J. Conway

Management Science and Operations Research · 2003–2010

A researcher in the Science corpus: 7 papers; trusts 13 researchers and is trusted by 175 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 12 citations into it; #126 of 11,946 by trust here, #179 by citations
• Organizational Behavior and Human Resource Management — 12 citations into it; #465 of 8,741 by trust here, #2,130 by citations
• Sociology and Political Science — 10 citations into it
• Applied Psychology — 9 citations into it
• Social Psychology — 8 citations into it
• Statistics and Probability — 7 citations into it; #622 of 12,932 by trust here, #493 by citations
• General Health Professions — 5 citations into it

Whom J. Conway trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Michael K. Lindell
2. C. Lance
3. Philip M. Podsakoff
4. D. J. Whitney
5. Pamela Paxton
6. Robert J. Vandenberg
7. Brian J. Hoffman
8. Scott B. MacKenzie
9. Paul E. Spector
10. Brenda L. Lundy

Who trusts J. Conway overall

1. Matt C. Howard
2. Lawrence J. Williams
3. Tinne Vander Elst
4. Wilmar B. Schaufeli
5. Hans De Witte
6. Daniel T. Holt
7. Mary M. Johnston
8. Zoe S. Dimitriades
9. Serena Carpenter
10. S. Torp

Papers from J. Conway's perspective

Ordered by how strongly the researchers J. Conway trusts endorse each paper. Same corpus, a different order for every researcher.

1. Accounting for common method variance in cross-sectional research designs. (Journal of Applied Psychology)
2. Monte Carlo Experiments: Design and Implementation
3. A meta-analysis of the relationship between organizational citizenship behavior and counterproductive work behavior. (Journal of Applied Psychology)
4. Provincial China: 引言 (Introduction)
5. Why Assessment Centers Do Not Work the Way They Are Supposed To (Industrial and Organizational Psychology)
6. Rater source factors represent important subcomponents of the criterion construct space, not rater bias
7. Introduction: Statistical and Methodological Myths and Urban Legends
8. So Why Ask Me? Are Self-Report Data Really That Bad?
9. Common method biases in behavioral research: a critical review of the literature and recommended remedies. (Journal of Applied Psychology)
10. INTERACTIVE EFFECTS OF GROWTH NEED STRENGTH, WORK CONTEXT, AND JOB COMPLEXITY ON SELF-REPORTED CREATIVE PERFORMANCE

Their papers

• What Reviewers Should Expect from Authors Regarding Common Method Bias in Organizational Research (2010) — 2,505 citations
• A Review and Evaluation of Exploratory Factor Analysis Practices in Organizational Research (2003) — 1,006 citations
• What Is Method Variance and How Can We Cope With It? A Panel Discussion (2010) — 300 citations
• Method Variance and Method Bias in Industrial and Organizational Psychology (2008) — 104 citations
• The Impact of Job Complexity and Study Design on Situational and Behavior Description Interview Validity (2004) — 86 citations
• Bias in the Correlated Uniqueness Model for MTMM Data (2004) — 54 citations
• Teaching and Learning in the Social Context: A Meta-Analysis of Service Learning's Effects on Academic, Personal, Social, and Citizenship Outcomes (2009) — 496 citations