Consistent Partial Least Squares Path Modeling via Regularization
نویسندگان
چکیده
منابع مشابه
Consistent Partial Least Squares Path Modeling via Regularization
Partial least squares (PLS) path modeling is a component-based structural equation modeling that has been adopted in social and psychological research due to its data-analytic capability and flexibility. A recent methodological advance is consistent PLS (PLSc), designed to produce consistent estimates of path coefficients in structural models involving common factors. In practice, however, PLSc...
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This paper resumes the discussion in information systems research on the use of partial least squares (PLS) path modeling and shows that the inconsistency of PLS path coefficient estimates in the case of reflective measurement can have adverse consequences for hypothesis testing. To remedy this, the study introduces a vital extension of PLS: consistent PLS (PLSc). PLSc provides a correction for...
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ژورنال
عنوان ژورنال: Frontiers in Psychology
سال: 2018
ISSN: 1664-1078
DOI: 10.3389/fpsyg.2018.00174