The dominance analysis approach for comparing predictors in multiple regression.

By R. Azen, David V. Budescu. Psychological methods, 2003

967 citations recorded by the source corpus.

Subfields: Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/72ffd05b8e92dc0900ce50e4b294e06bb084271d

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Citations in the corpus

A Review and Synthesis of Situational Strength in the Organizational Sciences (2010, background): “Second, it would allow for an assessment of the relative importance (Azen & Budescu, 2003) of the dimensions of situational strength, helping researchers to determine which dimensions are necessary and/or sufficient to adequately understand a given interactional question.”
Toward Disentangling Fathering and Mothering: An Assessment of Relative Importance (2005, methodology): “Then, Azen and Budescu (2003) also introduce a bootstrapping procedure designed to assess "the confidence one can have in making inferences about the population from the observed sample" (p.”
Analysis and Interpretation of Findings Using Multiple Regression Techniques (2006, background): “Baron and Kenny (1986) provided an informative discussion of these terms, with details about how to test each of these types of hypotheses using MRC.”
Understanding the Results of Multiple Linear Regression (2013, methodology): “As in Azen and Budescu (2003), a value of 1 in Dij indicates that Xi dominates Xj, 0 indicates that Xj dominates Xi, and .5 indicates that dominance cannot be established between Xi and Xj.”
Safety climate dimensions, leader–member exchange, and organizational support as predictors of upward safety communication in a sample of rail industry workers (2010, neutral): “models of predictors (Azen and Budescu, 2003; Budescu, 1993).”
Are Universities Creating Millennial Narcissistic Employees? An Empirical Examination of Narcissism in Business Students and Its Implications (2012, background): “Because GPA also remained significant, a dominance analysis (DA; Azen & Budescu, 2003; Budescu, 1993) was conducted to determine the relative importance of narcissism and GPA in explaining the variance in career expectations.”
Diversifying crop rotation improves system robustness (2019, methodology): “Using relative importance dominant analysis (Azen and Budescu 2003), we quantified the magnitude of the key stresses that affected system robustness and found that the relative harmfulness of Asochyta blight and weed pressure to system robustness was 53 and 47% in 2012, and 69 and 31% in 2016,…”
Predicting early academic failure in high school from prior academic achievement, psychosocial characteristics, and behavior. (2012, methodology): “We took a methodologicalsubstantive approach (cf. Marsh & Hau, 2007) by evaluating our assessment system using the dominance analysis technique (Azen & Budescu, 2003; Budescu, 1993), which allowed us to compare the relative importance of each set of predictors in the assessment system.”
Academic Support by Significant Others and Educational Resilience in Mexican-Origin Ninth Grade Students From Intact Families (2008, methodology): “Scholars and statisticians often note the limitations of multiple regression analyses in accurately predicting the relative importance of each predictor variable when there are high intercorrelations between the predictors (Azen & Budescu, 2003; Pedhazur, 1997).”
Illuminating the ‘Face’ of Justice: A Meta‐Analytic Examination of Leadership and Organizational Justice (2018, methodology): “The degree to which a focal predictor dominates other predictors is determined by examining the incremental variance explained across the models (Azen and Budescu, 2003).”
Tools to Support Interpreting Multiple Regression in the Face of Multicollinearity (2012, methodology): “Finally, complete DA can be a useful tool for detection and interpretation of suppression cases (Azen and Budescu, 2003).”
Estimators of Relative Importance in Linear Regression Based on Variance Decomposition (2007, methodology): “Budescu (1993) and Azen and Budescu (2003) introduced dominance analysis that—among other things—assigns exactly the LMG contribution to each regressor, and Azen (2003) provided a SAS macro for the relevant calculations.”