technique, researchers interpret a very high correlation between any pair of constructs in the model (greater than 0.9) as a sign of CMV effects. Similar to Harman's single-factor test, this procedure can just be used to obtain evidence of the presence of CMV.
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Rodríguez‐Ardura et al. (2019) studied this question.
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