Research methods for organizational studies
"This textbook by Donald Schwab introduces social science methods as applied broadly to the study of issues that arise as part of organizational life. These include issues involving organizational participants such as managers, teachers, customers, patients, and clients, and transactions within and between organizations. This new edition features extensive revisions and two entirely new chapters describing modeling and challenges to the interpretation of research models. The last chapter (21) s…
Read More ↓Title Statements
- Full title :Research methods for organizational studies / Donald P. Schwab.
Summary
"This textbook by Donald Schwab introduces social science methods as applied broadly to the study of issues that arise as part of organizational life. These include issues involving organizational participants such as managers, teachers, customers, patients, and clients, and transactions within and between organizations. This new edition features extensive revisions and two entirely new chapters describing modeling and challenges to the interpretation of research models. The last chapter (21) serves as a summary of the entire book, and provides a guide for evaluating the research of others, as well as a guide for conducting successful research."--Jacket.
Read More ↓Edition Statements
- Publication Date:2005.
- Edition:2nd ed
Publication Statements
- Publisher(s):L. Erlbaum Associates
- Place of Publication:Mahwah, N.J
- Language:eng
- Publication Date:2005.
The Physical Object
- Description:xxi, 329 pages : : illustrations ; : 26 cm
Edition Identifiers
- ISBN:0805847278, 9780805847277
- oclc:ocm55595658
- LC Classification:HD30.4
- Dewey Decimal:302.3/5/072
Table of Contents
1. Introduction -- 2. model of empirical research -- 3. Measurement foundations : validity and validation -- 4. Measurement applications : research questionnaires -- 5. Research design foundations -- 6. Design applications : experiments and quasi-experiments -- 7. Design applications : field studies and surveys -- 8. Data analysis foundations -- 9. Analysis applications : describing scores on a single variable -- 10. Analysis applications : simple correlation and regression -- 11. Analysis applications : multiple correlation and regression -- 12. Statistical inference foundations -- 13. Statistical inference applications -- 14. External validity -- 15. Research report writing -- 16. On incomplete data -- 17. On reliability -- 18. On multicollinearity -- 19. On causal models and statistical modeling -- 20. On statistical modeling challenges -- 21. On good research.
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