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Guanglei Hong; Jonah Deutsch; Heather D. Hill – Grantee Submission, 2015
Conventional methods for mediation analysis generate biased results when the mediator-outcome relationship depends on the treatment condition. This article shows how the ratio-of-mediator-probability weighting (RMPW) method can be used to decompose total effects into natural direct and indirect effects in the presence of treatment-by-mediator…
Descriptors: Weighted Scores, Probability, Statistical Analysis, Interaction
Guanglei Hong; Jonah Deutsch; Heather D. Hill – Journal of Educational and Behavioral Statistics, 2015
Conventional methods for mediation analysis generate biased results when the mediator--outcome relationship depends on the treatment condition. This article shows how the ratio-of-mediator-probability weighting (RMPW) method can be used to decompose total effects into natural direct and indirect effects in the presence of treatment-by-mediator…
Descriptors: Weighted Scores, Probability, Statistical Analysis, Interaction
Chang, Chi – Society for Research on Educational Effectiveness, 2015
It is known that interventions are hard to assign randomly to subjects in social psychological studies, because randomized control is difficult to implement strictly and precisely. Thus, in nonexperimental studies and observational studies, controlling the impact of covariates on the dependent variables and addressing the robustness of the…
Descriptors: Job Satisfaction, Intervention, Sample Size, Weighted Scores
Li, Yanmei – ETS Research Report Series, 2012
In a common-item (anchor) equating design, the common items should be evaluated for item parameter drift. Drifted items are often removed. For a test that contains mostly dichotomous items and only a small number of polytomous items, removing some drifted polytomous anchor items may result in anchor sets that no longer resemble mini-versions of…
Descriptors: Scores, Item Response Theory, Equated Scores, Simulation
Goldman, Robert N.; McKenzie, John D. Jr. – Teaching Statistics: An International Journal for Teachers, 2009
We explain how to simulate both univariate and bivariate raw data sets having specified values for common summary statistics. The first example illustrates how to "construct" a data set having prescribed values for the mean and the standard deviation--for a one-sample t test with a specified outcome. The second shows how to create a bivariate data…
Descriptors: Correlation, Equated Scores, Statistical Analysis, Weighted Scores
Morris, John D. – 1978
Several advantages to the use of factor scores as independent variables in a multiple regression equation were found. To help select the most desirable type of factor score on which to calculate a regression equation, computer-based Monte Carlo methods were used to compare the predictive accuracy upon replication of regression of five…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Multiple Regression Analysis