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.

part Part 1|96 pages


chapter 1|26 pages

Organizational Data and its Implications for Research and Theory

ByRichard A. Guzzo

chapter 2|21 pages

Using Other Peoples' Data

Implications of Reliance on Meta-Analysis and Archival Data
ByFrank A. Bosco, James G. Field

chapter 3|24 pages

Data Sharing and Data Integrity

ByMartin Götz, James G. Field

chapter 4|24 pages

Using Data in Organizations

ByAlexis A. Fink, Keith McNulty

part Part 2|82 pages


chapter 5|26 pages

Evaluating Data

ByLouis Hickman, Q. Chelsea Song, Sang Eun Woo

chapter 6|29 pages

Organic Data and the Design of Studies

ByNan Zhang, Heng Xu, Le Zhou

chapter 7|26 pages

Surviving the Statistical Arms Race

ByKevin R. Murphy

part Part 3|88 pages


chapter 8|26 pages

How Do Theories in the Behavioral and Social Sciences Emerge, Develop, and Decline?

The Evolution of Politics Perceptions Theory
ByWayne Hochwarter, Christopher C. Rosen, Samantha L. Jordan, Maira E. Ezerins

chapter 9|35 pages

The Data Revolution and the Interplay Between Theory and Data

BySteve W. J. Kozlowski

chapter 10|26 pages

Scholarly Course Corrections Needed to Advance Organizational Science

Field Tests of Theory-Based Deductions are Long Overdue
ByCraig J. Russell

part Part 4|92 pages

Implications for Organizational Science

chapter 11|26 pages

The Research Environment

Opportunities and Obstacles for Advancing Organizational Science
ByGeorgia T. Chao

chapter 12|23 pages

Training (and Retraining) in Data, Methods, and Theory in the Organizational Sciences

ByFrederick L. Oswald, Felix Y. Wu, Karyssa A. Courey

chapter 13|42 pages

Rebuilding Relationships Between Data, Method, and Theories

How the Scientific Method Can Help
ByJeffrey M. Cucina, Mary Anne Nester