Analysis of variance designs : a conceptual and computational approach with SPSS and SAS / Glenn Gamst, Lawrence S. Meyers, A.J. Guarino.
By: Gamst, Glenn [author.].
Contributor(s): Meyers, Lawrence S [author.] | Guarino, A. J [author.].
Material type:
BookPublisher: Cambridge ; New York : Cambridge University Press, 2008Description: xvi, 578 p. : ill. ; 27 cm.ISBN: 9780521874816 (hardback); 0521874815 (hardback).Subject(s): SPSS (Computer file) | SAS (Computer file) | Analysis of varianceDDC classification: 519.538 Online resources: Table of contents only | Item type | Current location | Call number | Copy number | Status | Date due |
|---|---|---|---|---|---|
Monograph
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Indian Institute of Management Udaipur B2/2 | 519.538 (Browse shelf) | 1 | Available |
Includes bibliographical references (p. 561-565) and indexes.
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.
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.
Appeals to undergraduates taking a second statistics course and master and doctoral students in applied subjects
Each chapter contains applications sections showing how methods discussed in text can be implemented in the software package SPSS
Presents traditionally advanced material such as ANOVA in an accessible way for undergraduates. taken from Publisher's website.
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