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von Eye, Alexander; Wiedermann, Wolfgang; Herman, Keith C.; Reinke, Wendy – Prevention Science, 2023
In standard statistical data analysis, the effects of intervention or prevention efforts are evaluated in terms of variable relations. Results from application of regression-type methods suggest whether, overall, intervention is successful. In this article, we propose using configural frequency analysis (CFA) either in tandem with regression-type…
Descriptors: Intervention, Regression (Statistics), Data Analysis, Profiles
von Eye, Alexander; Wiedermann, Wolfgang; Herman, Keith C.; Reinke, Wendy M. – Grantee Submission, 2021
In standard statistical data analysis, the effects of intervention or prevention efforts are evaluated in terms of variable relations. Results from application of regression-type methods suggest whether, overall, intervention is successful. In this article, we propose using configural frequency analysis (CFA) either in tandem with regression-type…
Descriptors: Intervention, Regression (Statistics), Data Analysis, Profiles
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Rioux, Charlie; Little, Todd D. – International Journal of Behavioral Development, 2021
Missing data are ubiquitous in studies examining preventive interventions. This missing data need to be handled appropriately for data analyses to yield unbiased results. After a brief discussion of missing data mechanisms, inappropriate missing data treatments and appropriate missing data treatments, we review the current state of missing data…
Descriptors: Prevention, Intervention, Data Analysis, Correlation
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Vaccarello, Cara; Kratochwill, Thomas R.; Asmus, Jennifer M. – Journal of Educational and Psychological Consultation, 2023
We examined the outcomes of elementary school-based problem-solving teams (PSTs) who participated in a multi-component consultation focused on enhancing systematic problem solving. Consultation provided to each PST included training in the use of a problem-solving protocol (i.e., "Outcomes: Planning Monitoring, and Evaluating"…
Descriptors: Elementary School Teachers, Problem Solving, Consultation Programs, Coaching (Performance)
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Quin-Anne Hinrichs; Chelsea R. Johnston; Laura Feuerborn; Ashli Tyre – Beyond Behavior, 2025
Implementation of a culturally responsive positive behavioral interventions and supports (PBIS) framework is associated with positive outcomes for secondary students when implemented schoolwide. Yet, educators often report more implementation challenges in secondary school as compared to elementary school settings. Difficulties obtaining student…
Descriptors: Behavior Modification, Positive Behavior Supports, Student Behavior, Behavior Problems
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Nejstgaard, Camilla Hansen; Lundh, Andreas; Abdi, Suhayb; Clayton, Gemma; Gelle, Mustafe Hassan Adan; Laursen, David Ruben Teindl; Olorisade, Babatunde Kazeem; Savovic, Jelena; Hróbjartsson, Asbjørn – Research Synthesis Methods, 2022
Randomised trials are often funded by commercial companies and methodological studies support a widely held suspicion that commercial funding may influence trial results and conclusions. However, these studies often have a risk of confounding and reporting bias. The risk of confounding is markedly reduced in meta-epidemiological studies that…
Descriptors: Medical Research, Randomized Controlled Trials, Corporations, Financial Support
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Pinar Aksoy; Frank M. Gresham – International Journal of Psychology and Educational Studies, 2024
The preschool years, spanning from birth to age six, are crucial periods for acquiring social-emotional learning (SEL) skills. An effective way to address social-emotional learning deficits is to implement evidence-based intervention programs. The purpose of this article is to review specific evidencebased social-emotional learning intervention…
Descriptors: Social Emotional Learning, Evidence Based Practice, Preschool Children, Intervention
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Cavanaugh, Brian – Journal of Applied School Psychology, 2016
Within multitiered behavioral frameworks such as schoolwide positive behavior interventions and supports (SWPBIS), it is recommended that schools use multiple sources of data to identify students at risk who may benefit from additional intervention. To date, much of the research in this area has focused on examining either systematic screening…
Descriptors: At Risk Students, Behavior Problems, Elementary School Students, Statistical Analysis
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Kam Hong Shum; Samuel Kai Wah Chu; Cheuk Yu Yeung – Interactive Learning Environments, 2023
This study examines the use of data analytics to evaluate students' behaviours during their participation in an online collaborative learning environment called SkyApp. To visualise the learning traits of engagement, emotion and motivation, students' inputs and activity data were captured and quantified for analysis. Experiments were first carried…
Descriptors: Student Behavior, Online Courses, Cooperative Learning, Computer Software
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Alexa Budavari; Heather McDaniel; Antonio Morgan-Lopez; Lissette Saavedra; Anna Yaros; John Lochman; Catherine Bradshaw – Society for Research on Educational Effectiveness, 2023
Background: It has become increasingly important to shift education research and programming from a deficit focused perspective to a positive youth development perspective in order to identify and promote factors that support students' positive functioning and outcomes. One outgrowth of positive youth development is Positive Mental Health (PMH),…
Descriptors: Data Analysis, Mental Health, Well Being, Academic Achievement
Bruhn, Allison L.; Wehby, Joseph H.; Hasselbring, Ted S. – Journal of Positive Behavior Interventions, 2020
With the advent of Precision Teaching more than 50 years ago, researchers and practitioners began to examine how to use K-12 students' academic data to guide instructional decisions. Although the field has advanced with the use of curriculum-based measurement and data-driven decision rules for reading and math, the same is not true in the area of…
Descriptors: Social Behavior, Decision Making, Teaching Methods, Measurement
Whisman, Andy – West Virginia Department of Education Office of Research, Accountability, and Data Governance, 2015
This report describes the occurrence of discipline referrals and corresponding interventions and consequences used by schools for harassment, intimidation, or bullying behaviors during the 2014-2015 school year. Using data entered into the West Virginia Education Information System (WVEIS), we conducted two sets of analyses--one focusing on…
Descriptors: Student Behavior, Bullying, Behavior Problems, Discipline
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Kincaid, Don – Journal of Positive Behavior Interventions, 2018
The field of Positive Behavior Support (PBS) has grown and changed significantly in the past 25 years and should be expected to continue that trend for the next 25 years. These changes cannot always be predicted, but they can be managed by considering some current changes to the definition of PBS (Kincaid et al., 2016). This paper discussed how…
Descriptors: Positive Behavior Supports, Student Behavior, Behavior Problems, Evidence Based Practice
Whisman, Andy – West Virginia Department of Education, 2015
This report describes the occurrence of discipline referrals and corresponding interventions and consequences used by schools for "harassment," "intimidation," or "bullying" behaviors during the 2013-2014 school year. Using data entered into the West Virginia Education Information System (WVEIS), the authors conducted…
Descriptors: Student Behavior, Behavior Problems, Referral, Incidence
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Bruhn, Allison L.; McDaniel, Sara C.; Rila, Ashley; Estrapala, Sara – Beyond Behavior, 2018
Students who are at risk for or show low-intensity behavioral problems may need targeted, Tier 2 interventions. Often, Tier 2 problem-solving teams are charged with monitoring student responsiveness to intervention. This process may be difficult for those who are not trained in data collection and analysis procedures. To aid practitioners in these…
Descriptors: Progress Monitoring, Behavior Problems, Student Behavior, At Risk Students
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