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Xu Qin – Grantee Submission, 2023
When designing a study for causal mediation analysis, it is crucial to conduct a power analysis to determine the sample size required to detect the causal mediation effects with sufficient power. However, the development of power analysis methods for causal mediation analysis has lagged far behind. To fill the knowledge gap, I proposed a…
Descriptors: Sample Size, Statistical Analysis, Causal Models, Mediation Theory
Benjamin Lu; Eli Ben-Michael; Avi Feller; Luke Miratrix – Grantee Submission, 2022
In multisite trials, learning about treatment effect variation across sites is critical for understanding where and for whom a program works. Unadjusted comparisons, however, capture "compositional" differences in the distributions of unit-level features as well as "contextual" differences in site-level features, including…
Descriptors: Statistical Analysis, Statistical Distributions, Program Implementation, Comparative Analysis
Ziqian Xu; Fei Gao; Anqi Fa; Wen Qu; Zhiyong Zhang – Grantee Submission, 2024
Conditional process models, including moderated mediation models and mediated moderation models, are widely used in behavioral science research. However, few studies have examined approaches to conduct statistical power analysis for such models and there is also a lack of software packages that provide such power analysis functionalities. In this…
Descriptors: Statistical Analysis, Sample Size, Mediation Theory, Monte Carlo Methods
Lindsay M. Fallon; Emily R. DeFouw; Sadie C. Cathcart; Talia S. Berkman; Patrick Robinson-Link; Breda V. O'Keeffe; George Sugai – Grantee Submission, 2021
School discipline disproportionality has long been documented in educational research, primarily impacting Black/African American and non-White Hispanic/Latinx students. In response, federal policymakers have encouraged educators to change their disciplinary practice, emphasizing that more proactive support is critical to promoting students'…
Descriptors: Discipline, Student Behavior, Behavior Modification, Social Development
Prathiba Natesan Batley; Madhav Thamaran; Larry Vernon Hedges – Grantee Submission, 2023
Single case experimental designs are an important research design in behavioral and medical research. Although there are design standards prescribed by the What Works Clearinghouse for single case experimental designs, these standards do not include statistically derived power computations. Recently we derived the equations for computing power for…
Descriptors: Calculators, Computer Oriented Programs, Computation, Research Design
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Nianbo Dong; Keith Herman; Benjamin Kelcey; Sirui Ren; Wendy Reinke; Jessaca Spybrook – Grantee Submission, 2025
Contextual, identity, and cultural factors are not only associated with student outcomes but can also serve to moderate the effects of interventions. However, the conventional analysis of moderation commonly used in school psychology is subject to the selection bias potentially introducing bias into estimated moderator effects. This article…
Descriptors: Causal Models, Statistical Analysis, Context Effect, Intervention
Yoon, HyeonJin – Grantee Submission, 2018
In basic regression discontinuity (RD) designs, causal inference is limited to the local area near a single cutoff. To strengthen the generality of the RD treatment estimate, a design with multiple cutoffs along the assignment variable continuum can be applied. The availability of multiple cutoffs allows estimation of a pooled average treatment…
Descriptors: Regression (Statistics), Program Evaluation, Computation, Statistical Analysis
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Xu Qin; Lijuan Wang – Grantee Submission, 2023
Research questions regarding how, for whom, and where a treatment achieves its effect on an outcome have become increasingly valued in substantive research. Such questions can be answered by causal moderated mediation analysis, which assesses the heterogeneity of the mediation mechanism underlying the treatment effect across individual and…
Descriptors: Causal Models, Mediation Theory, Computer Software, Statistical Analysis
Timothy Lycurgus; Ben B. Hansen; Mark White – Grantee Submission, 2022
We present an aggregation scheme that increases power in randomized controlled trials and quasi-experiments when the intervention possesses a robust and well-articulated theory of change. Intervention studies using longitudinal data often include multiple observations on individuals, some of which may be more likely to manifest a treatment effect…
Descriptors: Statistical Analysis, Randomized Controlled Trials, Quasiexperimental Design, Intervention
Christian T. Doabler; Ben Clarke; Derek Kosty; Marah Sutherland; Jessica E. Turtura; Allison R. Firestone; Georgia L. Kimmel; Patrick Brott; Tasia L. Brafford; Nancy J. Nelson Fien; Keith Smolkowski; Kathleen Jungjohann – Grantee Submission, 2022
Measurement and statistical investigation are areas of mathematics visibly neglected in educational intervention research, particularly studies involving students with or at risk for mathematics difficulties (MD). This shortage is concerning given the importance these areas hold in students' pursuit of mathematical proficiency. This study…
Descriptors: Measurement, Statistical Analysis, Grade 2, Elementary School Students
McIntosh, Kent; Mercer, Sterett H.; Nese, Rhonda N. T.; Strickland-Cohen, M. Kathleen; Hoselton, Robert – Grantee Submission, 2016
In this analysis of extant data from 3,011 schools implementing school-wide positive behavioral interventions and supports (SWPBIS) across multiple years, we assessed the predictive power of various school characteristics and speed of initial implementation on sustained fidelity of implementation of SWPBIS at 1, 3, and 5 years. In addition, we…
Descriptors: Predictor Variables, Sustainability, Positive Behavior Supports, Intervention
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Jones, Curtis J.; Lander, Rachel; Westrum, Rachel – Grantee Submission, 2015
The purpose of this study was to examine the impact of the i3-funded SPARK program on the literacy development of students in kindergarten through third grade. The SPARK program represents a collaboration between Boys & Girls Clubs of Greater Milwaukee and the Milwaukee Public Schools. In the study, two cohorts of students were randomly…
Descriptors: Elementary School Students, Kindergarten, Grade 1, Grade 2
McDermott, Jennifer Martin; Pears, Katherine C.; Bruce, Jacqueline; Kim, Hyoun K.; Roos, Leslie; Yoerger, Karen L.; Fisher, Philip A. – Grantee Submission, 2017
Background: Among children diagnosed with developmental delays, difficulties in self-regulation are prominent and have been linked to school readiness problems. Objective: The current study sought to examine the impact of the Kids In Transition to School (KITS) school readiness intervention program on self-regulation, with a specific focus on…
Descriptors: Developmental Delays, Self Control, School Readiness, Transitional Programs
Wollersheim Shervey, Sarah; Sandilos, Lia E.; DiPerna, James C.; Lei, Pui-Wa – Grantee Submission, 2017
The purpose of this study was to examine the social validity of the Social Skills Improvement System-Classwide Intervention Program (SSIS-CIP) for teachers in the primary grades. Participants included 45 first and second grade teachers who completed a 16-item social validity questionnaire during each year of the SSIS-CIP efficacy trial. Findings…
Descriptors: Elementary School Teachers, Intervention, Grade 1, Grade 2
Frazee-Brookman, Lauren; Stahmer, Aubyn; Stadnick, Nicole; Chlebowski, Colby; Herschel, Amy; Garland, Ann F. – Grantee Submission, 2015
This study characterized the use of research community partnerships (RCPs) to tailor evidence-based intervention, training, and implementation models for delivery across different childhood problems and service contexts using a survey completed by project principal investigators and community partners. To build on previous RCP research and to…
Descriptors: Best Practices, Intervention, Delivery Systems, Agency Cooperation
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