Validating a computer-assisted language learning attitude instrument used in Iranian EFL context: an evidence-based approach.

Autor/inn/en	Aryadoust, Vahid; Mehran, Parisa; Alizadeh, Mehrasa
Titel	Validating a computer-assisted language learning attitude instrument used in Iranian EFL context: an evidence-based approach.
Quelle	In: Computer assisted language learning, (2016) 3, S.561 PDF als Volltext (1); PDF als Volltext (2); PDF als Volltext (3) Verfügbarkeit
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0958-8221
DOI	10.1080/09588221.2014.1000931
Schlagwörter	Rasch-Andrich rating scale model; Inference; Validity argument; Computer-assisted language learning; Factor analysis; Validity; Foreign language instruction; Attitudes; Scale models; Computer assisted instruction--CAI; Second language learning; Quantitative psychology; English as a second language--ESL
Abstract	A few computer-assisted language learning (CALL) instruments have been developed in Iran to measure EFL (English as a foreign language) learners' attitude toward CALL. However, these instruments have no solid validity argument and accordingly would be unable to provide a reliable measurement of attitude. The present study aimed to develop a CALL attitude instrument (CALLAI) to be used in the Iranian EFL context. A pool of 633 survey items was developed and 27 items were judged to be appropriate for measuring CALL attitude. The chosen items were translated and back-translated by experts and were administered to 1001 Iranian EFL learners. The psychometric features of the items were examined using three primary data analysis techniques: principal component analysis (PCA), confirmatory factor analysis (CFA), and the Rasch-Andrich rating scale model. Finally, a validity argument for CALLAI was developed which comprised five primary inferences. The findings from the psychometric analysis were mapped onto the validity framework. The validity framework is generally well-supported, although adding a few items could yield higher reliability coefficients.
Erfasst von	OLC
Update	2023/3/07