A primer on regression artifacts /
Guardado en:
| Autor principal: | |
|---|---|
| Otros Autores: | |
| Formato: | Libro |
| Lenguaje: | Inglés |
| Publicado: |
New York :
Guilford Press,
c1999.
|
| Colección: | Methodology in the social sciences
|
| Materias: | |
| Acceso en línea: | Table of contents |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
Tabla de Contenidos:
- Graphical introduction. From the scatter plot to the correlation coefficient
- The pair-link and Galton Squeeze diagrams
- Backward prediction
- Biology and regression toward the mean
- A golden oldie : McNemar's illustration
- Conclusion
- Mathematical and special cases. Generalization to the case with unequal means and variances
- Formal definition and formulas
- Frequently asked questions about regression toward the mean
- Conclusion
- Regression artifacts due to extreme group selection. Pre-post design and regression artifacts
- Examples
- Conclusion
- Regression artifacts due to matching. Detailed illustration of the limits of matching
- Direction of bias
- Conclusion
- Regression artifacts due to statistical "equating". Look at the "treatment effect" on the covariate
- Illustration of the bias in statistical equating
- Direction of bias
- When statistical equating works
- Alternatives to statistical equating
- Examples
- Conclusion
- Regression artifacts in change scores. Correlations with change scores
- Reliability of change scores
- The measurement of change
- Correlates of change
- Conclusion
- Regression artifacts in time-series studies. The Connecticut crackdown on speeding
- The offset effect of psychotherapy
- Time series of HIV treatment in clinical trials
- ARIMA modeling and regression artifacts
- Conclusion
- Regression artifacts in longitudinal studies. Over-time correlational structure
- Regression artifacts in multiwave studies
- Conclusion
- Cross-lagged panel correlation analysis. What is CLPC analysis?
- Complications in CLPC analysis
- The Rogosa critique
- CLPC as a special case of the multitrait-multimethod
- Matrix model
- Conclusion : what is to be done?
- Conclusion. Common sense and data analysis : a brief epistemological exegesis
- Time, reversed analysis
- Graphical display of results
- The importance of research design
- Careful consideration of plausible rival hypotheses
- Regression and prediction
- Conclusion. Glossary of terms
- Glossary of symbols
- Appendix A: Dice-rolling program and data sets used as illustrations
- Appendix B: The computation of autocorrelations.