Manifest Variable Path Analysis: Potentially Serious and Misleading Consequences Due to Uncorrected Measurement Error

Despite clear evidence that manifest variable path analysis requires highly reliable measures, path analyses with fallible measures are commonplace even in premier journals. Using fallible measures in path analysis can cause several serious problems: (a) As measurement error pervades a given data se...

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Veröffentlicht in:	Psychological methods 2014-06, Vol.19 (2), p.300-315
Hauptverfasser:	Cole, David A., Preacher, Kristopher J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Consequence Data Interpretation, Statistical Goodness of Fit Humans Measurement Models, Statistical Path Analysis
Online-Zugang:	Volltext
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