Keith Mcneil, Isadore Newman, John W. Fraas
Designing General Linear Models to Test Research Hypotheses
Keith Mcneil, Isadore Newman, John W. Fraas
Designing General Linear Models to Test Research Hypotheses
- Broschiertes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
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.
Andere Kunden interessierten sich auch für
N. Ramesh KumarOn Criteria for Testing Linear Hypotheses in Regression Models27,99 €
Stefan Wellek (Central Institute of Mental Health, Mannheim, and Germany University of Heidelberg)Testing Statistical Hypotheses of Equivalence and Noninferiority109,99 €
Phillip I GoodPermutation, Parametric, and Bootstrap Tests of Hypotheses203,99 €
Leader NavaeiIdentification of Optimality of Multiple Hypotheses Testing32,99 €
Pons OdileSTATISTICAL TESTS OF NONPARAMETRIC HYPOTHESES94,99 €
Phillip I GoodPermutation, Parametric, and Bootstrap Tests of Hypotheses151,99 €
Stonia ThorandTesting statistical hypotheses using parametric tests15,95 €-
-
-
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.
Produktdetails
- Produktdetails
- Verlag: University Press of America
- Seitenzahl: 496
- Erscheinungstermin: 14. Dezember 2011
- Englisch
- Abmessung: 229mm x 152mm x 27mm
- Gewicht: 711g
- ISBN-13: 9780761857686
- ISBN-10: 0761857680
- Artikelnr.: 35056507
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: University Press of America
- Seitenzahl: 496
- Erscheinungstermin: 14. Dezember 2011
- Englisch
- Abmessung: 229mm x 152mm x 27mm
- Gewicht: 711g
- ISBN-13: 9780761857686
- ISBN-10: 0761857680
- Artikelnr.: 35056507
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Keith McNeil has taught statistics and research methods since 1967. He has been active in the Special Interest Group of Multiple Linear Regression in the American Educational Research Association since its inception. He has co-authored three other books on GLM, as well as a text on research methods and a text on survey research and writing dissertations with Isadore Newman. McNeil is an emeritus professor at New Mexico State University. Isadore Newman has taught statistics and research methods since 1970. He has been active in the Special Interest Group of Multiple Linear Regression in the American Educational Research Association since its inception, serving as the editor of its journal for twenty years. He has co-authored seventeen books and book chapters related to research methods, three of which were co-authored with Keith McNeil on GLM, survey research, and writing dissertations. He is a distinguished professor emeritus at Akron University and currently serves as visiting scholar at Florida International University. John W. Fraas, the Board of Trustees' distinguished professor emeritus, taught statistics at Ashland University in the Schools of Business, Economics, and Education for nearly four decades. While at Ashland University, he was awarded numerous teaching awards including the first Teaching Excellence Award given by the Association of Collegiate Business Schools and Programs. He has published over thirty-five journal articles dealing with applied statistics in the fields of business management, economics, and education. In addition, he authored a text entitled Basic Concepts in Educational Research and its corresponding workbook (University Press of America).
Chapter 1: Introduction to the General Linear Model
Chapter 2: Hypothesis Testing
Chapter 3: Vectors and Vector Operations
Chapter 4: Research Hypotheses Employing Dichotomous Predictor Variables
Chapter 5: Research Hypotheses Employing Continuous Predictor Variables
Chapter 6: Multiple Continuous Predictor Variables
Chapter 7: Interaction
Chapter 8: Statistical Control of Possible Confounding Variables
Chapter 9: Nonlinear Relationships
Chapter 10: Detection of Change
Chapter 11: Dichotomous Criterion Variable
Chapter 12: The Strategy of Research as Viewed from the GLM Approach
Appendixes
References
Index
Authors
Chapter 2: Hypothesis Testing
Chapter 3: Vectors and Vector Operations
Chapter 4: Research Hypotheses Employing Dichotomous Predictor Variables
Chapter 5: Research Hypotheses Employing Continuous Predictor Variables
Chapter 6: Multiple Continuous Predictor Variables
Chapter 7: Interaction
Chapter 8: Statistical Control of Possible Confounding Variables
Chapter 9: Nonlinear Relationships
Chapter 10: Detection of Change
Chapter 11: Dichotomous Criterion Variable
Chapter 12: The Strategy of Research as Viewed from the GLM Approach
Appendixes
References
Index
Authors
Chapter 1: Introduction to the General Linear Model
Chapter 2: Hypothesis Testing
Chapter 3: Vectors and Vector Operations
Chapter 4: Research Hypotheses Employing Dichotomous Predictor Variables
Chapter 5: Research Hypotheses Employing Continuous Predictor Variables
Chapter 6: Multiple Continuous Predictor Variables
Chapter 7: Interaction
Chapter 8: Statistical Control of Possible Confounding Variables
Chapter 9: Nonlinear Relationships
Chapter 10: Detection of Change
Chapter 11: Dichotomous Criterion Variable
Chapter 12: The Strategy of Research as Viewed from the GLM Approach
Appendixes
References
Index
Authors
Chapter 2: Hypothesis Testing
Chapter 3: Vectors and Vector Operations
Chapter 4: Research Hypotheses Employing Dichotomous Predictor Variables
Chapter 5: Research Hypotheses Employing Continuous Predictor Variables
Chapter 6: Multiple Continuous Predictor Variables
Chapter 7: Interaction
Chapter 8: Statistical Control of Possible Confounding Variables
Chapter 9: Nonlinear Relationships
Chapter 10: Detection of Change
Chapter 11: Dichotomous Criterion Variable
Chapter 12: The Strategy of Research as Viewed from the GLM Approach
Appendixes
References
Index
Authors







