Computational Modeling for Industrial-Organizational Psychologists

Part I: The Call for Computational Modeling in I/O

1. Better Theory, Methods, and Practice through Computational Modeling
Jeffrey B. Vancouver, Mo Wang, and Justin M. Weinhardt

2. Toward Integrating Computational Models of Decision-making into Organizational Research
Shannon N. Cooney, Michelle S. Kaplan and Michael T. Braun

3. Computational Modeling in Organizational Diversity and Inclusion
Hannah L. Samuelson and Jaeeun Lee, Jennifer L. Wessel and James A. Grand

4. Computational Models of Learning, Training, and Socialization: A Targeted Review and a Look Toward the Future
J. H. Hardy III

5. Models of Leadership in Teams
Le Zhou

6. Using Simulations to Predict the Behavior of Groups and Teams
Deanna M. Kennedy

Part II: Creating and Validating Computational Models

7. Agent-Based Modeling
Chen Tang and Yihao Liu

8. Computational Modeling with System Dynamics
Jeffrey B. Vancouver and Xiaofei Li

9. Evaluating Computational Models
Justin M. Weinhardt

10. Fitting Computational Models to Data: A Tutorial
Timothy Ballard, Hector Palada, and Andrew Neal

11. How to Publish and Review a Computational Model
Andrew Neal, Timothy Ballard, and Hector Palada

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• Gestão do pessoal e recursos humanos
• Psicologia ocupacional e industrial
• Métodos de pesquisa: geral
• Teoria e comportamento organizacional
• Ensaios e medições psicológicas

organizational behavior modeling;simulation in social sciences;diversity inclusion analytics;team dynamics research;quantitative theory testing;learning process simulation;computational psychology methods for researchers