Factors Affecting Relative Weights: The Influence of Sampling and Measurement Error

By Jeff W. Johnson. 2004

135 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/add2e15bb566e9fa0750b486c9c2235dbb7c81e3

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In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

Determining the Relative Importance of Predictors in Logistic Regression: An Extension of Relative Weight Analysis (2010, methodology): “Johnson (2004) describes an approach for testing whether two relative weights are significantly different from one another, and Tonidandel et al. (2009) contains some updated recommendations.”
Reassessing media violence effects using a risk and resilience approach to understanding aggression (2012, background): “The relative importance of each of the predictors cannot be determined by simply examining the size of beta coefficients, as risk factors are collinear (Johnson, 2001, 2004).”
The Relative Importance of Employee Engagement, Other Job Attitudes, and Trait Affect as Predictors of Job Performance† (2012, unknown): “to the criterion (Johnson, 2004).”
Relative Importance Analysis: A Useful Supplement to Regression Analysis (2011, methodology): “A description of this approach for dominance analysis can be found in Azen and Budescu (2003), and a similar approach to confidence intervals for relative weight analysis is discussed in Johnson (2004) with some updated recommendations made in Tonidandel et al. (2009).”
Beyond Global Measures of Relative Importance: Some Insights from Dominance Analysis (2004, unknown): “Johnson, J. W. (2004).”
Entrepreneurial Imaginativeness in New Venture Ideation (2018, methodology): “ConsistentwithTonidandel and colleagues (2009), the 95% confidence intervals for the relative weights (Johnson, 2004) and significance tests were based on a bootstrapping approach with 10,000 replications.”
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).”
Are Bad Experiences Stronger than Good Ones in Mentoring Relationships? Evidence from the Protege and Mentor Perspective. (2010, methodology): “To test whether the percent of variance explained was significantly different across good and bad experiences, confidence intervals were computed using a bootstrap approach to estimate standard errors (Johnson, 2004).”
Antecedents of trust in supervisors, subordinates, and peers (2011, methodology): “We also used a a bootstrapping procedure recommended by Johnson (2004)”
Tools to Support Interpreting Multiple Regression in the Face of Multicollinearity (2012, methodology): “General dominance weights provide similar results as RIWs, proposed by Lindeman et al. (1980) and Johnson (2000, 2004).”