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Pustejovsky, James E.; Hedges, Larry V.; Shadish, William R. – Journal of Educational and Behavioral Statistics, 2014
In single-case research, the multiple baseline design is a widely used approach for evaluating the effects of interventions on individuals. Multiple baseline designs involve repeated measurement of outcomes over time and the controlled introduction of a treatment at different times for different individuals. This article outlines a general…
Descriptors: Hierarchical Linear Modeling, Effect Size, Maximum Likelihood Statistics, Computation
Clarke, Ben; Doabler, Christian T.; Kosty, Derek; Kurtz Nelson, Evangeline; Smolkowski, Keith; Fien, Hank; Turtura, Jessica – Grantee Submission, 2017
This study used a randomized controlled trial design to investigate the ROOTS curriculum, a 50-lesson kindergarten mathematics intervention. Ten ROOTS-eligible students per classroom (n = 60) were randomly assigned to one of three conditions: a ROOTS five-student group, a ROOTS two-student group, and a no-treatment control group. Two primary…
Descriptors: Randomized Controlled Trials, Comparative Analysis, Kindergarten, Mathematics Instruction
Coughlin, Kevin B. – ProQuest LLC, 2013
This study is intended to provide researchers with empirically derived guidelines for conducting factor analytic studies in research contexts that include dichotomous and continuous levels of measurement. This study is based on the hypotheses that ordinary least squares (OLS) factor analysis will yield more accurate parameter estimates than…
Descriptors: Comparative Analysis, Least Squares Statistics, Maximum Likelihood Statistics, Factor Analysis