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Schoepp, Kevin – Higher Education Quarterly, 2018
As access to a university education has increased globally, there have also been increases in the number of universities that use English as a medium of instruction (EMI) and in the number of non-English-speaking students studying in English-speaking countries. Correspondingly, the English language proficiency of students studying in EMI…
Descriptors: Predictive Validity, Language of Instruction, English (Second Language), Second Language Learning
Romig, John Elwood; Therrien, William J.; Lloyd, John W. – Journal of Special Education, 2017
We used meta-analysis to examine the criterion validity of four scoring procedures used in curriculum-based measurement of written language. A total of 22 articles representing 21 studies (N = 21) met the inclusion criteria. Results indicated that two scoring procedures, correct word sequences and correct minus incorrect sequences, have acceptable…
Descriptors: Meta Analysis, Curriculum Based Assessment, Written Language, Scoring Formulas
Hawthorne, Katrice A.; Bol, Linda; Pribesh, Shana – Journal of Experimental Education, 2017
Rubric-referenced calibration and the interaction between writing achievement and calibration, a measure of the relationship between one's performance and the accuracy of one's judgments, were investigated. Undergraduate students (N = 596) were assigned to one of three calibration conditions: (a) global, (b) global and general criteria, or (c)…
Descriptors: Accuracy, Writing Exercises, Task Analysis, Scoring Rubrics
Zhang, Li-fang; Evans, Carol; Postiglione, Gerard A. – Educational Psychology, 2017
This research investigated the statistical predictive power of organisational commitments for academics' teaching approaches. Participants were 268 academics working in six elite universities in Beijing, mainland China. Results showed that academics' organisational commitments as measured by the Organisational Commitment Inventory significantly…
Descriptors: Foreign Countries, College Faculty, Colleges, Teacher Attitudes
Ramanarayanan, Vikram; Lange, Patrick; Evanini, Keelan; Molloy, Hillary; Tsuprun, Eugene; Qian, Yao; Suendermann-Oeft, David – ETS Research Report Series, 2017
Predicting and analyzing multimodal dialog user experience (UX) metrics, such as overall call experience, caller engagement, and latency, among other metrics, in an ongoing manner is important for evaluating such systems. We investigate automated prediction of multiple such metrics collected from crowdsourced interactions with an open-source,…
Descriptors: Automation, Prediction, Man Machine Systems, Open Source Technology
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
Stutz, Franziska; Schaffner, Ellen; Schiefele, Ulrich – Journal of Research in Reading, 2017
In order to initiate more research on the role of reading motivation during the initial stages of learning to comprehend texts, we developed the "Reading Motivation Questionnaire for Elementary Students" (RMQ-E). The sample comprised 1497 elementary students in Grades 1-3. By means of exploratory and confirmatory factor analyses, three…
Descriptors: Questionnaires, Reading Motivation, Elementary School Students, Test Validity
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
Sánchez-Rosas, Javier; Furlan, Luis Alberto – International Journal of Educational Psychology, 2017
Based on the control-value theory of achievement emotions and theory of achievement goals, this research provides evidence of convergent, divergent, and criterion validity of the Spanish Cognitive Test Anxiety Scale (S-CTAS). A sample of Argentinean undergraduates responded to several scales administered at three points. At time 1 and 3, the…
Descriptors: Foreign Countries, Undergraduate Students, Academic Achievement, Psychological Patterns
von der Embse, Nathaniel P.; Kilgus, Stephen P.; Iaccarino, Stephanie; Levi-Nielsen, Shana – School Mental Health, 2017
Schools have become the largest provider of mental health services to children, thus increasing the need to identify children at risk before problems worsen. The Social, Academic, and Emotional Behavioral Risk Screener-Student Rating Scale (SAEBRS-SRS) student version is a universal screener that assesses pre-symptomology of internalizing and…
Descriptors: Screening Tests, Middle School Students, Mental Health, Clinical Diagnosis
Fan, Jinsong; Yan, Xun – Asia-Pacific Education Researcher, 2017
Despite the profusion of studies into the factor structure of language tests, limited research is currently available on the relationship between test performance and language use in TLU domains. Utilizing the structural equation modeling approach, this study set out to investigate the factor structure of a high-stakes university-based English…
Descriptors: Language Proficiency, English (Second Language), Second Language Instruction, Structural Equation Models
Emam, Mahmoud Mohamed – Emotional & Behavioural Difficulties, 2018
Identification of children who exhibit emotional and behavioural difficulties (EBDs) has been prioritized in several countries in the Middle East and North Africa (MENA) region including Oman. Research showed that cognitive attribution processes are biased and defective in atypical populations such as students with learning disabilities (LD). The…
Descriptors: Predictor Variables, Emotional Disturbances, Behavior Problems, Learning Disabilities
Shapira-Lishchinsky, Orly; Raftar-Ozery, Tehila – Educational Management Administration & Leadership, 2018
The goal of this study was to explore the mediating role of 'absenteeism acceptance' between different leadership styles and school ethical climate (SEC) on organizational citizenship behaviors (OCB) and voluntary absence among Israeli teachers. 304 teachers were randomly selected from 304 different mainstream and special-education schools. The…
Descriptors: Leadership Styles, Ethics, Teacher Attendance, Attendance
Diamond, Mark R.; O'Brien-Malone, Angela – Asia Pacific Journal of Education, 2018
Although diversity at universities has increased dramatically over the past 150 years, many groups are still under-represented relative to their proportion in the general population. Initiatives to improve diversity have included the increased use of entry pathways other than direct admission from secondary school. As admissions via these…
Descriptors: Access to Education, College Bound Students, College Admission, Admission Criteria
Fryer, Luke K.; Ginns, Paul; Howarth, Mark; Anderson, Charles; Ozono, Shuichi – Educational Psychology, 2018
Individual differences are theorised as being key predictors of students' lecture attendance. Understanding students' (lack of) motivation for studying is an essential first step in supporting these individual differences and potentially increasing class/lecture attendance. The current study explored the role of students' deficits in motivations…
Descriptors: Attendance, Individual Differences, Student Motivation, Self Concept