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Chapter 1 BETTER THEORY, METHODS, AND PRACTICE THROUGH COMPUTATIONAL MODELING

By:

Vancouver, Jeffrey B [auth]

Contributor(s):

Material type: Text

TextLanguage: English Publication details: Taylor & Francis 2024Description: 1 electronic resource (32 p.)Content type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781003388852-2
9781032483757
9781032483856

Subject(s):

Philosophy: aesthetics
The arts: general issues
Computational Modeling for Industrial-Organizational Psychologists; Jeffrey B. Vancouver; Mo Wang; Justin Weinhardt; Jeffrey Vancouver; SIOP Organizational Frontiers Series; SIOP; Society for Industrial and Organizational Psychology; SIOP Organizational Frontiers; computational modeling; computerational models; I/O psychology; vocational psychology; work psychology; organizational psychology; human resource management; organizational behavior; organizational science

Online resources:

Summary: This chapter is designed help motivate the current readers' interest in computational modeling as the authors provide a description of the myriad of values computational modeling can bring to our science. Readers are also given a brief history of computational modeling as it relates to the field of I-O psychology. This is followed by a more complete description of the goals for the book, as the authors describe the learning objectives for various levels of computational model afficionados, from the scholarly consumers to the computational model creators. Finally, an overview of the chapters is provided.

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Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books Open Access			Available

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This chapter is designed help motivate the current readers' interest in computational modeling as the authors provide a description of the myriad of values computational modeling can bring to our science. Readers are also given a brief history of computational modeling as it relates to the field of I-O psychology. This is followed by a more complete description of the goals for the book, as the authors describe the learning objectives for various levels of computational model afficionados, from the scholarly consumers to the computational model creators. Finally, an overview of the chapters is provided.