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Raymond Hubbard, "Corrupt Research: The Case for Reconceptualizing Empirical Management and Social Science," Sage Publications, Inc., Thousand Oaks, CA, 2016.

Chapter 1    INTRODUCTION

Chapter 2    PHILOSOPHICAL ORIENTATION  --  SIGNIFICANT DIFFERENCE
   2.1  Introduction
   2.2  Conception of Knowledge
   2.3  Model of Science  --  Hypothetico-Deductivism
   2.4  The Role of "Negative" (p > .05) Results
   2.5  Conclusions

Chapter 3    PHILOSOPHICAL ORIENTATION  --  SIGNIFICANT SAMENESS
   3.1 Introduction
   3.2  Conception of Knowledge
   3.3  Model of Science  --  Critical Realism
   3.4  The Role of "Negative" (p > .05) Results
   3.5  The Statistical Power of "Negative" (p > .05) Results
   3.6  Conclusions

Chapter 4    THE IMPORTANCE OF REPLICATION RESEARCH  --  SIGNIFICANT SAMENESS
   4.1  Introduction
   4.2  A Succinct Overview of Replication's Role
   4.3  A Typology of Replications
   4.4  Replication Research and the Acquisition of Knowledge
   4.5  The Role of "Internal" Replications
   4.6  Conclusions

Chapter 5    THE IMPORTANCE OF REPLICATION RESEARCH  --  SIGNIFICANT DIFFERENCE
   5.1  Introduction
   5.2  The Publication Incidence of Replication Research in the Management and Social Sciences
   5.3  The Outcomes of Replication Research
   5.4  The Timeliness of Replication Research
   5.5  Why the Lack of Replication Research?
   5.6  The Publication Frequency of Critical Commentary
   5.7  Conclusions

Chapter 6    CONCEPTION OF GENERALIZATION/EXTERNAL VALIDITY
   6.1  Introduction
   6.2  Significant Difference
   6.3  Significant Sameness
   6.4  Conclusions

Chapter 7    CONTRASTS OVER STATISTICAL ISSUES
   7.1  Introduction
   7.2  Model Uncertainty
   7.3  Nature of Predictions Made
   7.4  The Role of P-Values
   7.5  The Role of Effect Sizes and Confidence Intervals
   7.6  Conclusions

Chapter 8    WHITHER THE ACADEMY?
   8.1  Introduction
   8.2  Obstacles to the Implementation of the Significant Sameness Paradigm
   8.3  Cultivating a Significant Sameness Tradition
   8.4  Retrospective: Empirical Regularities and the Emergence of 19th Century Social Statistics and Social Science
   8.5  Conclusions

Chapter 9    EPILOGUE

Raymond Hubbard is the Thomas F. Sheehan Distinguished Professor of Marketing, Emeritus, at Drake University, Des Moines, Iowa. He can be reached at drabbuhyar@aol.com

Here’s what the Sage people said about the book on the back-cover page:

CAN YOU TRUST WHAT YOU READ IN EMPIRICAL MANAGEMENT AND SOCIAL SCIENCE RESEARCH?

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.