A Mixture Rasch Model Analysis of Data from a Survey of Novice Teacher Core Competencies

Autor/inn/en	Toker, Türker; Seidel, Kent
Titel	A Mixture Rasch Model Analysis of Data from a Survey of Novice Teacher Core Competencies
Quelle	In: International Journal of Contemporary Educational Research, 10 (2023) 1, S.147-156 (11 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Toker, Türker) ORCID (Seidel, Kent)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	Item Response Theory; Beginning Teachers; Teacher Competencies; Teacher Effectiveness; Teacher Education Programs; Models; Validity + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Junior teacher; Junglehrer; Lehrkunst; Effectiveness of teaching; Instructional effectiveness; Lehrerleistung; Unterrichtserfolg; Analogiemodell; Gültigkeit
Abstract	Although the Rasch model is used to measure latent traits like attitude or ability where there are multiple latent structures within the dataset it is best to use a technique called the Mixture Rasch Model (MRM) which is a combination of a Rasch model and a latent class analysis (LCA). This study used data from a survey for teachers, teacher candidates, and teacher education program faculty with a sample of 296 candidates, 648 graduates, and 501 program faculty. Survey items based on these competencies were administered to in one Western state to ascertain how well the program candidates attended prepared them for the teaching profession. The 40 items common to surveys of the three groups were submitted to mixture Rasch analysis to determine whether distinct patterns of item response were discernible. Analyses yielded two classes which brings the construct validity of the survey into question. Results showed that the Mixture Rasch Model is and can be useful to determine subgroups for survey researchers. This research presents a demonstration of usefulness of the Mixture Rasch Model for the analysis of survey data. (As Provided).
Anmerkungen	International Journal of Contemporary Educational Research. e-mail: ijceroffice@gmail.com; Web site: http://ijcer.net
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01