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Rios, Joseph A.; Ihlenfeldt, Samuel D.; Dosedel, Michael; Riegelman, Amy – Educational Measurement: Issues and Practice, 2020
This systematic review investigated the topics studied and reporting practices of published meta-analyses in educational measurement. Our findings indicated that meta-analysis is not a highly utilized methodological tool in educational measurement; on average, less than one meta-analysis has been published per year over the past 30 years (28…
Descriptors: Meta Analysis, Educational Assessment, Test Format, Testing Accommodations
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Jones, Corey; Graybill, Emily; Barger, Brian; Roach, Andrew T. – Psychology in the Schools, 2020
Through this study we compared different informants and different behavior screening tools that are available to screen for behavioral and emotional risk. We examined screening results from 100 students from a high school with a high achiever's magnet program in the Southeastern United States (school demographics: 71% female and 79% black,…
Descriptors: Predictive Validity, Student Behavior, Screening Tests, High School Students
Sutherland, Marah; Clarke, Ben; Nese, Joseph F. T.; Cary, Mari Strand; Shanley, Lina; Furjanic, David; Durán, Lillian – Grantee Submission, 2020
Drawing from the developmental and cognitive mathematics literature, the purpose of this study was to investigate the reliability, validity, and diagnostic utility of a widely-researched number line task in kindergarten. Specifically, the Number Line Assessment 0-100 (NLA 0-100) as compared to an established kindergarten screening measure was…
Descriptors: Mathematics Tests, Screening Tests, Test Reliability, Test Validity
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Yu, Renzhe; Li, Qiujie; Fischer, Christian; Doroudi, Shayan; Xu, Di – International Educational Data Mining Society, 2020
In higher education, predictive analytics can provide actionable insights to diverse stakeholders such as administrators, instructors, and students. Separate feature sets are typically used for different prediction tasks, e.g., student activity logs for predicting in-course performance and registrar data for predicting long-term college success.…
Descriptors: Prediction, Accuracy, College Students, Success
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Mary M. Stone; Sudi Kash; Teresa Butler; Karolina Callahan; Miguel A. Verdugo; Laura E. Gómez – Journal of Developmental and Physical Disabilities, 2020
Quality of life (QoL) is a key outcome used to monitor service planning and delivery for individuals with Intellectual and Developmental Disabilities (IDD). Unfortunately, many current instruments used to measure QoL have psychometric and content limitations and none are suitable for use with individuals with the lowest levels of functioning and…
Descriptors: Quality of Life, Autism Spectrum Disorders, Residential Care, Measures (Individuals)
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Kurdi, Benedek; Carroll, Timothy J.; Banaji, Mahzarin R. – Cognitive Research: Principles and Implications, 2021
Four studies involving 2552 White American participants were conducted to investigate bias based on the race-based phenotype of hair texture. Specifically, we probed the existence and magnitude of bias in favor of Eurocentric (straight) over Afrocentric (curly) hair and its specificity in predicting responses to a legal decision involving the…
Descriptors: Predictive Validity, Racial Attitudes, Racial Bias, Human Body
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Heeren, Jordi; Speelman, Dirk; De Wachter, Lieve – International Journal of Bilingual Education and Bilingualism, 2021
Language proficiency is assumed to play a role in achievement in tertiary education. When requirements for university entrance are low or demographic changes in the population take place, universities often employ post-admission language assessments to screen all incoming students. In this study, we will look at the predictive validity of a…
Descriptors: Screening Tests, Reading Tests, Vocabulary, Predictive Validity
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Thompson, Aaron M.; Huang, Francis; Smith, Tyler; Reinke, Wendy M.; Herman, Keith C. – School Mental Health, 2021
The purpose of this paper is to confirm the factor structure, examine the invariance, and investigate the predictive validity using disciplinary data for 5262 high school students who completed the Early Identification System--Student Response (EIS-SR). The development and theory of the EIS-SR is discussed along with prior work. Building off of…
Descriptors: Factor Structure, Factor Analysis, Predictive Validity, Identification
Smith, R. Alex; Lembke, Erica S. – Assessment for Effective Intervention, 2021
This study examined the technical adequacy of Picture Word, a type of Writing Curriculum-Based Measurement, with 73 English learners (ELs) with beginning to intermediate English language proficiency in Grades 1, 2, and 3. The ELs in this study attended schools in one midwestern U.S. school district employing an English-only model of instruction…
Descriptors: Writing Tests, English Language Learners, Elementary School Students, Grade 1
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Godfroid, Aline; Kim, Kathy MinHye – Studies in Second Language Acquisition, 2021
This study addresses the role of domain-general mechanisms in second-language learning and knowledge using an individual differences approach. We examine the predictive validity of implicit-statistical learning aptitude for implicit second-language knowledge. Participants (n = 131) completed a battery of four aptitude measures and nine grammar…
Descriptors: Second Language Learning, Language Aptitude, Academic Aptitude, Individual Differences
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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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M. Meghan Davidson – Discourse Processes: A Multidisciplinary Journal, 2023
Text social information includes the cognitive processes and social communication skills that support real or hypothetical human thought or interaction. The current measure of text social information is genre. However, genre is a limited measure because of poor operationalization, limited specificity, and overlap with structural and linguistic…
Descriptors: Picture Books, Information Sources, Predictive Validity, Cognitive Processes
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Murphy, Kimberly A.; Springle, Alisha P.; Sultani, Mollee J.; McIlraith, Autumn – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Analysis of narrative language samples is a recommended clinical practice in the assessment of children's language skills, but we know little about how results from such analyses relate to overall oral language ability across the early school years. We examined the relations between language sample metrics from a short narrative retell,…
Descriptors: Child Language, Oral Language, Language Skills, Story Telling
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J. Anthony, Christopher; Styck, Kara M.; Cooke, Erin; Martel, Justin R.; E. Frye, Katherine – School Psychology Review, 2022
Behavior rating scales represent one of the most commonly used types of assessments in school psychology. Yet, they suffer from a fundamental limitation: They are an indirect methodology influenced partially by student behavior and partially by rater perspectives. Thus, the current study utilized advanced analytic approaches to evaluate rater…
Descriptors: Behavior Rating Scales, Evaluators, Student Evaluation, Elementary School Students
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