2017
DOI: 10.1177/0969733017742962
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A Second-Order Confirmatory Factor Analysis of the Moral Distress Scale-Revised for Nurses

Abstract: The Moral Distress Scale-Revised was found to be a multidimensional construct. The data obtained confirmed the hypothesis of the factor structure model with a latent second-order variable. Since the convergent and divergent validity of the scale were not confirmed in this study, further assessment is necessary in future studies.

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Cited by 34 publications
(34 citation statements)
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References 27 publications
(68 reference statements)
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“…Thus, the second-order factor analysis represented the more general concepts at secondary and upper levels (Gatignon, 2014). The second-order factor analysis was used to examine whether or not all the factors fitted the general concept of win-win (Sharif Nia et al, 2019).…”
Section: Confirmatory Factor Analysis Of the Second-order Modelmentioning
confidence: 99%
“…Thus, the second-order factor analysis represented the more general concepts at secondary and upper levels (Gatignon, 2014). The second-order factor analysis was used to examine whether or not all the factors fitted the general concept of win-win (Sharif Nia et al, 2019).…”
Section: Confirmatory Factor Analysis Of the Second-order Modelmentioning
confidence: 99%
“…The values of the coefficients Ω and α which were greater than 0.7 were acceptable (Mayers, 2013 ) whereas the AIC value between 0.2–0.4 indicated good internal consistency (Hackman et al., 2006 ). CR, which replaces Cronbach's alpha coefficient in structural equation modelling, was then evaluated, and a CR value greater than 0.7 was considered acceptable (Sharif Nia et al., 2019 ).…”
Section: Methodsmentioning
confidence: 99%
“…Coefficient's α and Ω values >0.7 (Mayers, 2013) and AIC 0.2–0.4 was considered as an acceptable internal consistency (Mohammadbeigi et al., 2015). CR and maximum reliability (Max H reliability) which replaces Cronbach's alpha coefficient in structural equation modelling was then evaluated, and value >0.7 were considered acceptable (Sharif Nia et al., 2019). The stability of the PNSASS was measured by intra‐class correlation coefficients (ICC; Javali & Gudaganavar, 2011).…”
Section: Methodsmentioning
confidence: 99%