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Micah Watanabe; Danielle S. McNamara – Grantee Submission, 2023
Past research on knowledge has differentiated between dimensions (e.g., amount, accuracy, specificity, coherence) of knowledge. This paper introduces a novel dimension of knowledge, the Motivational Utility of Knowledge (MUK), that is based on fundamental human needs (e.g., physical safety, affiliation, actualization, reproduction). Adults in the…
Descriptors: Homeless People, Individual Needs, Knowledge Level, Prior Learning
Angus Kittelman; M. Kathleen Strickland-Cohen; Robert H. Horner; Kelsey Morris; Tim Lewis; K. Brigid Flannery – Grantee Submission, 2023
Even when schools are implementing Tier 1 systems and practices with high fidelity, some students need more targeted and systematic support. Tier 2 practices provide students with an additional layer of rapid and efficient behavior support. However, school teams will need to regularly measure the fidelity of both core features of these Tier 2…
Descriptors: Positive Behavior Supports, Fidelity, Program Implementation, Measurement Techniques
Ashley A. Edwards; Wilhelmina van Dijk; Christine M. White; Christopher Schatschneider – Grantee Submission, 2022
Given the recent push for universal screening, it is important to take into account how well a screener identifies children at risk for reading problems as well as how screener and sample information contribute to this classification. Picking the best cut-point for a particular sample and screening goal can be challenging given that test manuals…
Descriptors: Screening Tests, Measures (Individuals), Reading Difficulties, Cutting Scores
Andres De Los Reyes; Fanita A. Tyrell; Ashley L. Watts; Gordon J. G. Asmundson – Grantee Submission, 2022
On page 1 of his classic text, Millsap (2011) states, "Measurement invariance is built on the notion that a measuring device should function the same way across varied conditions, so long as those varied conditions are "irrelevant" [emphasis added] to the attribute being measured." By construction, measurement invariance…
Descriptors: Youth, Mental Health, Measurement, Measures (Individuals)
Anh Thu Le; Teresa Ober; Ying Cheng – Grantee Submission, 2024
Procrastination in academic contexts is thought to have a negative effect on students' learning and performance. This research sought to provide a comprehensive multi-method and multimodal validation of a self-report measure of procrastination, revealing its intricate associations with behavioral indicators of procrastination, engagement, and…
Descriptors: Time Management, Measures (Individuals), Test Validity, High School Students
Lauren Berkovits; Jan Blacher; Abbey Eisenhower; Stuart Daniel – Grantee Submission, 2023
Purpose: Comparative data of autism-sensitive standardized measures of emotion regulation and lability, describing percentage change over time for populations of young autistic children, are currently publicly unavailable. We propose publication of such data as a support for future therapeutic intervention studies. Methods: We generate and present…
Descriptors: Emotional Response, Check Lists, Autism Spectrum Disorders, Comparative Analysis
Dylan S. Harrison; Lyndsay N. Jenkins; Amanda B. Nickerson; Julianna Casella; Gina M. Bellavia – Grantee Submission, 2024
Objective: Some children and adolescents who have experienced bullying victimization may also be perpetrators, while others may defend their peers, although moderators of these relationships have rarely been examined. The current study examined the potential moderating effects of affective and cognitive empathy in the relationship between bullying…
Descriptors: Bullying, Victims, High School Students, Suburban Schools
Seohyeon Choi; Kristen L. McMaster; Erica S. Lembke; Manjary Guha – Grantee Submission, 2024
Teachers' knowledge and skills about data-based instruction (DBI) can influence their self-efficacy and their implementation of DBI with fidelity, ultimately playing a crucial role in improving student outcomes. The purpose of this brief report is to provide evidence for the technical adequacy of a measure of DBI knowledge and skills in writing by…
Descriptors: Data Use, Writing Instruction, Knowledge Level, Elementary School Teachers
Emma R. Dear; Bryce D. McLeod; Nicole M. Peterson; Kevin S. Sutherland; Michael D. Broda; Alex R. Dopp; Aaron R. Lyon – Grantee Submission, 2024
Introduction: Due to usability, feasibility, and acceptability concerns, observational treatment fidelity measures are often challenging to deploy in schools. Teacher self-report fidelity measures with specific design features might address some of these barriers. This case study outlines a community-engaged, iterative process to adapt the…
Descriptors: Measures (Individuals), Data Collection, Observation, Learning Analytics
Melissa G. Wolf; Daniel McNeish – Grantee Submission, 2023
To evaluate the fit of a confirmatory factor analysis model, researchers often rely on fit indices such as SRMR, RMSEA, and CFI. These indices are frequently compared to benchmark values of 0.08, 0.06, and 0.96, respectively, established by Hu and Bentler (1999). However, these indices are affected by model characteristics and their sensitivity to…
Descriptors: Programming Languages, Cutting Scores, Benchmarking, Factor Analysis
Meredith P. Franco; Jessika H. Bottiani; Catherine P. Bradshaw – Grantee Submission, 2023
The importance of improving teachers' use of culturally responsive practice (CRP) in the classroom setting has been widely recognized. Although quantitative data on teachers' use of CRP has potential to be a helpful decision-making tool in advancing that goal, little is known about the psychometrics of classroom-based CRP measures, their utility…
Descriptors: Culturally Relevant Education, Educational Practices, Measures (Individuals), Psychometrics
Natalie R. Charamut; Sarah J. Racz; Mo Wang; Andres De Los Reyes – Grantee Submission, 2022
Accurately assessing youth mental health involves obtaining reports from multiple informants who typically display low levels of correspondence. This low correspondence may reflect "situational specificity." That is, youth vary as to where they display mental health concerns and informants vary as to where and from what perspective they…
Descriptors: Youth, Parents, Mental Health, Researchers
Kevin S. Sutherland; Bryce D. McLeod; Maureen A. Conroy; Nicholas Mccormick – Grantee Submission, 2021
While the measurement of treatment integrity is important to determine how much, and how well, interventions are delivered in schools, the science of treatment integrity is not well developed in education research. The purpose of this paper is to describe a program of research that has developed treatment integrity measures over the past 10 years…
Descriptors: Test Construction, Outcomes of Treatment, Measures (Individuals), Intervention
Kristin Michod Gagnier; Steven J. Holochwost; Melissa Ceren; Kelly R. Fisher – Grantee Submission, 2024
American students continue to perform poorly on national and international assessments of Science, Technology, Engineering, and Mathematics (STEM) competencies, and achievement gaps spanning racial/ethnic and socioeconomic lines emerge early and widen over time. Scholars and practitioners agree that expanding access to high-quality STEM education…
Descriptors: Elementary School Students, STEM Education, Disproportionate Representation, Scientific Attitudes
Fredrick, Joseph W.; Burns, G. Leonard; Langberg, Joshua M.; Becker, Stephen P. – Grantee Submission, 2021
The Adult Concentration Inventory (ACI) is an adult self-report measure of sluggish cognitive tempo (SCT) developed following a meta-analysis identifying items distinguishing SCT from ADHD inattention. To date, only one study conducted in college students has examined the structural and external validity of the ACI. The current study evaluated the…
Descriptors: Conceptual Tempo, Adults, Test Validity, Executive Function