Validation of the Mathematical Modeling Attitude Scale for Malaysian Mathematics Teachers

Autor/inn/en	Hidayat, Riyan; Idris, Wan Izani Wan; Qudratuddarsi, Hilman; Rahman, Muhamad Nazri Abdul
Titel	Validation of the Mathematical Modeling Attitude Scale for Malaysian Mathematics Teachers
Quelle	In: EURASIA Journal of Mathematics, Science and Technology Education, 17 (2021) 12, (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Hidayat, Riyan)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1305-8223
Schlagwörter	Factor Analysis; Student Motivation; Student Interests; Constructivism (Learning); Factor Structure; Attitude Measures; Mathematical Models; Teacher Attitudes; Validity; Reliability; Case Studies; Mathematics Teachers; Elementary Secondary Education; Foreign Countries; Mathematics Instruction; Malaysia + Suchen Sie Ihr Suchwort? Faktorenanalyse; Schulische Motivation; Studieninteresse; Faktorenstruktur; Mathematical model; Mathematisches Modell; Lehrerverhalten; Gültigkeit; Reliabilität; Case study; Fallstudie; Case Study; Mathematics; Teacher; Teachers; Mathematik; Lehrer; Lehrerin; Lehrende; Ausland; Mathematics lessons; Mathematikunterricht
Abstract	This work sets out to examine the validity and reliability of the Mathematical Modeling Attitude Scale (MMAS), a instrument measuring teachers' attitude towards mathematical modeling. A cross-sectional survey research was utilised to describe the validity and reliability of the MMAS. The population of the present study focused on Malaysian mathematics teacher in primary and secondary schools (N = 171) and this was achieved using convenience sampling. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and Rasch analysis were utilised in analysing the data in the present work. EFA revealed that the data from the teachers had a four-factor structure: constructivism, relevance and real-life, understanding and motivation and interest. The CFA confirmed that the model fit indices established the four-factor structure of the first- and second-order model. Although the Rasch analysis generally supported the finding of EFA and CFA, there was still room for improvement in terms of the rating scale and DIF criterion. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01