Using Cross-Classified Structural Equation Models to Examine the Accuracy of Personality Judgments

Steffen Nestler () and Mitja D. Back
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Steffen Nestler: University of Münster
Mitja D. Back: University of Münster

Psychometrika, 2017, vol. 82, issue 2, No 11, 475-497

Abstract: Abstract Whether, when, and why perceivers are able to accurately infer the personality traits of other individuals is a key topic in psychological science. Studies examining this question typically ask a number of perceivers to judge a number of targets with regard to a specific trait. The resulting data are then analyzed by averaging the judgments across perceivers or by computing the respective statistic for each single perceiver. Here, we discuss the limitations of the average-perceiver and single-perceiver approaches. Furthermore, we argue that and illustrate how cross-classified structural equation models can be used for the flexible analysis of accuracy data.

Keywords: personality judgments; accuracy; lens model; mixed models; cross-classified structural equation models (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s11336-015-9485-6

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