This textbook explains ANOVA designs for advanced undergraduates and graduate students in the behavioural sciences.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Glenn Gamst is Professor and Chair of the Psychology Department at the University of La Verne, where he teaches the doctoral advanced statistics sequence. He received his PhD from the University of Arkansas in experimental psychology. His research interests include the effects of multicultural variables such as client-therapist ethnic match, client acculturation status and ethnic identity, and therapist cultural competence on clinical outcomes. Additional research interests focus on conversation memory and discourse processing.
Inhaltsangabe
1. ANOVA and research design 2. Measurement, central tendency, and variability 3. Elements of ANOVA 4. The statistical significance and effect of strength 5. Analysis of variance assumptions 6. One-way between subjects design 7. Multiple comparison procedures 8. Two-way between subjects design 9. Three-way between subjects design 10. One-way within subject design 11. Two-way within subjects design 12. Three-way within subjects design 13. Simple mixed design 14. Complex mixed design: two between-subject factors and one within-subject factor 15. Complex mixed design: one between-subject factor and two within-subject factors 16. Analysis of covariance 17. Advanced topics in analysis of variance Appendix A. Primer on SPSS Appendix B. Primer on SAS Enterprise Guide Appendix C. Table of critical f values Appendix D. Deviational formula for sums of squares.
1. ANOVA and research design 2. Measurement, central tendency, and variability 3. Elements of ANOVA 4. The statistical significance and effect of strength 5. Analysis of variance assumptions 6. One-way between subjects design 7. Multiple comparison procedures 8. Two-way between subjects design 9. Three-way between subjects design 10. One-way within subject design 11. Two-way within subjects design 12. Three-way within subjects design 13. Simple mixed design 14. Complex mixed design: two between-subject factors and one within-subject factor 15. Complex mixed design: one between-subject factor and two within-subject factors 16. Analysis of covariance 17. Advanced topics in analysis of variance Appendix A. Primer on SPSS Appendix B. Primer on SAS Enterprise Guide Appendix C. Table of critical f values Appendix D. Deviational formula for sums of squares.
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