Andrew Li

Sociology and Political Science · with Bagger · 2005–2017

A researcher in the Science corpus: 11 papers; trusts 110 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Li trusts overall

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

  1. J. Colquitt
  2. Quinetta Roberson
  3. Mark G. Ehrhart
  4. R. Henson
  5. B. Thompson
  6. Stefanie E. Naumann
  7. Tammy D. Allen
  8. Russell S. Cropanzano
  9. D. Rupp
  10. John C. Caruso

Who trusts Andrew Li overall

  1. Claire M. Hart
  2. Frank L. Schmidt
  3. Alexander M. Czopp
  4. Susan Sprecher
  5. D. L. Ferris
  6. Gale M. Lucas
  7. J. Bagger
  8. Fred Walumbwa
  9. In-Sue Oh
  10. S. Aryee

Papers from Andrew Li's perspective

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

  1. On the dimensionality of organizational justice: a construct validation of a measure. (Journal of Applied Psychology)
  2. Inequity In Social Exchange
  3. Within-group agreement, non-independence, and reliability: Implications for data aggregation and analysis.
  4. Justice at the millennium: a meta-analytic review of 25 years of organizational justice research. (Journal of Applied Psychology)
  5. Mediation in experimental and nonexperimental studies: new procedures and recommendations. (Psychological methods)
  6. Organizational Citizenship Behaviors: A Critical Review of the Theoretical and Empirical Literature and Suggestions for Future Research
  7. Fairness heuristic theory: Justice judgments as pivotal cognitions in organizational relations.
  8. Common method biases in behavioral research: a critical review of the literature and recommended remedies. (Journal of Applied Psychology)
  9. The nature and dimensionality of organizational citizenship behavior: a critical review and meta-analysis. (Journal of Applied Psychology)
  10. The Role of Justice in Organizations: A Meta-Analysis

Their papers