Latent variable scores and their uses

By Karl G. Jöreskog. 2004

132 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/bb75d8288bdad254c6a84d2eccc95cdbdf253752

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Citations in the corpus

Psychological capital: internal and external validity of the Psychological Capital Questionnaire (PCQ-24) on a South African sample (2013, methodology): “As a follow-up strategy, the fourfactor CFA model was re-run, and the latent scores (Jöreskog, 2000) per latent variable (i.”
Multisource Assessment of Children's Social Competence (2006, methodology): “These correlations have been computed using the latent variable scores (Jöreskog, 2000) obtained from the final model (see Table 4) for each set of ratings.”
Neighborhood Residents' Production of Order: The Effects of Collective Efficacy on Responses to Neighborhood Problems (2006, methodology): “LISREL factor scores (Jöreskog, 2000) were obtained from this measurement model and then used in subsequent analyses.”
Latent Variable Modeling in Congruence Research (2009, methodology): “Latent variable scores can be obtained using procedures described by Jöreskog (2000), such that the classification of cases into subgroups takes into account measurement error in the component variables.”
Introducing the Latent Congruence Model for Improving the Assessment of Similarity, Agreement, and Fit in Organizational Research (2009, methodology): “Fourth, although many methods have been proposed to model interaction and higherorder terms with SEM (Bollen, 1995; Bollen & Paxton, 1998; Jöreskog, 1998, 2000; Jöreskog & Yang, 1996; Kenny & Judd, 1984; Neale, 1998; Ping, 1995; Wood & Erickson, 1998; Yang Jonsson, 1998), procedures for modeling…”
Goal orientation and organizational commitment: Individual difference predictors of job performance (2010, methodology): “Specifically, maximum-likelihood (ML) estimator via the EQS software is used, and latent factor scores corresponding to each construct from the preceding CFA analysis are extracted (Jöreskog, 2000).”
Teachers' conceptions of student learning and own learning (2004, background): “Differences between conceptions of student learning and own learning To be able to compare the factors of student learning with the factors of own learning, latent variable scores (Jöreskog, 2000) were computed for all teachers.”
Latent Variable Interaction Modeling (2002, methodology): “Latent variable scores are unbiased and produce the same mean and covariance matrix as the latent variables (Jöreskog, 2000).”
How do institutions affect corruption and the shadow economy? (2009, methodology): “J can be obtained following the procedure suggested by Jöreskog (2000). The analysis outlined above allows us to decompose the effects of one variable on another into direct, indirect, and total effects.”