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- W2894569067 endingPage "469" @default.
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- W2894569067 abstract "Propensity score (PS) analysis aims to reduce bias in treatment effect estimates obtained from observational studies, which may occur due to non-random differences between treated and untreated groups with respect to covariates related to the outcome. We demonstrate how to use structural equation modeling (SEM) for PS analysis to remove selection bias due to latent covariates and estimate treatment effects on latent outcomes. Following the discussion of the design and analysis stages of PS analysis with SEM, an example is presented which uses the Mplus software to analyze data from the 1999 School and Staffing Survey (SASS) and 2000 Teacher Follow-up Survey (TFS) to estimate the effects teacher’s participation in a network of teachers on the teacher’s perception of workload manageability." @default.
- W2894569067 created "2018-10-12" @default.
- W2894569067 creator A5014541342 @default.
- W2894569067 creator A5076461197 @default.
- W2894569067 creator A5078414045 @default.
- W2894569067 date "2018-10-02" @default.
- W2894569067 modified "2023-09-27" @default.
- W2894569067 title "Propensity Score Analysis of Complex Survey Data with Structural Equation Modeling: A Tutorial with <i>Mplus</i>" @default.
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- W2894569067 doi "https://doi.org/10.1080/10705511.2018.1522591" @default.