UID:
almahu_9949385297702882
Format:
1 online resource :
,
illustrations.
ISBN:
9781003015000
,
100301500X
,
9781000551211
,
1000551210
,
9781000551266
,
1000551261
Series Statement:
Siop organizational frontiers series
Content:
"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 and suggests new ways of thinking about the role of each in the development and presentation of research in organizations"--
Note:
PrefacePart1: Data1. Organizational Data and its Implications for Research and Theory - Rick Guzzo 2. Using Other Peoples' Data: Implications of Reliance on Meta-analysis and Archival Data - Frank Bosco and James Field3. Data sharing and Data Integrity - Martin Göetz and James Field 4. Using Data in Organizations - Alexis Fink and Keith McNulty Part 2: Methods5. Evaluating data - Louis Hickman, Chelsea Song and Sang Eun Woo 6. Organic Data and the Design of Studies - Nan Zhang, Heng Xu and Le Zhou7. Surviving the Statistical Arms Race - Kevin R. Murphy Part 3: Theory8. How do Theories in the Behavioral and Social Sciences Emerge, Develop and Decline?: The Evolution of Politics Perceptions Theory - Wayne Hochwater, Christopher C. Rosen and Samantha L. Jordan 9. The Data Revolution and the Interplay Between Theory and Data - Steve W.J. Kozlowski 10 Scholarly Course Corrections Needed to Advance Organizational Science: Field Tests of Theory-based Deductions are Long Overdue - Craig J. RussellPart 4: Implications for Organizational Science11. The Research Environment: Opportunities and Obstacles for Advancing Organizational Science. Georgia T. Chao 12. Training (and Retraining) in Data, Methods, and Theory in the Organizational Sciences - Fred Oswald, Felix Y. Wu and Karyssa Courey13. Rebuilding Relationships between Data, Method, and Theories: How the Scientific Method Can Help - Jeffrey Cucina and Mary Anne Nester
Additional Edition:
Print version: Data, methods, and theory in the organizational sciences New York, NY : Routledge, 2022 ISBN 9780367857707
Language:
English
Subjects:
Economics
Keywords:
Electronic books.
;
Aufsatzsammlung
URL:
https://www.taylorfrancis.com/books/9781003015000
URL:
Volltext
(URL des Erstveröffentlichers)
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