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      Adaptation and validation of a computer-assisted language learning attitude questionnaire in a Vietnamese EFL context: A comparison between online and paper modes of administration

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          Abstract

          The article reports on the validation of a computer-assisted language learning (CALL) attitude questionnaire and discusses differences between online and paper modes of administration, drawing on a sample of 1,769 Vietnamese undergraduates. Exploratory and confirmatory factor analyses were conducted to explore and assess the factor structure of the CALL instrument and specify the equivalence between the two versions of the questionnaire. Rasch model analysis was used to evaluate the overall fit and construct uni-dimensionality of the instrument. The findings of the study suggested a six-factor structure for the adapted questionnaire as well as both reliability and validity in the Vietnamese context. No significant difference was found between the two modes of administration as regards the construct and item levels of the questionnaire, although the paper-version was superior to the online version according to results from the Rasch model analysis. Hence, the instrument can be used in online and paper modes to measure Vietnamese tertiary students’ attitudes to the integration of technology into language learning. The study finds that further research is called for if the two modes of administration of the questionnaire are used in other contexts for teaching English as a foreign language (EFL).

          Abstract

          Computer-assisted language learning; Validity; Rasch analysis; Attitude; Confirmatory factor analysis; Exploratory factor analysis.

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          Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology

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            Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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              Comparative fit indexes in structural models.

              P. Bentler (1990)
              Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model. A drawback of existing indexes is that they estimate no known population parameters. A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models. Two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes. CFI avoids the underestimation of fit often noted in small samples for Bentler and Bonett's (1980) normed fit index (NFI). FI is a linear function of Bentler and Bonett's non-normed fit index (NNFI) that avoids the extreme underestimation and overestimation often found in NNFI. Asymptotically, CFI, FI, NFI, and a new index developed by Bollen are equivalent measures of comparative fit, whereas NNFI measures relative fit by comparing noncentrality per degree of freedom. All of the indexes are generalized to permit use of Wald and Lagrange multiplier statistics. An example illustrates the behavior of these indexes under conditions of correct specification and misspecification. The new fit indexes perform very well at all sample sizes.
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                Author and article information

                Contributors
                Journal
                Heliyon
                Heliyon
                Heliyon
                Elsevier
                2405-8440
                16 June 2022
                June 2022
                16 June 2022
                : 8
                : 6
                : e09743
                Affiliations
                [a ]Doctoral School of Education, University of Szeged, Hungary
                [b ]Institute of Education, University of Szeged, MTA-SZTE Digital Learning Technologies Research Group, Hungary
                Author notes
                []Corresponding author. habok@ 123456edpsy.u-szeged.hu
                Article
                S2405-8440(22)01031-3 e09743
                10.1016/j.heliyon.2022.e09743
                9218149
                35756130
                8741ba8e-42f2-468f-a2b8-17959914b07d
                © 2022 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 6 January 2022
                : 2 May 2022
                : 14 June 2022
                Categories
                Research Article

                computer-assisted language learning,validity,rasch analysis,attitude,confirmatory factor analysis,exploratory factor analysis

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