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Prasad, Joshua J.; Showler, Morgan B.; Schmitt, Neal; Ryan, Ann Marie; Nye, Christopher D. – International Journal of Testing, 2017
The present research compares the operation of situational judgement and biodata measures between Chinese and U.S. respondents. We describe the development and past research on both measures, followed by hypothesized differences across the two groups of respondents. We base hypotheses on the nature of the Chinese and U.S. educational systems and…
Descriptors: Measures (Individuals), Hypothesis Testing, Cross Cultural Studies, Comparative Analysis
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Kaufmann, Renee; Sellnow, Deanna D.; Frisby, Brandi N. – Communication Education, 2016
With the increasing popularity of online learning in higher education comes a need to examine students' perceptions about classroom climate in these environments. This two-part study proposes the online learning climate scale (OLCS) for doing so. Informed by both instructional communication and education, the scale consists of several variables…
Descriptors: Program Development, Program Validation, Rating Scales, Test Construction
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Adamu, Gishua Garba; Dawha, Josphine Musa; Kamar, Tiamiyu Salihu – Journal of Education and Practice, 2015
Mechanical Engineering Trade Skills Assessment Instrument (METSAI) is aimed at determining the extent to which students have acquired practical skills before graduation that will enable them get employment for sustainable job security in Yobe state. The study employed instrumentation research design. The populations of the study were 23 mechanical…
Descriptors: Engineering Education, Test Construction, Program Validation, Skill Analysis
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Mega, Carolina; Ronconi, Lucia; De Beni, Rossana – Journal of Educational Psychology, 2014
The authors propose a theoretical model linking emotions, self-regulated learning, and motivation to academic achievement. This model was tested with 5,805 undergraduate students. They completed the Self-Regulated Learning, Emotions, and Motivation Computerized Battery (LEM-B) composed of 3 self-report questionnaires: the Self-Regulated Learning…
Descriptors: Academic Achievement, Motivation, Active Learning, Emotional Response
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Badawood, Ashraf; Steenkamp, Annette Lerine; Al-Werfalli, Daw – Information Systems Education Journal, 2013
Blended learning (BL) provides an efficient and effective instructional experience. However, adopting a BL approach poses some challenges to faculty; the most important obstacle found in this research is faculty's lack of knowledge regarding the use of technology in their teaching. This challenge prompted the research project focused on improving…
Descriptors: Faculty Development, Blended Learning, Capacity Building, Teacher Improvement
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Karaguven, M. Hulya Unal – Educational Sciences: Theory and Practice, 2012
The current study evaluated the psychometric evidence of Turkish form of the Academic Motivation Scale. The scale was based on the tenets of self-determination theory. It was designed to assess an individual's academic motivation if intrinsically or extrinsically driven with 28 questions. University form of the scale was translated into Turkish…
Descriptors: Motivation, Measures (Individuals), Psychometrics, Correlation
Peifer, Nancy – ProQuest LLC, 2012
The purpose of this study was to contribute to the academic discussion regarding the validity of Multiple Intelligences (MI) theory through focusing on the validity of an important construct embedded in the theory, that of congruence between instructional style and preferred MI style for optimal learning. Currently there is insufficient empirical…
Descriptors: Multiple Intelligences, Psychometrics, Test Construction, Program Validation
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Yan, Jin H.; Rodriguez, Ward A.; Thomas, Jerry R. – Research Quarterly for Exercise and Sport, 2005
The purpose of this study was to determine whether data distribution changes as a result of motor skill practice or learning. The data on three dependent measures (movement time; MT), percentage of movement time in primary submovement (PSB), and movement jerk (JEK) were collected at baseline and practice Blocks 1 to 5. Sixty 6-year-olds,…
Descriptors: Psychomotor Skills, Young Children, Preadolescents, College Students