2020
DOI: 10.1111/ijpp.12600
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How to measure a latent construct: Psychometric principles for the development and validation of measurement instruments

Abstract: Measurement instruments are used to collect data about respondents. In social pharmacy, measurement instruments are often used to measure latent constructs, such as attitudes, among healthcare professionals and patients. This paper aims to describe the fundamental aspects of designing and validating instruments, which aim to measure latent constructs. The main focus of this manuscript is to describe the considerations and processes relating to exploratory and confirmatory factor analyses, when used to develop … Show more

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Cited by 56 publications
(40 citation statements)
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“…Previous KAP studies that were published used non-validated questionnaires [ 20 , 21 ]. Instruments should be validated to ensure consistency and reliability of the results obtained [ 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…Previous KAP studies that were published used non-validated questionnaires [ 20 , 21 ]. Instruments should be validated to ensure consistency and reliability of the results obtained [ 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…provides a clear outline on the importance of content validity in the validation of an instrument's appropriateness and utility. For tools focused on objective knowledge parameters, expert grading utilising a Delphi process may be a more appropriate analysis than Exploratory factor analysis or Principal component analysis when attempting to balance and reduce item themes 18,21 . Overall, after modifications and removals from the I‐CVI analysis, the questionnaire contained a uniform spread of themes including at least one item focussed on each of the seven mapped guideline areas.…”
Section: Discussionmentioning
confidence: 99%
“…The development and validation process of the Fever Management Questionnaire contained several steps based on current best practice recommendations 16,18 (Fig. 1).…”
Section: Methodsmentioning
confidence: 99%
“…It will be considered acceptable if χ 2 /df <2, comparative fit index <0.95, root mean square error of approximation <0.06 and Tucker-Lewis Index <0.95. 55…”
Section: Open Accessmentioning
confidence: 99%