Analysis of Variance Designs
A Conceptual and Computational Approach with SPSS and SAS
$130.00 (X)
- Authors:
- Glenn Gamst, University of La Verne, California
- Lawrence S. Meyers, California State University, Sacramento
- A. J. Guarino, Auburn University, Alabama
- Date Published: September 2008
- availability: Available
- format: Hardback
- isbn: 9780521874816
$
130.00
(X)
Hardback
-
Analysis of Variance Designs presents the foundations of experimental design: 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 progressive undergraduates and graduate students in the behavioral 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.
Read more- 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
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"... readable but with a level of complexity commensurate with that of the topic."
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×Product details
- Date Published: September 2008
- format: Hardback
- isbn: 9780521874816
- length: 594 pages
- dimensions: 260 x 183 x 37 mm
- weight: 1.19kg
- contains: 38 tables 36 exercises
- availability: Available
Table of Contents
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.Instructors have used or reviewed this title for the following courses
- Accounting Research Topics
- Advanced Experimental Design
- Advanced Research Design and Analysis I
- Advanced Univariate Analysis in Educational Research
- Behavioral Statistics
- Data Analysis
- Design and analysis in psychological research
- Design of Experiments
- Experimental Design
- Experimental Design and Regression Analysis
- Experimental Designs and Analysis in Educational Research
- Experimental Methods
- Experimental Methods and Statistics
- Experimental Psychology
- Graduate Seminar in Statistical Methods
- Intermediate Statistics
- Intermediate Statistics and Research Methods
- Intro to Statistics
- Introductory Statistics
- Methods
- Principles of Experimental Analysis
- Regression Analysis and ANOVA
- Research Methods
- Statistics
- Topics in Accounting Research
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