Miguel I. Aguirre-Urreta
Statistics and Probability · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 18 citations into it
- Economics and Econometrics — 11 citations into it
- Organizational Behavior and Human Resource Management — 11 citations into it
- Sociology and Political Science — 9 citations into it
- Management Information Systems — 7 citations into it
Whom Miguel I. Aguirre-Urreta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- William N. Venables
- Yves Rosseel
- Scott B. MacKenzie
- Philip M. Podsakoff
- B. D. Ripley
- Stacie C. Petter
- Hettie A. Richardson
- Detmar W. Straub Jr.
- P. Lachenbruch
- Marcia J. Simmering
Who trusts Miguel I. Aguirre-Urreta overall
Papers from Miguel I. Aguirre-Urreta's perspective
Ordered by how strongly the researchers Miguel I. Aguirre-Urreta trusts endorse each paper. Same corpus, a different order for every researcher.
- Common method biases in behavioral research: a critical review of the literature and recommended remedies. (Journal of Applied Psychology)
- Specifying Formative Constructs in Information Systems Research (MIS Q.)
- Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies
- lavaan: An R Package for Structural Equation Modeling
- On making causal claims: A review and recommendations
- Econometric Analysis of Cross Section and Panel Data
- A Tale of Three Perspectives
- Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research (Management Sciences)
- The Presence of Something or the Absence of Nothing: Increasing Theoretical Precision in Management Research
- Statistical Power Analysis for the Behavioral Sciences (2nd ed.)
Their papers
- Eight Simple Guidelines for Improved Understanding of Transformations and Nonlinear Effects (2021) — 48 citations
- Detecting Common Method Bias: Performance of the Harman's Single-Factor Test (2019) — 574 citations