2002
DOI: 10.22237/jmasm/1020255360
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The Q-Sort Method: Assessing Reliability And Construct Validity Of Questionnaire Items At A Pre-Testing Stage

Abstract: This paper describes the Q-sort, which is a method of assessing reliability and construct validity of questionnaire items at a pre-testing stage. The method uses Cohen's Kappa and Moore and Benbasat's Hit Ratio in assessing the question naire. Two examples are provided on how the method was applied in survey research.

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Cited by 129 publications
(114 citation statements)
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“…Two-thirds of the questions were correctly repurposed to the three S -M -R constructs by the two IMC expert judges, indicating support for a basic communication underpinning for the complex IMC process model. As Nahm et al (2002) explain, when using Q-Sort, researchers should examine how many items were placed by the judges into the target constructs with the overall frequency of agreement measured using Cohen ' s .…”
Section: Resultsmentioning
confidence: 99%
“…Two-thirds of the questions were correctly repurposed to the three S -M -R constructs by the two IMC expert judges, indicating support for a basic communication underpinning for the complex IMC process model. As Nahm et al (2002) explain, when using Q-Sort, researchers should examine how many items were placed by the judges into the target constructs with the overall frequency of agreement measured using Cohen ' s .…”
Section: Resultsmentioning
confidence: 99%
“…Step 2: conceptual refinement Next, we applied the Q-sort method to ensure reliability and construct validity of the questionnaire items (Nahm et al, 2002). We asked four experts with more than four years of experience in TML to sort every item according to the identified components in order to improve the comprehensibility and clarity of the items and components.…”
Section: Methodsmentioning
confidence: 99%
“…Initial reliability and construct validity testing of the 44-item scale was completed using a Q-sort 13 workshop held with six clinical supervisors and three experts in the field of CS. Participants were asked to rank each of the 44 items during this workshop on a nine-point Likert scale of agreement.…”
Section: Methodsmentioning
confidence: 99%