2020
DOI: 10.1016/j.jbusres.2019.11.069
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Assessing measurement model quality in PLS-SEM using confirmatory composite analysis

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Cited by 2,373 publications
(3,303 citation statements)
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“…Following the instructions of Hair et al (2020), we conducted confirmatory composite analysis (CCA) with reflective measurement models in PLS‐SEM (SmartPLS 3.2) to examine the reliability and validity of the measure for the seven study constructs. Results of the CCA with reflective measurement model were shown in the Table A1 and Tables 2 and 3.…”
Section: Analyses and Resultsmentioning
confidence: 99%
“…Following the instructions of Hair et al (2020), we conducted confirmatory composite analysis (CCA) with reflective measurement models in PLS‐SEM (SmartPLS 3.2) to examine the reliability and validity of the measure for the seven study constructs. Results of the CCA with reflective measurement model were shown in the Table A1 and Tables 2 and 3.…”
Section: Analyses and Resultsmentioning
confidence: 99%
“…At the first-order level, all items are reflective measurements. To evaluate the reflective measurements, we conduct a confirmatory composite analysis (CCA) (Hair et al 2020(Hair et al , 2019. We used the indicator loading, which should be higher than 0.7; composite reliability, which should be higher than 0.6; and average variance extracted, which should be higher than 0.5.…”
Section: Resultsmentioning
confidence: 99%
“…To evaluate the formative measurements in the second order, once again, we conduct a confirmatory composite analysis (CCA) (Hair et al 2020(Hair et al , 2019. We use the weights, p-values, and variance inflation factor (VIF), which should be less than 5 (Diamantopoulos et al 2008).…”
Section: Resultsmentioning
confidence: 99%
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