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Kush, Joseph M.; Konold, Timothy R.; Bradshaw, Catherine P. – Journal of Experimental Education, 2022
In two-level designs, the total sample is a function of both the number of Level 2 clusters and the average number of Level 1 units per cluster. Traditional multilevel power calculations rely on either the arithmetic average or the harmonic mean when estimating the average number of Level 1 units across clusters of unbalanced size. The current…
Descriptors: Multivariate Analysis, Randomized Controlled Trials, Monte Carlo Methods, Sample Size
Kush, Joseph M.; Konold, Timothy R.; Bradshaw, Catherine P. – Grantee Submission, 2021
Power in multilevel models remains an area of interest to both methodologists and substantive researchers. In two-level designs, the total sample is a function of both the number of level-2 (e.g., schools) clusters and the average number of level-1 (e.g., classrooms) units per cluster. Traditional multilevel power calculations rely on either the…
Descriptors: Multivariate Analysis, Randomized Controlled Trials, Monte Carlo Methods, Sample Size
Bradshaw, Catherine P.; Pas, Elise T.; Debnam, Katrina J.; Johnson, Sarah Lindstrom – Remedial and Special Education, 2021
This study presents findings from a 58 high-school group-randomized controlled trial testing the effectiveness of training in a multitiered system of supports for behavior (MTSS-B) framework, which was leveraged to reduce students' risk for emotional and behavior disorders. The trial tested the impact of MTSS-B, which included (a) training in the…
Descriptors: Randomized Controlled Trials, Positive Behavior Supports, High School Students, Program Effectiveness
Pas, Elise T.; Johnson, Stacy R.; Debnam, Katrina J.; Hulleman, Chris S.; Bradshaw, Catherine P. – Remedial and Special Education, 2019
There are several widely used Positive Behavioral Interventions and Supports (PBIS) implementation fidelity measures, including the Schoolwide Evaluation Tool (SET), but there is limited empirical investigation substantiating the association between specific fidelity cut point scores and student outcomes. This article examined different SET cut…
Descriptors: Positive Behavior Supports, Fidelity, Cutting Scores, Outcomes of Education
Dong, Nianbo; Reinke, Wendy M.; Herman, Keith C.; Bradshaw, Catherine P.; Murray, Desiree W. – Society for Research on Educational Effectiveness, 2015
Cluster randomized experiments are now widely used to examine intervention effects in prevention science. It is meaningful to use empirical benchmarks for interpreting effect size in prevention science. The effect size (i.e., the standardized mean difference, calculated by the difference of the means between the treatment and control groups,…
Descriptors: Effect Size, Correlation, Multivariate Analysis, Statistical Analysis
Abry, Tashia; Cash, Anne H.; Bradshaw, Catherine P. – Society for Research on Educational Effectiveness, 2014
Generalizability theory (GT) offers a useful framework for estimating the reliability of a measure while accounting for multiple sources of error variance. The purpose of this study was to use GT to examine multiple sources of variance in and the reliability of school-level teacher and high school student behaviors as observed using the tool,…
Descriptors: Generalizability Theory, Teacher Behavior, Student Behavior, High School Students
Bradshaw, Catherine P.; Pas, Elise T.; Debnam, Katrina J.; Johnson, Sarah Lindstrom – School Psychology Review, 2015
There is growing interest in the use of a multi-tiered system of supports framework to address issues related to school climate and bullying. Positive Behavioral Interventions and Supports (PBIS) is one such model that has received considerable attention; however, nearly all of the extant literature has focused on elementary and middle schools,…
Descriptors: Positive Behavior Supports, High Schools, Bullying, Statistical Analysis
Johnson, Stacy R.; Pas, Elise T.; Bradshaw, Catherine P. – Grantee Submission, 2016
Coaching models are increasingly used in schools to enhance fidelity and effectiveness of evidence-based interventions, yet little is known about the relationship between the coach and teacher (i.e., coach-teacher alliance), which may indirectly enhance teacher and student outcomes through improved implementation quality. There is also limited…
Descriptors: Coaching (Performance), Interpersonal Relationship, Program Implementation, Evidence Based Practice