2022 · Structural Equation Modeling: A Multidisciplinary Journal · 29(4), 611–619
Journal DOI: 10.1080/10705511.2022.2057315
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This paper develops a data-driven search procedure for GSCA when existing theory does not fully specify relationships among variables. For each target variable, the algorithm seeks a combination of predictors that minimizes error when predicting unseen observations. A simulation study and an empirical application examine its performance and practical usefulness.
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Peer-reviewed journal article
Structural Equation Modeling: A Multidisciplinary Journal · 2022
DOI: 10.1080/10705511.2022.2057315Cite this work
Gyeongcheol Cho, Heungsun Hwang, Marko Sarstedt, Christian M. Ringle (2022). A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis. Structural Equation Modeling: A Multidisciplinary Journal, 29(4), 611–619. https://doi.org/10.1080/10705511.2022.2057315