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Articles 1 - 2 of 2
Full-Text Articles in Psychology
Mis-Specification Of Functional Forms In Growth Mixture Modeling: A Monte Carlo Simulation, Richa Ghevarghese
Mis-Specification Of Functional Forms In Growth Mixture Modeling: A Monte Carlo Simulation, Richa Ghevarghese
Electronic Theses and Dissertations
Growth mixture modeling (GMM) is a methodological tool used to represent heterogeneity in longitudinal datasets through the identification of unobserved subgroups following qualitatively and quantitatively distinct trajectories in a population. These growth trajectories or functional forms are informed by the underlying developmental theory, are distinct to each subgroup, and form the core assumptions of the model. Therefore, the accuracy of the assumed functional forms of growth strongly influences substantive research and theories of growth. While there is evidence of mis-specified functional forms of growth in GMM literature, the weight of this violation has been largely overlooked. Current solutions to circumvent …
"What Works For Whom" In Family Support Programs: Leveraging Administrative Data To Improve Precision Matching, Elly M. Miles
"What Works For Whom" In Family Support Programs: Leveraging Administrative Data To Improve Precision Matching, Elly M. Miles
Electronic Theses and Dissertations
Family support programs (FSPs) are designed to stabilize and strengthen families on a range of outcomes to promote well-being. Paradoxically, families with the greatest need are more likely to drop out or experience reduced benefit on average. This study examines patterns of differential benefit for families experiencing elevated stress through a cross-program evaluation of “what works for whom” in FSPs.
Family Resource Center Family Development Services (FDSs), Colorado Community Response (CCR), Promoting Safe and Stable Families (PSSF), Head Start (HS), and SafeCare Case Management Pilot (Safe CMP) contributed data on 15,771 participants enrolled in services from 2014-2020. Program samples were …