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Pentimonti, Jill M.; Bowles, Ryan P.; Zucker, Tricia A.; Tambyraja, Sherine R.; Justice, Laura M. – Grantee Submission, 2021
Measuring the quality of classroom-based interactive shared book reading within the early childhood classroom represents a specific dimension of teacher-child interactions that is of great interest to researchers. This interest reflects decades of research demonstrating the benefit of reading to young children in both the home and the classroom.…
Descriptors: Standardized Tests, Test Construction, Construct Validity, Predictive Validity
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Credé, Marcus; Tynan, Michael C. – Journal for the Psychology of Language Learning, 2021
Grit is theoretically defined as the combination of perseverance and passion for long term goals. Both of these constructs are likely to be relevant for our understanding of how language acquisition occurs and for explaining between-person differences in the rate of language acquisition. Despite this relevance, there are methodological and…
Descriptors: Second Language Learning, Persistence, Predictive Validity, Goal Orientation
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Razmi, Mohammad Hasan; Khabir, Masoud; Tilwani, Shouket Ahmad – International Journal of Language Testing, 2021
Since its inception in 1949, over 1,500 studies have investigated the validity of the GRE General Test to predict its performance criteria in higher education (Klieger, Bridgeman, Tannenbaum, & Cline, 2016). The present review paper sought to examine the predictive validity of the GRE General Test. Factors affecting the predictive validity…
Descriptors: Meta Analysis, Predictive Validity, College Entrance Examinations, Graduate Study
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Kim, Dan; Opfer, John E. – Cognitive Science, 2021
Perceptual judgments result from a dynamic process, but little is known about the dynamics of number-line estimation. A recent study proposed a computational model that combined a model of trial-to-trial changes with a model for the internal scaling of discrete numbers. Here, we tested a surprising prediction of the model--a situation in which…
Descriptors: Numbers, Computation, Children, Adults
Kim, Dan; Opfer, John E. – Grantee Submission, 2021
Perceptual judgments result from a dynamic process, but little is known about the dynamics of number-line estimation. A recent study proposed a computational model that combined a model of trial-to-trial changes with a model for the internal scaling of discrete numbers. Here, we tested a surprising prediction of the model--a situation in which…
Descriptors: Numbers, Computation, Children, Adults
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Petronzi, Dominic; Staples, Paul; Sheffield, David; Hunt, Thomas E.; Fitton-Wilde, Sandra – Educational Studies in Mathematics, 2019
There are currently many mathematics anxiety rating scales designed typically for adult and older children populations, yet there remains a lack of assessment tools for younger children (< 7 years of age) despite a recent focus on this age range. Following previous testing and validation, the 26-item iteration of the Children's Mathematics…
Descriptors: Anxiety, Mathematics Anxiety, Rating Scales, Young Children
Forzani, Elena; Leu, Donald J.; Li, Eva Yujia; Rhoads, Christopher; Guthrie, John T.; McCoach, Betsy – Grantee Submission, 2020
Motivation for reading is important to comprehension and has been studied extensively in offline reading contexts. However, we know little about the role of motivation in online reading, a new and increasingly important context for reading. This is largely because we lack valid and reliable instruments to estimate a student's motivation for online…
Descriptors: Reading Motivation, Grade 7, Student Motivation, Electronic Publishing
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Agar-Newman, Dana J.; Tsai, Ming-Chang; Klimstra, Marc – Measurement in Physical Education and Exercise Science, 2020
To evaluate if takeoff speed can be predicted using peak-speed from a linear position transducer (LPT), 21 rowing athletes performed hexagonal-bar jumps in line with the National Team testing protocol. Predictive validity was assessed by comparing peak-speed from a LPT to the criterion measure takeoff speed collected from force plates. The…
Descriptors: Physical Activities, Athletes, Predictive Validity, Measurement Equipment
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D'Argembeau, Arnaud; Garcia Jimenez, Claudia – Applied Cognitive Psychology, 2020
Prospection is associated, in varying degrees, with a sense that imagined events will (or will not) happen in the future--referred to as "belief in future occurrence." The present research investigated to what extent this belief is justified and predicts the actual occurrence of events in the future. In two studies, participants rated…
Descriptors: Predictive Validity, Beliefs, Futures (of Society), Probability
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Schoefl, Martin; Seifert, Susanne; Steinmair, Gabriele; Weber, Christoph – Journal of Psychoeducational Assessment, 2023
Rapid automatized naming (RAN) powerfully predicts word-level reading fluency in the first 2 years of school as well as further reading development. Here, we analyze various RAN stimuli (objects and digits) and oral/silent word reading (OWR/SWR) modalities to find feasible measures for predicting early reading development. The RAN performances of…
Descriptors: Naming, Reading Fluency, Oral Reading, Grade 1
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David F. Feldon; Kaylee Litson; Brinleigh Cahoon; Zhang Feng; Andrew Walker; Colby Tofel-Grehl – Journal of Higher Education, 2024
This meta-analysis assesses the predictive validity of the Graduate Record Examination (GRE) across outcome variables, including grade point average, for graduate students. In addition to aggregate effects, this paper also assessed changes in observed effects over time as related to increasing diversity in the graduate student population and as a…
Descriptors: College Entrance Examinations, Graduate Study, Diversity, Gender Differences
Jeremiah T. Stark – ProQuest LLC, 2024
This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…
Descriptors: High School Students, Graduation Rate, Predictor Variables, Predictive Validity
Kathleen Lynne Lane; Wendy Peia Oakes; Mark Matthew Buckman; Nathan Allen Lane; Katie Scarlett Lane; Kandace Fleming; Rebecca E. Swinburne Romine; Rebecca L. Sherod; Chi-Ning Chang; Emily Dawn Cantwell – Behavioral Disorders, 2024
In this article, we examined predictive validity of the newly defined "Student Risk Screening Scale--Internalizing and Externalizing" (SRSS-IE 9, with nine items) when used by teachers for the first time, with a sample of 24,535 elementary students from 74 schools in four U.S. geographic regions. Results indicated fall externalizing and…
Descriptors: Screening Tests, Predictive Validity, At Risk Students, Scores
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Primi, Ricardo; De Fruyt, Filip; Santos, Daniel; Antonoplis, Stephen; John, Oliver P. – International Journal of Testing, 2020
What type of items, keyed positively or negatively, makes social-emotional skill or personality scales more valid? The present study examines the different criterion validities of true- and false-keyed items, before and after correction for acquiescence. The sample included 12,987 children and adolescents from 425 schools of the State of São Paulo…
Descriptors: Social Development, Emotional Development, Rating Scales, Test Validity
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Naser, Shereen C.; Dever, Bridget V. – Journal of Psychoeducational Assessment, 2020
Universal screening for behavioral and emotional risk is an important part of implementing multi-tiered behavioral supports in schools. The current study adds to our understanding of universal screening by examining teacher and student reports of behavioral and emotional risk. Participants included 73 fourth-grade students and 4 teachers in an…
Descriptors: Screening Tests, Behavior Rating Scales, Test Reliability, Test Validity
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