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Structural equation modelling of multi‐method data has become a popular method to examine construct validity and to control for random and systematic measurement error in personality measures. I review the essential assumptions underlying causal models of multi‐method data and their implications for estimating the validity of personality measures. The main conclusions are that causal models of multi‐method data can be used to obtain quantitative estimates of the amount of valid variance in measures of personality dispositions, but that it is more difficult to determine the validity of personality measures of act frequencies and situation‐specific dispositions.
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Ulrich Schimmack (2010) studied this question.
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