Modeling Configural Patterns in Latent Variable Profiles: Association With an Endogenous Variable

Mark L Davison, Yu Feng Chang, Ernest C Davenport

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

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 languageEnglish (US)
Pages (from-to)81-93
Number of pages13
JournalStructural Equation Modeling
Volume21
Issue number1
DOIs
StatePublished - Jan 1 2014

Keywords

  • SEM
  • human judgment
  • latent variables
  • pattern analysis
  • profile analysis
  • profile similarity
  • regression
  • social perception

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