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Woods, Isaac L., Jr.; Niileksela, Christopher; Floyd, Randy G. – Contemporary School Psychology, 2021
Racial/ethnic bias in the prediction of students' educational potential was questioned in the Larry P. Vs. Riles case. The construct and predictive validity of the Woodcock-Johnson IV Tests of Cognitive Abilities (WJ IV; Schrank et al. 2014b) have not been examined for racial/ethnic bias. This study extended Keith's (1999) examination of bias…
Descriptors: Cognitive Ability, Cognitive Tests, Predictor Variables, Reading Achievement
Leach, Stephen Michael – ProQuest LLC, 2022
School climate is increasingly recognized by scholars and policymakers as a crucial factor associated with students' educational experiences. Hence, practitioners endeavor to equitably measure and improve school climate to promote favorable student academic and behavior outcomes. Unfortunately, school climate research is fragmented, and a…
Descriptors: Psychometrics, School Surveys, Student Surveys, Middle School Students
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Dai, Yael G.; Porto, Katelynn S.; Skapek, Mary; Barton, Marianne L.; Dumont-Mathieu, Thyde; Fein, Deborah A.; Robins, Diana L. – Journal of Autism and Developmental Disorders, 2021
The Modified Checklist for Autism in Toddlers, Revised, with Follow-Up (M-CHAT-R/F) is the most widely used screener for ASD. Despite the comparable rate of ASD in Black and White children, the M-CHAT-R/F was validated on a primarily White, Non-Hispanic sample. Few studies have assessed whether the screener performs adequately with racial…
Descriptors: Screening Tests, Check Lists, Autism, Pervasive Developmental Disorders
Kim, Jerin – ProQuest LLC, 2019
This study evaluated the predictive and concurrent validity of the Tiered Fidelity Inventory (TFI). Structural equation modeling was applied to test the associations between the TFI and student outcomes. First, a total of 1,691 schools with TFI Tier 1 in 2016-17 and school-wide discipline outcomes in 2015-16 and 2016-17 were targeted, finding a…
Descriptors: Fidelity, Response to Intervention, Measures (Individuals), Predictive Validity
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Eklund, Katie; Kilgus, Stephen P.; Barber, Alexandra; Dubose, Kortni; Collins, Bri'Anna; Eikenmeyer, Madison – Psychology in the Schools, 2023
Universal screening has emerged as one strategy within schools for identifying students who demonstrate social emotional and behavioral (SEB) concerns to provide appropriate support. However, research has demonstrated little evidence of equity around diagnostic accuracy; that is, how students might be differentially identified as at-risk for SEB…
Descriptors: Race, Ethnicity, Racial Differences, Student Characteristics
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Cowan, James; Goldhaber, Dan; Jin, Zeyu; Theobald, Roddy – American Educational Research Journal, 2023
We investigate the predictive validity of teacher licensure tests using data from the Massachusetts Tests for Educator Licensure (MTEL). MTEL scores predict teachers' in-service performance ratings and contributions to student test scores (i.e., value added). We then explore whether these relationships vary for teacher candidates of color.…
Descriptors: Teacher Certification, Teacher Competency Testing, Licensing Examinations (Professions), Predictive Validity
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Wilkinson, Tyler; Shugart, Austin; Williams, Ashley; Riechel, Morgan Kiper – International Journal for the Advancement of Counselling, 2021
Researchers explored group differences in the predictive validity of undergraduate GPA, GRE, and MAT scores on CPCE results between 14a sample of White and Black counseling students (n = 378). Results indicated that both the GRE and MAT demonstrate predictive validity on CPCE scores. Differences across the sampling groups and implications for…
Descriptors: Racial Differences, Predictive Validity, Undergraduate Study, Grade Point Average
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Jing Liu; Megan Kuhfeld; Monica Lee; Danett Song – Society for Research on Educational Effectiveness, 2021
Background: Noncognitive skills are a critical component of human capital and are highly consequential for student life outcomes (Heckman et al., 2006; Cunha et al., 2010). While there is a great deal of debates around what noncognitive skills are, their measurement, and their interpretation (Duckworth & Yeager, 2015; Humphries & Kosse,…
Descriptors: Human Capital, Predictive Validity, Skill Development, Educational Policy
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Kathleen Lane; Katie Pelton – Society for Research on Educational Effectiveness, 2024
Educational leaders through the United States have prioritized developing integrated tiered systems to assist educators in meeting students' academic, behavioral, and social and emotional well-being learning needs in an integrated fashion (McIntosh & Goodman, 2016). This is an important shift away from traditional reactive models towards…
Descriptors: Multi Tiered Systems of Support, Screening Tests, Measures (Individuals), Student Needs
Geiser, Saul – Center for Studies in Higher Education, 2020
One of the major claims of the report of University of California's Task Force on Standardized Testing is that SAT and ACT scores are superior to high-school grades in predicting how students will perform at UC. This finding has been widely reported in the news media and cited in several editorials favoring UC's continued use of SAT/ACT scores in…
Descriptors: College Entrance Examinations, Grade Point Average, Standardized Tests, College Admission
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Cattell, Lindsay; Bruch, Julie – Regional Educational Laboratory Mid-Atlantic, 2021
This report provides information for administrators in local education agencies who are considering early warning systems to identify at-risk students. Districts use early warning systems to target resources to the most at-risk students and intervene before students drop out. Schools want to ensure the early warning system accurately identifies…
Descriptors: At Risk Students, Identification, Artificial Intelligence, Dropout Prevention
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
Part II of the Houston Longitudinal Study on the Transition to College and Work (HLS) examined potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college. The study used administrative data from the Houston Independent School District (HISD) and tracked two…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
This report examined three potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college: (1) Chicago: Designed to predict high school graduation; based on earning six course credits--the minimum to advance to the next grade in HISD--and having at most one semester…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
These are the appendices for "Transitioning to College and Work. Part 2: A Study of Potential Enrollment Indicators," which examined potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college. The study used administrative data from the Houston…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Rickes, Scott – ProQuest LLC, 2018
The ability to predict accurately college freshman-year grade point average (FYGPA) in a way that minimizes the adverse impact associated with the predictors traditionally used as acceptance criteria has been an important and controversial topic for several decades. FYGPA is an important measure of educational performance because it is related to…
Descriptors: Racial Differences, Predictor Variables, Ethnicity, College Freshmen
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