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Autor/inn/enHamilton, Valerie; Onder, Yasemin; Andzik, Natalie R.; Reeves, Todd D.
TitelDo Data-Driven Decision-Making Efficacy and Anxiety Inventory Scores Mean the Same Thing for Pre-Service and In-Service Teachers?
QuelleIn: Journal of Psychoeducational Assessment, 40 (2022) 4, S.482-498 (17 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Reeves, Todd D.)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0734-2829
DOI10.1177/07342829211069220
SchlagwörterData Use; Decision Making; Anxiety; Self Efficacy; Measures (Individuals); Validity; Technology Uses in Education; Teachers; Preschool Education; Elementary Secondary Education; Reliability
AbstractTeacher data-driven decision making (DDDM) is a professional practice of great prominence in the current K-12 education system. Moreover, teacher self-efficacy and anxiety around DDDM represent important measurement targets in both research and practice. This study consequently examined the validity, reliability, and invariance of data collected via the Data-Driven Decision-Making Efficacy and Anxiety (3D-MEA) Inventory among U.S. in-service (N = 365) and pre-service (N = 457) teachers. The 3D-MEA is intended to measure four dimensions of self-efficacy related to DDDM, as well as anxiety related to DDDM. Multi-group confirmatory factor analyses established structural measurement invariance, which supports meaningful and effectively interchangeable interpretation of 3D-MEA scores with both in-service and pre-service teachers. Reliability estimates were also high in both populations. Limitations and future directions are discussed. (As Provided).
AnmerkungenSAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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