Applied Research on English Language, Volume (9), No (2), Year (2019-11) , Pages (1-28)

Title : ( Language Learners Imagined Communities: Model and Questionnaire Development in the Iranian Context )

Authors: Nahid Soltanian , Zargham Ghabanchi , Reza Pishghadam ,

Citation: BibTeX | EndNote

Abstract

This study aimed to overcome the researchers extreme attention to essentially qualitative methods in research on language learners imagined communities and move towards quantification in order to achieve a more tangible image of this construct. To do so, the present researchers followed three main phases. First, a hypothesized model of language learners imagined communities with eight components was developed for the Iranian context based on the wide-ranging readings of the literature on imagined communities, consultations with experts and interviews with language learners. Second, a questionnaire was developed and validated based on the model to represent its components. Finally, the data collected through the questionnaire were fed into the model to see to what extent the model fit the data. The initial results showed poor values; however, the model was trimmed by removing one item from the questionnaire, and final statistical indices showed that the model was fit.

Keywords

, Imagined Communities, Model, Questionnaire, Iran, Validity, Reliability
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@article{paperid:1077117,
author = {Soltanian, Nahid and Ghabanchi, Zargham and Pishghadam, Reza},
title = {Language Learners Imagined Communities: Model and Questionnaire Development in the Iranian Context},
journal = {Applied Research on English Language},
year = {2019},
volume = {9},
number = {2},
month = {November},
issn = {2252-0198},
pages = {1--28},
numpages = {27},
keywords = {Imagined Communities; Model; Questionnaire; Iran; Validity; Reliability},
}

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%0 Journal Article
%T Language Learners Imagined Communities: Model and Questionnaire Development in the Iranian Context
%A Soltanian, Nahid
%A Ghabanchi, Zargham
%A Pishghadam, Reza
%J Applied Research on English Language
%@ 2252-0198
%D 2019

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