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Lee, Y.-H.; Heeter, C. – Journal of Computer Assisted Learning, 2017
Educational video games can impose high cognitive demands on its users. Two studies were conducted to examine the cognitive process involved in playing an educational digital game. Study 1 examined the effects of users' working memory capacity and gaming expertise on attention and comprehension of the educational messages. The results showed that…
Descriptors: Cognitive Ability, Expertise, Attention, Educational Games
Bartelink, Cora; de Kwaadsteniet, Leontien; ten Berge, Ingrid J.; Witteman, Cilia L. M. – Child & Youth Care Forum, 2017
Background: The LIRIK, an instrument for the assessment of child safety and risk, is designed to improve assessments by guiding professionals through a structured evaluation of relevant signs, risk factors, and protective factors. Objective: We aimed to assess the interrater agreement and the predictive validity of professionals' judgments made…
Descriptors: Child Safety, Test Validity, Test Reliability, Risk
Hatchett, Gregory T.; Lawrence, Christopher; Coaston, Susannah C. – International Journal for the Advancement of Counselling, 2017
The purpose of this study was to re-evaluate the validity of traditional admissions criteria--UGPA and GRE scores--in predicting academic success for students admitted to a counselor education program in the United States. In contrast to prior research, we also included the newer GRE-Analytical Writing scores in our analyses. In general, we found…
Descriptors: Admission Criteria, Counselor Training, Academic Achievement, Predictive Validity
Terrell, Misty – National Technical Assistance Center on Transition, 2017
Early warning systems (EWS), in the context of secondary transition, are tools that analyze individual student-level data and estimate each student's risk of dropping out of school or completing school on time. Such tools generally consider three primary types of data--commonly referred to as the A, B, Cs: attendance/absence data,…
Descriptors: Identification, Intervention, Secondary School Students, At Risk Students
Rae, James R.; Olson, Kristina R. – Developmental Psychology, 2018
The Implicit Association Test (IAT) is increasingly used in developmental research despite minimal evidence of whether children's IAT scores are reliable across time or predictive of behavior. When test-retest reliability and predictive validity have been assessed, the results have been mixed, and because these studies have differed on many…
Descriptors: Pretests Posttests, Test Reliability, Predictive Validity, Association Measures
Klieger, David M.; Bridgeman, Brent; Tannenbaum, Richard J.; Cline, Frederick A.; Olivera-Aguilar, Margarita – ETS Research Report Series, 2018
Educational Testing Service (ETS), working with 21 U.S. law schools, evaluated the predictive validity of the GRE® General Test using a sample of 1,587 current and graduated law students. Results indicated that the GRE is a strong, generalizably valid predictor of first-year law school grades and that it provides useful information even when…
Descriptors: College Entrance Examinations, Graduate Study, Test Validity, Scores
Whitley, Samuel F.; Cuenca-Carlino, Yojanna – Assessment for Effective Intervention, 2020
Many schools attempt to identify and service students at risk for poor mental health outcomes within a multi-tiered system of support (MTSS). Universal screening within a MTSS requires technically adequate tools. The Social, Academic, and Emotional Behavior Risk Screener (SAEBRS) has been put forth as a technically adequate screener. Researchers…
Descriptors: Screening Tests, At Risk Persons, Test Validity, Test Reliability
McDonnell, Christina G.; DeLucia, Elizabeth A.; Hayden, Elizabeth P.; Anagnostou, Evdokia; Nicolson, Rob; Kelley, Elizabeth; Georgiades, Stelios; Liu, Xudong; Stevenson, Ryan A. – Journal of Autism and Developmental Disorders, 2020
Although autism spectrum disorder (ASD) is associated with significant mental health concerns, little is known about suicidality, particularly among youth. To address this critical gap in the literature, the current study examined the predictive validity of (1) demographics, (2) core autism symptoms, (3) cognitive abilities and adaptive behavior,…
Descriptors: Suicide, Pervasive Developmental Disorders, Predictive Validity, At Risk Persons
Abar, Caitlin C.; Farnett, Sarah; Mendola, Kayla; Sarra, Sharon; Clark, Gabrielle – Journal of American College Health, 2021
Objective: This study developed and tested new measures of youth perceptions of parental active efforts to track their activities during adolescence and college. Participants and Methods: Between March and October 2016, a sample of 314 college students aged 18-25 completed a survey including their perceptions of their parent's active tracking…
Descriptors: Health Behavior, Parent Child Relationship, Disclosure, Parenting Styles
Rajan, Vinaya; Konishi, Haruka; Ridge, Katherine; Houston, Derek M.; Golinkoff, Roberta Michnick; Hirsh-Pasek, Kathy; Eastman, Nancy; Schwartz, Richard G. – Journal of Child Language, 2019
Several aspects of early language skills, including parent-report measures of vocabulary, phoneme discrimination, speech segmentation, and speed of lexical access predict later childhood language outcomes. To date, no studies have examined the long-term predictive validity of novel word learning. We examined whether individual differences in novel…
Descriptors: Language Skills, Vocabulary Development, Receptive Language, Predictive Validity
Rajan, Vinaya; Konishi, Haruka; Ridge, Katherine; Houston, Derek M.; Golinkoff, Roberta Michnick; Hirsh-Pasek, Kathy; Eastman, Nancy; Schwartz, Richard G. – Grantee Submission, 2019
Several aspects of early language skills, including parent-report measures of vocabulary, phoneme discrimination, speech segmentation, and speed of lexical access predict later childhood language outcomes. To date, no studies have examined the long-term predictive validity of novel word learning. We examined whether individual differences in novel…
Descriptors: Language Skills, Vocabulary Development, Receptive Language, Predictive Validity
Kapoor, Hansika; Khan, Azizuddin – Creativity Research Journal, 2016
Although the dark side of creativity and negative creativity are shaping into legitimate subconstructs, measures to assess the same remain to be validated. To meet this goal, two studies assessed the convergent, predictive, and criterion-related validities of two valence-inclusive creativity measures. One measure assessed the self-report…
Descriptors: Creativity, Measurement, Creativity Tests, Test Validity
Sun, Peijian Paul; Zhang, Lawrence Jun; Gray, Susan M. – Asia-Pacific Education Researcher, 2016
Language learning strategies have drawn researchers' substantial attention since Rubin's (1975) and Stern's (1975) studies on "good language learners". Nevertheless, research pertaining to speaking strategies is inadequate, especially in relation to learning Chinese as second/foreign language (CSL/CFL). This study, therefore, seeks to…
Descriptors: Chinese, Second Language Learning, Second Language Instruction, Correlation
Chiang, Hanley; McCullough, Moira; Lipscomb, Stephen; Gill, Brian – National Center for Education Evaluation and Regional Assistance, 2016
States and districts need ways of measuring principal performance that correctly identify effective principals. Unfortunately, existing research offers little guidance to policymakers on which types of performance measures provide valid information about principals' contributions to student achievement. States have therefore had to develop…
Descriptors: Scores, Academic Achievement, Principals, Administrator Effectiveness
The Roles of Suprasegmental Features in Predicting English Oral Proficiency with an Automated System
Kang, Okim; Johnson, David – Language Assessment Quarterly, 2018
Suprasegmental features have received growing attention in the field of oral assessment. In this article we describe a set of computer algorithms that automatically scores the oral proficiency of non-native speakers using unconstrained English speech. The algorithms employ machine learning and 11 suprasegmental measures divided into four groups…
Descriptors: Suprasegmentals, Predictive Validity, Predictor Variables, Oral English

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