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Data, Methods and Theory in the Organizational Sciences

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advanced organizational research techniques
Algorithmic Errors
Big Data
Category=GPS
Category=JMB
Category=JMJ
Category=KJU
Counterproductive Work Behaviors
data
data analysis
data collection
Data Generation Process
empirical research methods
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eq_business-finance-law
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eq_nobargain
eq_non-fiction
eq_society-politics
Evidence Based Practice Recommendations
I/O psychology
IO psychology
Kevin Murphy
Machine Learning Algorithms
Meta-analytic Datasets
Meta-analytic Structural Equation Modeling
Nontenure Track Faculty
Null Hypothesis Significance Tests
OLS Regression
Open Science
Open Science Movement
Open Science Practices
Organic Dataset
organizational behavior analysis
organizational frontiers
organizational psychology
organizational research
Organizational Science
Organizational Science Research
organizational sciences
organizations
quantitative data evaluation
Random Forests
research data ethics
research methods
scientific methodology training
SIOP
SIOP Organizational Frontiers
SIOP Organizational Frontiers Series
Society for Industrial and Organizational Psychology
Stem Field
Supervised Machine Learning
theory
theory development process
Traditional NHST
Validity Threats
Voluntary Turnover
Wearable Sensors

Product details

  • ISBN 9780367857707
  • Weight: 453g
  • Dimensions: 152 x 229mm
  • Publication Date: 21 Feb 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

Data, Methods and Theory in the Organizational Sciences explores the long-term evolution and changing relationships between data, methods, and theory in the organizational sciences. In the last 50 years, theory has come to dominate research and scholarship in these fields, yet the emergence of big data, as well as the increasing use of archival data sets and meta-analytic methods to test empirical hypotheses, has upset this order. This volume examines the evolving relationship between data, methods, and theory and suggests new ways of thinking about the role of each in the development and presentation of research in organizations.

This volume utilizes the latest thinking from experts in a wide range of fields on the topics of data, methods, and theory and uses this knowledge to explore the ways in which behavior in organizations has been studied. This volume also argues that the current focus on theory is both unhealthy for the field and unsustainable, and it provides more successful ways theory can be used to support and structure research, and demonstrates the most effective techniques for analyzing and making sense of data.

This is an essential resource for researchers, professionals, and educators who are looking to rethink their current approaches to research, and who are interested in creating more useful and more interpretable research in the organizational sciences.
About

Kevin R. Murphy is Professor Emeritus at the University of Limerick, Ireland. He is a former SIOP President and Editor of the Journal of Applied Psychology, and has been published in areas ranging from performance appraisal and psychometrics to honesty in the workplace.