Analysis of Variance Designs
A Conceptual and Computational Approach with SPSS and SAS
Nonfiction, Social & Cultural Studies, Social Science, Statistics, Science & Nature, Mathematics
| Author: | Glenn Gamst, Lawrence S. Meyers, A. J. Guarino | ISBN: | 9781107486713 |
| Publisher: | Cambridge University Press | Publication: | September 1, 2008 |
| Imprint: | Cambridge University Press | Language: | English |
| Author: | Glenn Gamst, Lawrence S. Meyers, A. J. Guarino |
| ISBN: | 9781107486713 |
| Publisher: | Cambridge University Press |
| Publication: | September 1, 2008 |
| Imprint: | Cambridge University Press |
| Language: | English |
ANOVA (Analysis Of Variance) is one of the most fundamental and ubiquitous univariate methodologies employed by psychologists and other behavioural scientists. Analysis of Variance Designs presents the foundations of this experimental design, including assumptions, statistical significance, strength of effect, and the partitioning of the variance. Exploring the effects of one or more independent variables on a single dependent variable as well as two-way and three-way mixed designs, this textbook offers an overview of traditionally advanced topics for advanced undergraduates and graduate students in the behavioural and social sciences. Separate chapters are devoted to multiple comparisons (post hoc and planned/weighted), ANCOVA, and advanced topics. Each of the design chapters contains conceptual discussions, hand calculations, and procedures for the omnibus and simple effects analyses in both SPSS and the new 'click and shoot' SAS Enterprise Guide interface.
ANOVA (Analysis Of Variance) is one of the most fundamental and ubiquitous univariate methodologies employed by psychologists and other behavioural scientists. Analysis of Variance Designs presents the foundations of this experimental design, including assumptions, statistical significance, strength of effect, and the partitioning of the variance. Exploring the effects of one or more independent variables on a single dependent variable as well as two-way and three-way mixed designs, this textbook offers an overview of traditionally advanced topics for advanced undergraduates and graduate students in the behavioural and social sciences. Separate chapters are devoted to multiple comparisons (post hoc and planned/weighted), ANCOVA, and advanced topics. Each of the design chapters contains conceptual discussions, hand calculations, and procedures for the omnibus and simple effects analyses in both SPSS and the new 'click and shoot' SAS Enterprise Guide interface.
