Computational Modeling for Industrial-Organizational Psychologists
Herausgeber: Vancouver, Jeffrey B.; Weinhardt, Justin M.; Wang, Mo
Computational Modeling for Industrial-Organizational Psychologists
Herausgeber: Vancouver, Jeffrey B.; Weinhardt, Justin M.; Wang, Mo
- Gebundenes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
This collection provides a primer to the process and promise of computational modeling for industrial-organizational psychologists.
Andere Kunden interessierten sich auch für
- Simon FarrellComputational Modeling of Cognition and Behavior145,99 €
- Richard N. LandersResearch Methods for Industrial and Organizational Psychology148,99 €
- Irving B WeinerHandbook of Psychology, Industrial and Organizational Psychology231,99 €
- Ronald H. HeckAn Introduction to Multilevel Modeling Techniques250,99 €
- Insu PaekUsing R for Item Response Theory Model Applications205,99 €
- Brian S EverittStatistics for Psychologists206,99 €
- Wade BoykinResearch Directions of Black Psychologists74,99 €
-
-
-
This collection provides a primer to the process and promise of computational modeling for industrial-organizational psychologists.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Routledge
- Seitenzahl: 350
- Erscheinungstermin: 2. November 2023
- Englisch
- Abmessung: 235mm x 157mm x 23mm
- Gewicht: 658g
- ISBN-13: 9781032483757
- ISBN-10: 103248375X
- Artikelnr.: 69947763
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Routledge
- Seitenzahl: 350
- Erscheinungstermin: 2. November 2023
- Englisch
- Abmessung: 235mm x 157mm x 23mm
- Gewicht: 658g
- ISBN-13: 9781032483757
- ISBN-10: 103248375X
- Artikelnr.: 69947763
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Jeffrey B. Vancouver is Professor and Byham Chair in Industrial Organizational Psychology at Ohio University, USA. Mo Wang is University Distinguished Professor and Lanzillotti-McKethan Eminent Scholar Chair at Warrington College of Business at the University of Florida, USA. Justin M. Weinhardt is Associate Professor of Organizational Behavior and Human Resources at the University of Calgary, Canada.
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
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
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
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