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Corrupt research: the case for reconceptualizing empirical management and social science

By: Material type: TextTextPublication details: Los Angeles Sage 2016Description: xv, 344 pISBN:
  • 9781506305356
Subject(s): DDC classification:
  • 001.4 H8C6
Summary: Addressing the immensely important topic of research credibility, Raymond Hubbard's groundbreaking Corrupt Research 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. (http://www.goodreads.com/book/show/26467232-corrupt-research)
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Item type Current library Item location Collection Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 1-A / Slot 2 (0 Floor, West Wing) Non-fiction General Stacks 001.4 H8C6 (Browse shelf(Opens below)) Available 190606

Table of Contents:

1. Introduction
2. Philosophical Orientation - Significant Difference
3. Philosophical Orientation - Significant Sameness
4. The Importance of Replication Research - Significant Sameness
5. The Importance of Replication Research - Significant Difference
6. Conception of Generalization/External Validity
7. Contrasts Over Statistical Issues
8. Whither the Academy
9. Epilogue

Addressing the immensely important topic of research credibility, Raymond Hubbard's groundbreaking Corrupt Research 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.

(http://www.goodreads.com/book/show/26467232-corrupt-research)

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