Designing General Linear Models to Test Research Hypotheses

Informationen zum Autor By Keith McNeil; Isadore Newman and John W. Fraas Klappentext The authors discuss General Linear Models specifically designed to statistically test research hypotheses that deal with the differences among group means, relationships between continuous variables, analysis of covariance, interaction effects, nonlinear relationships, and repeated measures. Illustrations of the various analyses using Microsoft Excel and SPSS for Windows are presented. Zusammenfassung The authors discuss General Linear Models specifically designed to statistically test research hypotheses that deal with the differences among group means, relationships between continuous variables, analysis of covariance, interaction effects, nonlinear relationships, and rep... Inhaltsverzeichnis Chapter 1: Introduction to the General Linear Model Chapter 2: Hypothesis TestingChapter 3: Vectors and Vector OperationsChapter 4: Research Hypotheses Employing Dichotomous Predictor VariablesChapter 5: Research Hypotheses Employing Continuous Predictor VariablesChapter 6: Multiple Continuous Predictor Variables Chapter 7: Interaction Chapter 8: Statistical Control of Possible Confounding VariablesChapter 9: Nonlinear RelationshipsChapter 10: Detection of Change Chapter 11: Dichotomous Criterion Variable Chapter 12: The Strategy of Research as Viewed from the GLM Approach AppendixesReferencesIndexAuthors

Dettagli sul prodotto

• Autori: John W Fraas, John W. Fraas, Fraas John W., Keith McNeil, Keith A. McNeil, Keith/ Newman McNeil, McNeil Keith, Isadore Newman, Newman Isadore
• Editore: Rowman and Littlefield
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 31.12.2011
• EAN: 9780761857686
• ISBN: 978-0-7618-5768-6
• Pagine: 494
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica matematica; Scienze sociali, diritto, economia > Economia > Tematiche generali, enciclopedie; MATHEMATICS / Research, Mathematics, MATHEMATICS / Probability & Statistics / Regression Analysis, BUSINESS & ECONOMICS / Research & Development, Research & development management, Probability & statistics