183 results on '"McArdle, John J."'
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2. Dynamic Structural Equation Modeling in Longitudinal Experimental Studies
3. Nonlinear Growth Mixture Models in Research on Cognitive Aging
4. Growth Curve Analysis
5. The Observed Dependency of Longitudinal Data
6. Genetic Studies of Behavior: Methodology
7. Alternative definitions of individual changes.
8. Analyses based on latent change score models.
9. Variance components for longitudinal factor models.
10. Multiple group structural equation modeling approaches to group differences.
11. Some technical details on structural equation modeling.
12. Analyses based on cross-lagged regression in changes of factors.
13. Plotting bivariate latent change score results.
14. Using the simplified reticular action model notation.
15. More alternative factorial solutions for longitudinal data.
16. Considering factorial invariance in longitudinal structural equation modeling.
17. Applying a bivariate change model with multiple groups.
18. Longitudinal data analysis using structural equation models.
19. Analyses based on time-series regression models.
20. Basics of structural equation modeling.
21. Factor invariance in longitudinal research.
22. The popular repeated measures analysis of variance.
23. Considering common factors/latent variables in structural models.
24. The bivariate latent change score model for multiple occasions.
25. Repeated measures analysis of variance as a structural model.
26. Contemporary data analyses based on planned incompleteness.
27. Benefits and problems using structural equation modeling in longitudinal research.
28. Models for intensively repeated measures.
29. Incomplete data with multiple group modeling of changes.
30. Extensions to longitudinal categorial factors.
31. Analyses based on latent curve models.
32. Dynamic influences over groups.
33. Analyses based on cross-lagged regression and changes.
34. Studying interindividual differences in intraindividual changes.
35. Analyses based on advanced latent change score models.
36. Coda: The future is yours!
37. Alternative common factors with multiple longitudinal observations.
38. Multilevel structural equation modeling approaches to group differences.
39. Dynamic processes over groups.
40. Current models for multiple longitudinal outcome scores.
41. Notes on the inclusion of randomization in longitudinal studies.
42. Background and goals of longitudinal research.
43. Overview.
44. Structural Equation Models
45. Basic issues in the measurement of change.
46. Exploratory data mining using CART in the behavioral sciences.
47. Cognition and Economic Outcomes in the Health and Retirement Survey
48. Five Steps in Latent Curve and Latent Change Score Modeling with Longitudinal Data
49. Contemporary Challenges of Longitudinal Measurement Using HRS Data
50. An Empirical Example of Change Analysis by Linking Longitudinal Item Response Data From Multiple Tests
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