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Showing 1 to 15 of 43 results Save | Export
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de Boer, Timon; Van Rijnsoever, Frank J. – Assessment & Evaluation in Higher Education, 2023
Prospective graduate students are usually required to have attained an undergraduate degree in a related field and high prior grades to gain admission. There is consensus that some relatedness between the students' undergraduate and graduate programs is required for admission. We propose a new measurement for this relatedness using cosine…
Descriptors: College Admission, Undergraduate Study, Graduate Study, Grades (Scholastic)
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Daller, Michael; Müller, Amanda; Wang-Taylor, Yixin – International Journal of Bilingual Education and Bilingualism, 2021
The present article gives an overview of several studies on the predictive validity of the C-test. In the first part of the article, we discuss the construct validity of this test format. Only if the underlying construct of this test is understood, can a justification for high predictive validity be made. In the second part, we discuss several…
Descriptors: Predictive Validity, Academic Achievement, Foreign Students, Graduate Students
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Vulperhorst, Jonne; Lutz, Christel; de Kleijn, Renske; van Tartwijk, Jan – Assessment & Evaluation in Higher Education, 2018
To refine selective admission models, we investigate which measure of prior achievement has the best predictive validity for academic success in university. We compare the predictive validity of three core high school subjects to the predictive validity of high school grade point average (GPA) for academic achievement in a liberal arts university…
Descriptors: Predictive Validity, Foreign Countries, Grade Point Average, Selective Admission
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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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Frans, Niek; Post, Wendy J.; Huisman, Mark; Oenema-Mostert, Ineke C. E.; Keegstra, Anne L.; Minnaert, Alexander E. M. G. – European Early Childhood Education Research Journal, 2017
Despite the claim by several researchers that variability in performance may complicate the identification of "at-risk" children, variability in the academic performance of young children remains an undervalued area of research. The goal of this study is to examine the predictive validity for future scores and the score stability of two…
Descriptors: Identification, At Risk Students, Preschool Children, Standardized Tests
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Lucieer, Susanna M.; Stegers-Jager, Karen M.; Rikers, Remy M. J. P.; Themmen, Axel P. N. – Advances in Health Sciences Education, 2016
Medical schools all over the world select applicants using non-cognitive and cognitive criteria. The predictive value of these different types of selection criteria has however never been investigated within the same curriculum while using a control group. We therefore set up a study that enabled us to compare the academic performance of three…
Descriptors: Medical Schools, Medical Students, Selective Admission, Admission Criteria
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van de Grift, Wim J. C. M.; Chun, Seyeoung; Maulana, Ridwan; Lee, Okhwa; Helms-Lorenz, Michelle – School Effectiveness and School Improvement, 2017
Six observation scales for measuring the skills of teachers and 1 scale for measuring student engagement, assessed in South Korea and The Netherlands, are sufficiently reliable and offer sufficient predictive value for student engagement. A multigroup confirmatory factor analysis shows that the factor loadings and intercepts of the scales are the…
Descriptors: Foreign Countries, Comparative Education, Teacher Effectiveness, Learner Engagement
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Stoffers, Jol M. M.; Van der Heijden, Béatrice I. J. M. – European Journal of Training and Development, 2018
Purpose: This study aims to empirically validate an innovative work behaviour-enhancing model of employability in small- and medium-sized enterprises (SMEs), and to examine possible moderating effects of age. Design/methodology/approach: Data have been collected from 487 pairs of employees and their immediate supervisors who worked in 151 SMEs.…
Descriptors: Foreign Countries, Small Businesses, Employee Attitudes, Employment Potential
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Evers, Arnoud T.; Verboon, Peter; Klaeijsen, Andrea – British Educational Research Journal, 2017
In the current study a multi-dimensional scale that measures teacher autonomous behaviour is presented. The scale is applicable across the following educational sectors: primary education, secondary education and vocational education. Based on an elaborate literature study, four theoretically relevant dimensions of teacher autonomous behaviour…
Descriptors: Foreign Countries, Test Construction, Test Validity, Rating Scales
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Sizoo, Bram B.; Horwitz, E. H.; Teunisse, J. P.; Kan, C. C.; Vissers, C. T. W. M.; Forceville, E. J. M.; Van Voorst, A. J. P.; Geurts, H. M. – Autism: The International Journal of Research and Practice, 2015
While various screening instruments for autism spectrum disorders are widely used in diagnostic assessments, their psychometric properties have not been simultaneously evaluated in the outpatient setting where these instruments are used most. In this study, we tested the Ritvo Autism Asperger Diagnostic Scale-Revised and two short versions of the…
Descriptors: Autism, Pervasive Developmental Disorders, Questionnaires, Adults
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Driessen, Geert – Educational Policy Analysis and Strategic Research, 2017
Many countries have implemented policies to prevent or combat educational disadvantage associated with socioeconomic factors in the students' home environment. Under such policies, educational institutions generally receive extra support from the central or local government. The support is normally based on indicators available in the home…
Descriptors: Educationally Disadvantaged, Educational Policy, Educational Finance, Resource Allocation
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Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
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Steenman, Sebastiaan C.; Bakker, Wieger E.; van Tartwijk, Jan W. F. – Studies in Higher Education, 2016
The first-year grade point average (FYGPA) is the predominant measure of student success in most studies on university admission. Previous cognitive achievements measured with high school grades or standardized tests have been found to be the strongest predictors of FYGPA. For this reason, standardized tests measuring cognitive achievement are…
Descriptors: Selective Admission, Grade Point Average, College Freshmen, Grade Prediction
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Maulana, Ridwan; Helms-Lorenz, Michelle – Learning Environments Research, 2016
Observations and student perceptions are recognised as important tools for examining teaching behaviour, but little is known about whether both perspectives share similar construct representations and how both perspectives link with student academic outcomes. The present study compared the construct representation of preservice teachers' teaching…
Descriptors: Preservice Teachers, Preservice Teacher Education, Student Teaching, Teaching Styles
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Helmerhorst, Katrien O. W.; Riksen-Walraven, J. Marianne; Vermeer, Harriet J.; Fukkink, Ruben G.; Tavecchio, Louis W. C. – Early Education and Development, 2014
Research Findings: High-quality caregiver-child interactions constitute the core of high-quality child care for young children. This article describes the background and development of the Caregiver Interaction Profile (CIP) scales to rate 6 key skills of caregivers for interacting with 0-to 4-year-old children in child care centers: sensitive…
Descriptors: Child Caregivers, Caregiver Child Relationship, Profiles, Rating Scales
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