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Bentler, Peter M. – Measurement: Interdisciplinary Research and Perspectives, 2016
The latent factor in a causal indicator model is no more than the latent factor of the factor part of the model. However, if the causal indicator variables are well-understood and help to improve the prediction of individuals' factor scores, they can help to interpret the meaning of the latent factor. Aguirre-Urreta, Rönkkö, and Marakas (2016)…
Descriptors: Causal Models, Factor Analysis, Prediction, Scores
Markus, Keith A. – Measurement: Interdisciplinary Research and Perspectives, 2016
In their 2016 work, Aguirre-Urreta et al. provided a contribution to the literature on causal measurement models that enhances clarity and stimulates further thinking. Aguirre-Urreta et al. presented a form of statistical identity involving mapping onto the portion of the parameter space involving the nomological net, relationships between the…
Descriptors: Causal Models, Measurement, Criticism, Concept Mapping
Ferrando, Pere J. – Applied Psychological Measurement, 2009
Spearman's factor-analytic model has been proposed as a unidimensional linear item response theory (IRT) model for continuous item responses. This article first proposes a reexpression of the model that leads to a form similar to that of standard IRT models for binary responses and discusses the item indices of difficulty discrimination and…
Descriptors: Factor Analysis, Item Response Theory, Discriminant Analysis, Psychometrics
Miyazaki, Yasuo; Frank, Kenneth A. – Journal of Educational and Behavioral Statistics, 2006
In this article the authors develop a model that employs a factor analysis structure at Level 2 of a two-level hierarchical linear model (HLM). The model (HLM2F) imposes a structure on a deficient rank Level 2 covariance matrix [tau], and facilitates estimation of a relatively large [tau] matrix. Maximum likelihood estimators are derived via the…
Descriptors: Methods, Factor Analysis, Computation, Causal Models
Pae, Tae-Il; Park, Gi-Pyo – Language Testing, 2006
The present study utilized both the IRT-LR (item response theory likelihood ratio) and a series of CFA (confirmatory factor analysis) multi-sample analyses to systematically examine the relationships between DIF (differential item functioning) and DTF (differential test functioning) with a random sample of 15 000 Korean examinees. Specifically,…
Descriptors: Item Response Theory, Factor Analysis, Test Bias, Test Validity
Greenlees, Iain; Lane, Andrew; Thelwell, Richard; Holder, Tim; Hobson, Gina – Research Quarterly for Exercise and Sport, 2005
The aim of this study was to develop and validate a team-referent attribution scale. Conducted over three studies, Study 1 modified items from McAuley, Duncan, and Russell's (1992) Causal Dimension Scale II by rewording items to reflect team attributions and adding one item per factor. This led to the development of a 16-item scale (Causal…
Descriptors: Attribution Theory, Team Sports, Athletes, Factor Analysis