Designing Experiments and Analyzing Data
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portes grátis
Designing Experiments and Analyzing Data
A Model Comparison Perspective, Third Edition
Maxwell, Scott E.; Delaney, Harold D.; Kelley, Ken
Taylor & Francis Ltd
08/2017
1080
Dura
Inglês
9781138892286
15 a 20 dias
2120
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Part I: Conceptual Bases of Experimental Design and Analysis 1. The Logic of Experimental Design and Analysis 2. Drawing Valid Inferences from Experiments Part II: Model Comparisons for Between-Subjects Designs 3. Introduction to Model Comparisons: One-Way Between-Subjects Designs 4. Individual Comparisons of Means 5. Testing Several Contrasts: The Multiple-Comparisons Problem 6. Trend Analysis 7. Two-Way Between-Subjects Factorial Designs 8. Higher Order Between-Subjects Factorial Designs 9. Designs with Covariates: ANCOVA and Blocking Extensions 10. Designs with Random or Nested Factors Part III: Model Comparisons for Designs Involving Within-Subjects Factors 11. One-Way Within-Subjects Designs: Univariate Approach 12. Higher-Order Designs with Within-Subjects Factors: Univariate Approach 13. One-Way Within-Subjects Designs: Multivariate Approach 14. Higher Order Designs with Within-Subjects Factors: The Multivariate Approach Part IV: Mixed-Effects Models 15. An Introduction to Mixed-Effects Models: Within-Subjects Designs 16. An Introduction to Mixed-Effect Models: Nested Designs References Appendix
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Mixed Effects Modeling Approach;Harold D. Delaney;Separate Error Term;Ken Kelley;Omnibus Null Hypothesis;Mixed Model Approach;McCarthy Data;Sphericity Assumption;Restricted Model;Pooled Error Term;Random Assignment;Pair-wise Comparison;Contrast Coefficient;Mixed Effects Modeling;Denominator Degrees;Data Sets;Mixed Effects Approach;Compound Symmetry;Nested Designs;Quadratic Trend;Multivariate Approach;ANOVA Approach;Covariance Parameter Estimates;Separate Variance Approach;Omnibus Test;Pairwise Comparison;Intraclass Correlation
Part I: Conceptual Bases of Experimental Design and Analysis 1. The Logic of Experimental Design and Analysis 2. Drawing Valid Inferences from Experiments Part II: Model Comparisons for Between-Subjects Designs 3. Introduction to Model Comparisons: One-Way Between-Subjects Designs 4. Individual Comparisons of Means 5. Testing Several Contrasts: The Multiple-Comparisons Problem 6. Trend Analysis 7. Two-Way Between-Subjects Factorial Designs 8. Higher Order Between-Subjects Factorial Designs 9. Designs with Covariates: ANCOVA and Blocking Extensions 10. Designs with Random or Nested Factors Part III: Model Comparisons for Designs Involving Within-Subjects Factors 11. One-Way Within-Subjects Designs: Univariate Approach 12. Higher-Order Designs with Within-Subjects Factors: Univariate Approach 13. One-Way Within-Subjects Designs: Multivariate Approach 14. Higher Order Designs with Within-Subjects Factors: The Multivariate Approach Part IV: Mixed-Effects Models 15. An Introduction to Mixed-Effects Models: Within-Subjects Designs 16. An Introduction to Mixed-Effect Models: Nested Designs References Appendix
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Mixed Effects Modeling Approach;Harold D. Delaney;Separate Error Term;Ken Kelley;Omnibus Null Hypothesis;Mixed Model Approach;McCarthy Data;Sphericity Assumption;Restricted Model;Pooled Error Term;Random Assignment;Pair-wise Comparison;Contrast Coefficient;Mixed Effects Modeling;Denominator Degrees;Data Sets;Mixed Effects Approach;Compound Symmetry;Nested Designs;Quadratic Trend;Multivariate Approach;ANOVA Approach;Covariance Parameter Estimates;Separate Variance Approach;Omnibus Test;Pairwise Comparison;Intraclass Correlation
