T. Schaller
Applied Psychology · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Applied Psychology — 19 citations into it
- Organizational Behavior and Human Resource Management — 19 citations into it
- Management Science and Operations Research — 12 citations into it
- Statistics and Probability — 12 citations into it
- Marketing — 11 citations into it
- Sociology and Political Science — 9 citations into it
- Computer Networks and Communications — 5 citations into it
- Management Information Systems — 5 citations into it
Whom T. Schaller trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Philip M. Podsakoff
- Michael K. Lindell
- I. Ajzen
- Paul E. Spector
- Scott B. MacKenzie
- C. Lance
- Lawrence J. Williams
- Hettie A. Richardson
- Marcia J. Simmering
- D. J. Whitney
Papers from T. Schaller's perspective
Ordered by how strongly the researchers T. Schaller trusts endorse each paper. Same corpus, a different order for every researcher.
- Accounting for common method variance in cross-sectional research designs. (Journal of Applied Psychology)
- Common method biases in behavioral research: a critical review of the literature and recommended remedies. (Journal of Applied Psychology)
- Method Variance in Organizational Research
- Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies
- What Reviewers Should Expect from Authors Regarding Common Method Bias in Organizational Research
- Theory of Planned Behavior
- Publishing in AMJ—Part 2: Research Design
- Working Memory: Theories, Models, and Controversies
- Assimilation of enterprise systems: the effect of institutional pressures and the mediating role of top management
- Cross-Sectional versus Longitudinal Survey Research: Concepts, Findings, and Guidelines
Their papers
- Common Method Variance in Advertising Research: When to Be Concerned and How to Control for It (2017) — 276 citations
- Alternative Techniques for Assessing Common Method Variance (2015) — 102 citations