Statistical Concepts a Second Course
First Published in 2012. Routledge is an imprint of Taylor & Francis, an informa company.
| Main Author: | |
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| Other Authors: | |
| Format: | eBook |
| Language: | Inglés |
| Published: |
Hoboken :
Taylor and Francis
2013.
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| Edition: | 4th ed |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628047806719 |
Table of Contents:
- Statistical Cocepts; Copyright; Contents; Preface; Acknowledgments; 1. One-Factor Analysis of Variance: Fixed-Effects Model; 1.1 Characteristics of One-Factor ANOVA Model; 1.2 Layout of Data; 1.3 ANOVA Theory; 1.4 ANOVA Model; 1.5 Assumptions and Violation of Assumptions; 1.6 Unequal n's or Unbalanced Procedure; 1.7 Alternative ANOVA Procedures; 1.8 SPSS and G*Power; 1.9 Template and APA-Style Write-Up; 1.10 Summary; Problems; 2. Multiple Comparison Procedures; 2.1 Concepts of Multiple Comparison Procedures; 2.2 Selected Multiple Comparison Procedures; 2.3 SPSS
- 2.4 Template and APA-Style Write-Up2.5 Summary; Problems; 3. Factorial Analysis of Variance: Fixed-Effects Model; 3.1 Two-Factor ANOVA Model; 3.2 Three-Factor and Higher-Order ANOVA; 3.3 Factorial ANOVA With Unequal n's; 3.4 SPSS and G*Power; 3.5 Template and APA-Style Write-Up; 3.6 Summary; Problems; 4. Introduction to Analysis of Covariance: One- Factor Fixed-Effects Model With Single Covariate; 4.1 Characteristics of the Model; 4.2 Layout of Data; 4.3 ANCOVA Model; 4.4 ANCOVA Summary Table; 4.5 Partitioning the Sums of Squares; 4.6 Adjusted Means and Related Procedures
- 4.7 Assumptions and Violation of Assumptions4.8 Example; 4.9 ANCOVA Without Randomization; 4.10 More Complex ANCOVA Models; 4.11 Nonparametric ANCOVA Procedures; 4.12 SPSS and G*Power; 4.13 Template and APA-Style Paragraph; 4.14 Summary; Problems; 5. Random- and Mixed-Effects Analysis of Variance Models; 5.1 One-Factor Random-Effects Model; 5.2 Two-Factor Random-Effects Model; 5.3 Two-Factor Mixed-Effects Model; 5.4 One-Factor Repeated Measures Design; 5.5 Two-Factor Split-Plot or Mixed Design; 5.6 SPSS and G*Power; 5.7 Template and APA-Style Write-Up; 5.8 Summary; Problems
- 6. Hierarchical and Randomized Block Analysis of Variance Models6.1 Two-Factor Hierarchical Model; 6.2 Two-Factor Randomized Block Design for n = 1; 6.3 Two-Factor Randomized Block Design for n > 1; 6.4 Friedman Test; 6.5 Comparison of Various ANOVA Models; 6.6 SPSS; 6.7 Template and APA-Style Write-Up; 6.8 Summary; Problems; 7. Simple Linear Regression; 7.1 Concepts of Simple Linear Regression; 7.2 Population Simple Linear Regression Model; 7.3 Sample Simple Linear Regression Model; 7.4 SPSS; 7.5 G*Power; 7.6 Template and APA-Style Write-Up; 7.7 Summary; Problems; 8. Multiple Regression
- 8.1 Partial and Semipartial Correlations8.2 Multiple Linear Regression; 8.3 Methods of Entering Predictors; 8.4 Nonlinear Relationships; 8.5 Interactions; 8.6 Categorical Predictors; 8.7 SPSS; 8.8 G*Power; 8.9 Template and APA-Style Write-Up; 8.10 Summary; Problems; 9. Logistic Regression; 9.1 How Logistic Regression Works; 9.2 Logistic Regression Equation; 9.3 Estimation and Model Fit; 9.4 Significance Tests; 9.5 Assumptions and Conditions; 9.6 Effect Size; 9.7 Methods of Predictor Entry; 9.8 SPSS; 9.9 G*Power; 9.10 Template and APA-Style Write-Up; 9.11 What Is Next?; 9.12 Summary; Problems
- Appendix: Tables
