Determining the Statistical Significance of Relative Weights

Relative weight analysis is a procedure for estimating the relative importance of correlated predictors in a regression equation. Because the sampling distribution of relative weights is unknown, researchers using relative weight analysis are unable to make judgments regarding the statistical signif...

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Veröffentlicht in:	Psychological methods 2009-12, Vol.14 (4), p.387-399
Hauptverfasser:	Tonidandel, Scott, LeBreton, James M, Johnson, Jeff W
Format:	Artikel
Sprache:	eng
Schlagworte:	Bias Biological and medical sciences Bootstrap methods Data Interpretation, Statistical Error of Measurement Fundamental and applied biological sciences. Psychology Human Humans Judgments Methodology Models, Psychological Monte Carlo Methods Multiple Regression Multiple Regression Analysis Power Predictor Variables Psychology - methods Psychology - statistics & numerical data Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Psychometrics. Statistics. Methodology Regression Analysis Sampling Standard errors Statistical Inference Statistical Power Statistical Regression Statistical Significance Statistical Weighting Statistics. Mathematics Type I Errors
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