The Accuracy of Dominance Analysis as a Metric to Assess Relative Importance: The Joint Impact of Sampling Error Variance and Measurement Unreliability

Dominance analysis (DA) has been established as a useful tool for practitioners and researchers to identify the relative importance of predictors in a linear regression. This article examines the joint impact of two common and pervasive artifacts-sampling error variance and measurement unreliability...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of applied psychology 2019-04, Vol.104 (4), p.593-602
Hauptverfasser:	Braun, Michael T, Converse, Patrick D, Oswald, Frederick L
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adult Behavioral Research - methods Behavioral Research - standards Data Interpretation, Statistical Dominance Error of Measurement Errors Humans Linear Regression Measurement Models, Statistical Monte Carlo Method Multiple Regression Psychology, Applied - methods Psychology, Applied - standards Researchers Sampling Sampling (Experimental) Sampling error Selection Bias Simulation Teams
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!