2022
DOI: 10.1186/s40468-022-00166-5
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Reliability of measuring constructs in applied linguistics research: a comparative study of domestic and international graduate theses

Abstract: The credibility of conclusions arrived at in quantitative research depends, to a large extent, on the quality of data collection instruments used to quantify language and non-language constructs. Despite this, research into data collection instruments used in Applied Linguistics and particularly in the thesis genre remains limited. This study examined the reported reliability of 211 quantitative instruments used in two samples of domestic and international theses in Applied Linguistics. The following qualities… Show more

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Cited by 3 publications
(3 citation statements)
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“…The formulation component processes the planning product and assembles it into a language form. This includes separate lexical, grammatical, and phonological operations that seem to be relatively independent, but the exact relationship of which has not been fully elucidated (Razavipour and Raji, 2022).…”
Section: Resultsmentioning
confidence: 99%
“…The formulation component processes the planning product and assembles it into a language form. This includes separate lexical, grammatical, and phonological operations that seem to be relatively independent, but the exact relationship of which has not been fully elucidated (Razavipour and Raji, 2022).…”
Section: Resultsmentioning
confidence: 99%
“…On the other hand, validity examines the accuracy of measurement, ensuring that the tests effectively measure the intended constructs (Middleton, 2022). Both reliability and validity are fundamental aspects of quantitative analytical approaches (Razavipour and Raji, 2022).…”
Section: Methodsmentioning
confidence: 99%
“…Cronbach’s alpha is arguably the most common index of internal-consistency reliability in L2 research (as suggested by Plonsky & Derrick, 2016; Razavipour & Raji, 2022). Notably, Cronbach’s alpha remains popular despite a number of rigid assumptions that should be tenable for a reliability estimate based on alpha to be trustworthy (i.e., assumptions of unidimensionality, tau-equivalence, uncorrelated errors, and normal distribution of continuous variables); if these assumptions are not upheld, the estimate will not be accurate (as maintained by McNeish, 2018).…”
Section: Assessing Scale Qualitymentioning
confidence: 99%