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Corrupt Research

Corrupt Research
The Case for Reconceptualizing Empirical Management and Social Science

July 2015 | 360 pages | SAGE Publications, Inc

Addressing the immensely important topic of research credibility, Raymond Hubbard’s groundbreaking work proposes that we must treat such information with a healthy dose of skepticism. This book argues that the dominant model of knowledge procurement subscribed to in these areas—the significant difference paradigm—is philosophically suspect, methodologically impaired, and statistically broken. Hubbard introduces a more accurate, alternative framework—the significant sameness paradigm—for developing scientific knowledge. The majority of the book comprises a head-to-head comparison of the “significant difference” versus “significant sameness” conceptions of science across philosophical, methodological, and statistical perspectives.  

1. Introduction
2. Philosophical Orientation - Significant Difference
Conception of Knowledge  
Model of Science - Hypothetico-Deductivism  
The Role of "Negative" (p>.05) Results  
Appendix: An Empirical Regularity Not to be Proud Of  
3. Philosophical Orientation - Significant Sameness
Conception of Knowledge  
Model of Science - Critical Realism  
The Role of "Negative" (P>.05) Results  
Statistical Power of "Negative" (P>.05) Results  
4. The Importance of Replication Research - Significant Sameness
A Succinct Overview of Replication's Role  
A Typology of Replications  
Replication Research and the Acquisition of Knowledge  
The Role of "Internal" Replications  
Appendix: The Use of Student Samples in the Management and Social Sciences  
5. The Importance of Replication Research - Significant Difference
The Publication Incidence of Replication Research in the Managerial and Social Sciences  
The Outcomes of Replication Research  
The Timeliness of Replication Research  
Why the Lack of Replication Research?  
The Publication Frequency of Critical Commentary  
6. Conception of Generalization/External Validity
Significant Difference  
Significant Sameness  
Appendix: Fisher's Views on Probability and Random Sampling  
7. Contrasts Over Statistical Issues
Model Uncertainty  
Nature of Predictions Made  
The Role of P-Values  
The Role of Effect Sizes and Confidence Intervals  
8. Whither the Academy?
Obstacles to the Implementation of the Significant Sameness Paradigm  
Cultivating a Significant Sameness Tradition  
Retrospective: Empirical Regularities and the Emergence of Nineteenth Century Social Statistics and Social Science  
9. Epilogue

Sample Materials & Chapters

Chapter 1

Chapter 2

Chapter 3

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Raymond Hubbard

Raymond Hubbard is Professor Emeritus of Marketing at Drake University, Des Moines, Iowa, USA. He holds a B.Sc. (Econ) Hons degree from the University of London, England; an M.Sc. in Geography from the University of the West Indies, Kingston, Jamaica; and an M.A. in Economics and a Ph.D. in Geography from the University of Nebraska, Lincoln. He taught previously at SUNY Fredonia, New York; and held visiting positions at the University of Washington, Seattle, and at the University of Auckland, New Zealand. His research interests include applied methodology, and the sociology and history of knowledge development in the management and social... More About Author

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ISBN: 9781506305356