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Showing 1 to 15 of 20 results Save | Export
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Peter Z. Schochet – Journal of Educational and Behavioral Statistics, 2025
Random encouragement designs evaluate treatments that aim to increase participation in a program or activity. These randomized controlled trials (RCTs) can also assess the mediated effects of participation itself on longer term outcomes using a complier average causal effect (CACE) estimation framework. This article considers power analysis…
Descriptors: Statistical Analysis, Computation, Causal Models, Research Design
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Peter Schochet – Society for Research on Educational Effectiveness, 2024
Random encouragement designs are randomized controlled trials (RCTs) that test interventions aimed at increasing participation in a program or activity whose take up is not universal. In these RCTs, instead of randomizing individuals or clusters directly into treatment and control groups to participate in a program or activity, the randomization…
Descriptors: Statistical Analysis, Computation, Causal Models, Research Design
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McNeish, Daniel; Peña, Armando; Vander Wyst, Kiley B.; Ayers, Stephanie L.; Olson, Micha L.; Shaibi, Gabriel Q. – Prevention Science, 2023
Growth mixture models (GMMs) are applied to intervention studies with repeated measures to explore heterogeneity in the intervention effect. However, traditional GMMs are known to be difficult to estimate, especially at sample sizes common in single-center interventions. Common strategies to coerce GMMs to converge involve post hoc adjustments to…
Descriptors: Prevention, Intervention, Growth Models, Program Effectiveness
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Nazari, Sanaz; Leite, Walter L.; Huggins-Manley, A. Corinne – Journal of Experimental Education, 2023
The piecewise latent growth models (PWLGMs) can be used to study changes in the growth trajectory of an outcome due to an event or condition, such as exposure to an intervention. When there are multiple outcomes of interest, a researcher may choose to fit a series of PWLGMs or a single parallel-process PWLGM. A comparison of these models is…
Descriptors: Growth Models, Statistical Analysis, Intervention, Comparative Analysis
McNeish, Daniel; Peña, Armando; Vander Wyst, Kiley B.; Ayers, Stephanie L.; Olson, Micha L.; Shaibi, Gabriel Q. – Grantee Submission, 2021
Growth mixture models (GMMs) are applied to intervention studies with repeated measures to explore heterogeneity in the intervention effect. However, traditional GMMs are known to be difficult to estimate, especially at sample sizes common in single-center interventions. Common strategies to coerce GMMs to converge involve post-hoc adjustments to…
Descriptors: Prevention, Intervention, Growth Models, Program Effectiveness
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Finch, W. Holmes; Finch, Maria Hernández – Journal of Experimental Education, 2018
Single subject (SS) designs are popular in educational and psychological research. There exist several statistical techniques designed to analyze such data and to address the question of whether an intervention has the desired impact. Recently, researchers have suggested that generalized additive models (GAMs) might be useful for modeling…
Descriptors: Educational Research, Longitudinal Studies, Simulation, Models
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Coffman, Donna L. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
Mediation is usually assessed by a regression-based or structural equation modeling (SEM) approach that we refer to as the classical approach. This approach relies on the assumption that there are no confounders that influence both the mediator, "M", and the outcome, "Y". This assumption holds if individuals are randomly…
Descriptors: Structural Equation Models, Simulation, Regression (Statistics), Probability
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Solomon, Benjamin G.; Forsberg, Ole J. – School Psychology Quarterly, 2017
Bayesian techniques have become increasingly present in the social sciences, fueled by advances in computer speed and the development of user-friendly software. In this paper, we forward the use of Bayesian Asymmetric Regression (BAR) to monitor intervention responsiveness when using Curriculum-Based Measurement (CBM) to assess oral reading…
Descriptors: Bayesian Statistics, Regression (Statistics), Least Squares Statistics, Evaluation Methods
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Taylor, Joseph; Kowalski, Susan; Stuhlsatz, Molly; Wilson, Christopher; Spybrook, Jessaca – Society for Research on Educational Effectiveness, 2013
The purpose of this paper is to use both conceptual and statistical approaches to explore publication bias in recent causal effects studies in science education, and to draw from this exploration implications for researchers, journal reviewers, and journal editors. This paper fills a void in the "science education" literature as no…
Descriptors: Science Education, Influences, Bias, Statistical Analysis
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Schnabel, Deborah B. L.; Kelava, Augustin; van de Vijver, Fons J. R. – Journal of College Student Development, 2016
For this study we examined collaborative assessment in counseling 820 German students who were going abroad and who were exposed to the Test to Measure Intercultural Competence (TMIC). A randomized pretest-posttest control group design was used. The control group did not get any test feedback. The remaining groups received written feedback or…
Descriptors: Study Abroad, Cultural Awareness, Self Esteem, Metacognition
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Harvill, Eleanor L.; Peck, Laura R.; Bell, Stephen H. – American Journal of Evaluation, 2013
Using exogenous characteristics to identify endogenous subgroups, the approach discussed in this method note creates symmetric subsets within treatment and control groups, allowing the analysis to take advantage of an experimental design. In order to maintain treatment--control symmetry, however, prior work has posited that it is necessary to use…
Descriptors: Experimental Groups, Control Groups, Research Design, Sampling
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Parrish, Danielle E.; Rubin, Allen – Research on Social Work Practice, 2011
This study utilized a replicated one-group pretest-posttest design with 3 month follow-up to evaluate the impact of a one-day continuing education training on the evidence-based practice (EBP) process with community practitioners (N = 69). Outcome measures assessed the level of workshop participants' familiarity with the EBP process, their…
Descriptors: Familiarity, Academic Achievement, Continuing Education, Workshops
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Bowers, Alex J.; Sprott, Ryan – Journal of Educational Research, 2012
Historically, students who fail to graduate from secondary school are considered as a single category of school dropouts. However, emerging literature indicates that there may be multiple subgroups of high school dropouts, termed a "dropout typology". The authors' purpose was to assess the extent to which a typology of dropouts was present in a…
Descriptors: Grade Point Average, Dropouts, Classification, High Schools
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Goomas, David T. – Community College Journal of Research and Practice, 2012
In a pilot study at El Centro College, an urban college in the Dallas County Community College District, students in a new-to-college educational framework class were offered an intervention intended to enhance the academic advising process. The intervention consisted of in-class career services advising, degree selection, degree planning, course…
Descriptors: Intervention, Course Selection (Students), Academic Advising, Pilot Projects
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Kazi, Mansoor A. F.; Pagkos, Brian; Milch, Heidi A. – Research on Social Work Practice, 2011
Objectives: The purpose of this study was to develop a realist evaluation paradigm in social work evidence-based practice. Method: Wraparound (at Gateway-Longview Inc., New York) used a reliable outcome measure and an electronic database to systematically collect and analyze data on the interventions, the client demographics and circumstances, and…
Descriptors: Intervals, Data Analysis, Social Work, Sample Size
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