. SPSS Version 18 for Windows was used in the preparation of this book.The book is unique in that it encourages the reader to interact with SPSS on the computer as he/she works through examples in each chapter. This approach to learning may be novel to the reader, but the authors feel the best way to learn a subject is to interact with it in a meaningful manner. We have made every effort to ensure the book is 'user friendly' as we guide the reader through the interactive learning process. Bulleted phrases provide a step-by-step procedure to be followed by the reader when completing the exercises.
List of contents
Chapter 1. First Encounters
Chapter 2. Navigating in SPSS
Chapter 3. Getting Data in and out of SPSS
Chapter 4. Levels of Measurement
Chapter 5. Entering Variables and Data and Validating Data
Chapter 6. Working with Data and Variables
Chapter 7. Using the SPSS Help Menu
Chapter 8. Creating Basic Graphs and Charts
Chapter 9. Editing and Embellishing Graphs and Charts
Chapter 10. Printing Data Files and Output Files
Chapter 11. Basic Descriptive Statistics
Chapter 12. One-Sample t-Test and Nonparametric Binomial Test of Equality
Chapter 13. Independent Samples t-Test and Nonparametric Mann-Whitney Test
Chapter 14. Paired Samples t-test and Nonparametric Wilcoxon Test
Chapter 15. One-Way ANOVA and Nonparametric Kruskal-Wallis Test
Chapter 16. Two-Way (Factorial) ANOVA
Chapter 17. ANOVA Repeated Measures and Nonparametric Friedman Test
Chapter 18. Analysis of Covariance (ANCOVA)
Chapter 19. Pearson Correlation and Nonparametric Spearman Correlation
Chapter 20. Single Linear Regression
Chapter 21. Multiple Linear Regression
Chapter 22. Chi-Square Goodness of Fit
Chapter 23. Chi-Square Test of Independence
About the author
James Cunningham (Ph.D. Science Education, Syracuse University) is Professor Emeritus of Science and Computer Education and former Chair of the Department of Secondary Education at California State University, Northridge. Formerly Chair of the Departments of Science and Mathematics in Washington State high schools, he is author of Teaching Metrics Simplified and co-author of BASIC for Teachers, Authoring Educational Software, Hands-On Physics Activities With Real-Life Applications, and Hands-On Chemistry Activities With Real-Life Applications. Dr. Cunningham used SPSS extensively during his tenure as Director of the Credential Evaluation Unit in the College of Education. He is currently a Fellow in the Center for Teaching and Learning at CSUN.