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Corrupt Research

Corrupt Research
The Case for Reconceptualizing Empirical Management and Social Science

August 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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