Beyond Global Measures of Relative Importance: Some Insights from Dominance Analysis

By David V. Budescu, R. Azen. 2004

129 citations recorded by the source corpus.

Subfields: Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/c99971c7288402f484bbbfc7dc2e8a172524f9ee

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In Sociology and Political Science

Citations in the corpus

Comparative evaluation of critical factors in delivering service quality of banks (2010, background): “It provides a general methodological framework to access the contribution each variable makes to the prediction of a dependent variable considering both its unique contribution and its contribution when combined with other predictors ( Budescu and Azen, 2004”
Competence- and Integrity-Based Trust in Interorganizational Relationships: Which Matters More? (2018, result): “This is akin to what some have called relative importance analysis (LeBreton, Tonidandel, & Krasikova, 2013) or dominance analysis (Budescu & Azen, 2004).”
Relative Importance Analysis: A Useful Supplement to Regression Analysis (2011, background): “Despite this computational shortcoming, dominance analysis possesses some advantages over relative weight analysis concerning the type of information provided (Budescu and Azen 2004).”
Estimators of Relative Importance in Linear Regression Based on Variance Decomposition (2007, methodology): “…boom of literature on relative importance (e.g., Soofi, Retzer, and Yasai-Ardekani 2000; MacNally 2000; Whittaker, Fouladi, and Williams 2002; Lebreton, Ployhart, and Ladd 2004; Johnson 2004; Budescu and Azen 2004; Conklin, Powaga, and Lipovetsky 2004; in addition to the already mentioned sources).”
Advice taking and decision-making: An integrative literature review, and implications for the organizational sciences (2006, background): “…advice (e.g., Brehmer & Hagafors, 1986; Phillips, 1999), or increases in the percentage of criterion variance explained (i.e., DR2) when the focal source is added to a model containing the other sources (e.g., Harvey et al., 2000; see also Cooksey, 1996; Azen & Budescu, 2003; Budescu & Azen, 2004).”
Tools to Support Interpreting Multiple Regression in the Face of Multicollinearity (2012, result): “RIWs and DA are deemed the superior MR interpretation techniques by some (Budescu and Azen, 2004), almost always producing consistent results between methods (Lorenzo-Seva et al., 2010).”
Safety climate dimensions, leader–member exchange, and organizational support as predictors of upward safety communication in a sample of rail industry workers (2010, background): “Complete dominance is indicated by a construct having the highest R contribution at each level of k (Budescu and Azen, 2004).”
Determining the Relative Importance of Predictors in Logistic Regression: An Extension of Relative Weight Analysis (2010, background): “However, if one wishes to examine specific patterns of importance beyond the more global general dominance (e.g., complete dominance, conditional dominance), then dominance analysis would be preferred (Budescu & Azen, 2004).”