Abstract
A model is proposed for identifying latent predictor score patterns associated with a latent outcome variable. The model employs 2 new devices: (a) a path coefficient vector of contrast coefficients to describe a configural pattern in a structural model, and (b) a new type of latent variable with values that quantify the match of the person's latent predictor variable profile pattern to a theoretical pattern associated with the factor. The model is illustrated using data on perceptions and evaluations of political candidates during a debate. Findings suggest a pattern of scores on the perceptual variables associated with perceived debate success for female observers but not for male observers.
Original language | English (US) |
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Pages (from-to) | 81-93 |
Number of pages | 13 |
Journal | Structural Equation Modeling |
Volume | 21 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1 2014 |
Keywords
- SEM
- human judgment
- latent variables
- pattern analysis
- profile analysis
- profile similarity
- regression
- social perception