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Meihua Liu; Zhangwei Chen – Asia-Pacific Education Researcher, 2024
The present large-scale quantitative study investigated the predictive effects of learning strategies and styles on Chinese undergraduate students' English achievement and their mediating effects on each other's relation to English achievement. A total of 439 students from different universities answered the 30-item Perceptual Learning Style…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Learning Strategies
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Katherine E. Castellano; Daniel F. McCaffrey; Joseph A. Martineau – Educational Measurement: Issues and Practice, 2025
Growth-to-standard models evaluate student growth against the growth needed to reach a future standard or target of interest, such as proficiency. A common growth-to-standard model involves comparing the popular Student Growth Percentile (SGP) to Adequate Growth Percentiles (AGPs). AGPs follow from an involved process based on fitting a series of…
Descriptors: Student Evaluation, Growth Models, Student Educational Objectives, Educational Indicators
Jing Liu; Megan Kuhfeld; Monica Lee – Annenberg Institute for School Reform at Brown University, 2023
Noncognitive constructs such as self-efficacy, social awareness, and academic engagement are widely acknowledged as critical components of human capital, but systematic data collection on such skills in school systems is complicated by conceptual ambiguities, measurement challenges and resource constraints. This study addresses this issue by…
Descriptors: Student Behavior, Predictor Variables, Predictive Validity, Academic Achievement
Marini, Jessica P.; Westrick, Paul A.; Shaw, Emily J. – College Board, 2021
The purpose of this study is to understand how well the national SAT Validity Study results (Westrick et al., 2019), which is based on the entering class of 2017, generalize to other cohorts of students and how well the SAT predicts longer term outcomes beyond first-year grade point average (FYGPA) and second-year retention. Results show that the…
Descriptors: College Entrance Examinations, Predictor Variables, Academic Achievement, Grade Point Average
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Jacqueline M. Caemmerer; Stephanie Ruth Young; Danika Maddocks; Natalie R. Charamut; Eunice Blemahdoo – Journal of Psychoeducational Assessment, 2024
In order to make appropriate educational recommendations, psychologists must understand how cognitive test scores influence specific academic outcomes for students of different ability levels. We used data from the WISC-V and WIAT-III (N = 181) to examine which WISC-V Index scores predicted children's specific and broad academic skills and if…
Descriptors: Predictor Variables, Academic Achievement, Intelligence Tests, Children
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Ghadah Albarqi – International Journal of Language Testing, 2025
The Elicited Imitation Test (EIT) is widely recognized for its reliability in research settings as a proficiency assessment tool. However, there exists a need to examine its predictive validity in English as a Foreign Language (EFL) classrooms. This study investigates the extent to which the EIT, alongside the Oxford Placement Test (OPT), can…
Descriptors: Language Tests, Imitation, Second Language Learning, Second Language Instruction
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Isaacs, Talia; Hu, Ruolin; Trenkic, Danijela; Varga, Julia – Language Testing, 2023
The COVID-19 pandemic has changed the university admissions and proficiency testing landscape. One change has been the meteoric rise in use of the fully automated Duolingo English Test (DET) for university entrance purposes, offering test-takers a cheaper, shorter, accessible alternative. This rapid response study is the first to investigate the…
Descriptors: Predictive Validity, Educational Technology, Handheld Devices, Language Tests
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Zhang, Charlene; Kuncel, Nathan R. – Educational Measurement: Issues and Practice, 2020
Measures of biographical data, or biodata, provide indicators of one's life history and past experiences. Biodata information is often available in various forms during processes of academic admissions to higher education. Such information can be used, in combination with other factors, to predict students' future academic and extra-curricular…
Descriptors: Meta Analysis, Biographical Inventories, Scores, Predictor Variables
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Alkushi, Abdulmohsen; Althewini, Abdulaziz – International Education Studies, 2020
Admission criteria can be used to predict Saudi student performance in college, but significant differences across several studies exists. This study explores the predictive power of admission criteria for college assignment using King Saud bin Abdulaziz University for Health Sciences as a model. Scores from high school and standardized tests were…
Descriptors: Predictive Validity, Admission Criteria, College Admission, Grades (Scholastic)
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Lee, Jihyun; Zhang, Yang; Stankov, Lazar – Educational Assessment, 2019
This study aims to identify which socio-economic status (SES) variables have the best predictive validity for academic achievement, based on the international data sets of the Programme for International Student Assessment (PISA) in 2012, 2009, 2006, and 2003. From among 10 SES measures, two composite variables - Index of economic, social and…
Descriptors: Predictive Validity, Socioeconomic Status, Academic Achievement, Predictor Variables
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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
Grace, Jamila – ProQuest LLC, 2017
Practical nurses can provide quality, cost-effective care in an ever-changing health care setting which is faced with a shortage of nurses. A community college system in the southeastern area of the United States began using the Test of Essential Academic Skills (TEAS) V as part of admission criteria for nursing programs. While Assessment…
Descriptors: Correlation, Nursing Education, Nursing Students, Student Evaluation
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van Ooijen-van der Linden, Linda; van der Smagt, Maarten J.; Woertman, Liesbeth; te Pas, Susan F. – Assessment & Evaluation in Higher Education, 2017
Prediction accuracy of academic achievement for admission purposes requires adequate "sensitivity" and "specificity" of admission tools, yet the available information on the validity and predictive power of admission tools is largely based on studies using correlational and regression statistics. The goal of this study was to…
Descriptors: Bias, Perception, Theories, Admission Criteria
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Avsec, Stanislav; Szewczyk-Zakrzewska, Agnieszka – International Journal of Technology and Design Education, 2017
This paper aims to investigate the predictive validity of learning styles on academic achievement and technological literacy (TL). For this purpose, secondary school students were recruited (n = 150). An empirical research design was followed where the TL test was used with a learning style inventory measuring learning orientation, processing…
Descriptors: Predictor Variables, Academic Achievement, Technological Literacy, Secondary School Students
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Penk, Christiane; Richter, Dirk – Educational Assessment, Evaluation and Accountability, 2017
Since the turn of the century, an increasing number of low-stakes assessments (i.e., assessments without direct consequences for the test-takers) are being used to evaluate the quality of educational systems. Internationally, research has shown that low-stakes test results can be biased due to students' low test-taking motivation and that…
Descriptors: Test Wiseness, Student Motivation, Academic Achievement, Cognitive Tests
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