2015
DOI: 10.1080/09588221.2014.1000931
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Validating a computer-assisted language learning attitude instrument used in Iranian EFL context: an evidence-based approach

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Cited by 29 publications
(19 citation statements)
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References 49 publications
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“…The advantage of this framework is that research findings can be organized into a "cohesive treatment" for validation of a psychometric instrument (Aryadoust, 2013, p. 12). In greater detail, this framework consists of inferences made from the data, the evidence supporting these inferences, any assumptions being made, and the justifications for these assumptions (Aryadoust, Mehran, & Alizadeh, 2014). Hence, for the purpose of this study, we assert:…”
Section: Building P-baq's Validity Argumentmentioning
confidence: 98%
See 1 more Smart Citation
“…The advantage of this framework is that research findings can be organized into a "cohesive treatment" for validation of a psychometric instrument (Aryadoust, 2013, p. 12). In greater detail, this framework consists of inferences made from the data, the evidence supporting these inferences, any assumptions being made, and the justifications for these assumptions (Aryadoust, Mehran, & Alizadeh, 2014). Hence, for the purpose of this study, we assert:…”
Section: Building P-baq's Validity Argumentmentioning
confidence: 98%
“…This resulted in an initial pool of 100 English language items, which was reduced after ambiguous/imprecise items were removed (see Aryadoust et al, 2014, for more details of such a process). This refined item pool was then submitted to a panel of five experts -two with PhD in applied linguistics or educational/instructional technology and three PhD candidates in applied linguistics or English.…”
Section: Developing P-baqmentioning
confidence: 99%
“…A five-part questionnaire was used to explore learners' attitudes toward CALL. The first three parts were developed by Aryadoust, Mehran, and Alizadeh (2015). The last part of the questionnaire was designed by Lee (2010) and translated into Persian (back-translation was done to verify the accuracy of the items).…”
Section: Methodsmentioning
confidence: 99%
“…Aryadoust, Mehran, and Alizadeh (2015) validated CALLAI (CALL attitude instrument). The structure of the questionnaire was grounded on affective, behavioral, and language skills components.…”
Section: Instrumentsmentioning
confidence: 99%