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Xu, Menglin; Logan, Jessica A. R. – Journal of Research on Educational Effectiveness, 2021
Planned missing data designs allow researchers to have highly-powered studies by testing only a fraction of the traditional sample size. In two-method measurement planned missingness designs, researchers assess only part of the sample on a high-quality expensive measure, while the entire sample is given a more inexpensive, but biased measure. The…
Descriptors: Longitudinal Studies, Research Design, Research Problems, Structural Equation Models
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Gu, Fei; Preacher, Kristopher J.; Ferrer, Emilio – Journal of Educational and Behavioral Statistics, 2014
Mediation is a causal process that evolves over time. Thus, a study of mediation requires data collected throughout the process. However, most applications of mediation analysis use cross-sectional rather than longitudinal data. Another implicit assumption commonly made in longitudinal designs for mediation analysis is that the same mediation…
Descriptors: Statistical Analysis, Models, Research Design, Case Studies
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Overall, John E.; Tonidandel, Scott – Multivariate Behavioral Research, 2010
A previous Monte Carlo study examined the relative powers of several simple and more complex procedures for testing the significance of difference in mean rates of change in a controlled, longitudinal, treatment evaluation study. Results revealed that the relative powers depended on the correlation structure of the simulated repeated measurements.…
Descriptors: Monte Carlo Methods, Statistical Significance, Correlation, Depression (Psychology)