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Autor/inn/enFaber, Günter; Drexler, Heike
TitelPredicting Education Science Students' Statistics Anxiety: The Role of Prior Experiences within a Framework of Domain-Specific Motivation Constructs
QuelleIn: Higher Learning Research Communications, 9 (2019) 1, (16 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN2157-6254
SchlagwörterStatistics; Mathematics Anxiety; Prior Learning; Student Motivation; Self Concept; Predictor Variables; Preservice Teachers; Cognitive Processes; Graduate Students; Special Education
AbstractBased on a cognitive--motivational modeling of construct relations, this study analyzed the role of prior statistics experiences within a framework of domain-specific self-concept and value variables to predict education science students' statistics anxiety. Data were analyzed from two independent samples comprising 113 and 87 participants--using the passing of a statistics exam as the experience measure in each case. In both samples, the results of three-way analyses of variance demonstrated students' statistics anxiety to be substantially explained by their negative utility value and self-concept but only to a minor extent by their prior statistics experiences. Students' statistics anxiety appeared to be dependent on value and self-concept scores across all experience levels. Though producing somewhat varying effect patterns, the findings from both samples led to similar effects, indicating the crucial role of self-belief variables. Results are discussed in terms of conceptual, methodological, and instructional implications. (As Provided).
AnmerkungenLaureate Education, Inc. 650 South Exeter Street #12, Baltimore, MD 21202. Tel: 410-843-6100; e-mail: hlrceditor@laureate.net; Web site: http://www.hlrcjournal@laureate.net
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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