Scott Tonidandel
Sociology and Political Science · 2004–2019
A researcher in the Science corpus: 8 papers; trusts 23 researchers and is trusted by 52 researchers here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 36 citations into it; #18,077 of 22,756 by trust here, #4,059 by citations
- Organizational Behavior and Human Resource Management — 33 citations into it; #7,090 of 8,741 by trust here, #2,083 by citations
- Statistics and Probability — 30 citations into it; #1,191 of 12,932 by trust here, #1,624 by citations
- Management Science and Operations Research — 28 citations into it; #945 of 11,946 by trust here, #1,695 by citations
- Gender Studies — 22 citations into it; #3,872 of 4,924 by trust here, #608 by citations
- Social Psychology — 13 citations into it
- Clinical Psychology — 10 citations into it
- Computer Networks and Communications — 10 citations into it; #866 of 9,886 by trust here, #1,826 by citations
Whom Scott Tonidandel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jeff W. Johnson
- James M. LeBreton
- R. Azen
- S. Menard
- David V. Budescu
- Barry M. Goldman
- Anthony B. Atkinson
- Richard B. Darlington
- Jose M. Cortina
- Robert E. Ployhart
Who trusts Scott Tonidandel overall
- Login S. George
- Alexander S. Kier
- J. Dawson
- Louis Tay
- James M. LeBreton
- Laura L. Nathans
- Crystal L. Park
- Jeffery S. McMullen
- A. Rafferty
- Malte Schwinger
Papers from Scott Tonidandel's perspective
Ordered by how strongly the researchers Scott Tonidandel trusts endorse each paper. Same corpus, a different order for every researcher.
- Multiple regression in psychological research and practice.
- A Heuristic Method for Estimating the Relative Weight of Predictor Variables in Multiple Regression (Multivariate Behavioral Research)
- History and Use of Relative Importance Indices in Organizational Research
- The dominance analysis approach for comparing predictors in multiple regression. (Psychological methods)
- Coefficients of Determination for Multiple Logistic Regression Analysis
- Use of Structure Coefficients in Published Multiple Regression Articles: β is not Enough
- Using Dominance Analysis to Determine Predictor Importance in Logistic Regression
- Six Approaches to Calculating Standardized Logistic Regression Coefficients
- Business-unit-level relationship between employee satisfaction, employee engagement, and business outcomes: a meta-analysis. (Journal of Applied Psychology)
- Comparing Predictors in Multivariate Regression Models: An Extension of Dominance Analysis
Their papers
- Relative Importance Analysis: A Useful Supplement to Regression Analysis (2011) — 933 citations
- RACIAL DIFFERENCES IN EMPLOYEE RETENTION: ARE DIVERSITY CLIMATE PERCEPTIONS THE KEY? (2007) — 566 citations
- Determining the Relative Importance of Predictors in Logistic Regression: An Extension of Relative Weight Analysis (2010) — 149 citations
- UNEQUAL ATTENDANCE: THE RELATIONSHIPS BETWEEN RACE, ORGANIZATIONAL DIVERSITY CUES, AND ABSENTEEISM (2007) — 194 citations
- RWA Web: A Free, Comprehensive, Web-Based, and User-Friendly Tool for Relative Weight Analyses (2014) — 496 citations
- Scale Adaptation in Organizational Science Research: A Review and Best-Practice Recommendations (2019) — 367 citations
- Assessing the Multigroup Ethnic Identity Measure for Measurement Equivalence Across Racial and Ethnic Groups (2007) — 102 citations
- Robustness of Generalized Estimating Equation (GEE) Tests of Significance against Misspecification of the Error Structure Model (2004) — 74 citations