2010
DOI: 10.1016/j.jbusres.2009.05.003
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Insufficient discriminant validity: A comment on Bove, Pervan, Beatty, and Shiu (2009)

Abstract: Bove, Pervan, Beatty, and Shiu (2009)

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Cited by 742 publications
(589 citation statements)
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“…Discriminant validity was assessed using the method presented by Farrell (2010). This method involves comparing the average variance extracted (AVE) of each construct with the shared variance between constructs.…”
Section: Discriminant Validitymentioning
confidence: 99%
“…Discriminant validity was assessed using the method presented by Farrell (2010). This method involves comparing the average variance extracted (AVE) of each construct with the shared variance between constructs.…”
Section: Discriminant Validitymentioning
confidence: 99%
“…This means that, even though some types present strong correlations among them, the specific variance, explained by each latent factor, is higher than the variance of this factor that is shared with the remaining factors. That is, there is evidence of discriminant validity for each of the six career types, ratifying its specificity and theoretical and practice relevance that justifies keeping the six factors in the structure model (Farrell, 2010).…”
Section: Discussionmentioning
confidence: 90%
“…Indicators such as normed chi-squared (c 2 /gl), AIC and CAIC were used to assess the best fit among the models tested -values below these indexes indicate the most parsimonious model with the most satisfactory goodness of fit. Indicators that show reliability and convergent-discriminant validity of the scale factor structure were also calculated: Composed Reliability -CR (valor ≥ .70 indicates satisfactory internal consistency) and Average Variance Extracted -AVE > .50 indicates convergent validity of parcels to represent the latent factor; the squared root of AVE (√AVE) greater than the association of phi among factors indicates discriminant validity (Farrell, 2010).…”
Section: Methodsmentioning
confidence: 99%
“…From Table 2, there is a high correlation of 0.92 between the independent variable 'perceived usefulness' and dependent variable 'willingness to use'. In such situations, it is necessary to assess discriminant validity before further analyses can be conducted (Farrell, 2009). Following Fornell and Larcker (1981) who state that "variance extracted estimates should be greater than the squared correlation estimate", we examine whether the average variance extracted for the two constructs in our study was greater than the squared correlation (rsquare) between the two constructs.…”
Section: Analyses and Resultsmentioning
confidence: 99%