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Basic Social Math
Beyond Statistics — Testing Paradigms Against Empirical Evidence




                                   ...
Losing the Power
   of Abstraction

  Why don’t our calculations
generalize across social contexts
         of operation?
...
Quantitative vs Qualitative



     • OR/MS Identity Crisis: Bipolar Disorder?




  • The role of the observer in calcula...
Problem of Language
How do we re-establish objectivity
     in our computations?
Problem of
    Paradigms
What questions do we ask
     to do epicycle
      calculations?

What questions do we ask
    to...
Are We Asking
Questions That
    Lead to
 Innovation?

  • Do Planets
  Actually Move
 Through Space in
    This Way?
Establishing
    Direct
Correspondence
 to Empirical
   Evidence

• Ending the Rigor vs
   Relevance Debate
    “Decision ...
Anchoring on
       Empirics

“Lack of empirics in the modeling
culture is an unaddressed issue”
   (Hubbard & Samuelson, ...
Basic Social Math
• Testing Paradigms Against
  Empirical Evidence
• Anchoring to Empirical Processes
  in order to Frame ...
References
• Gulati, Ranjay. “Tent Poles, Tribalism, and Boundary Spanning: The Rigor-
  Relevance Debate in Management Re...
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Testing Paradigms and Assumptions Against Empirical Evidence

Neither normative nor descriptive modeling, as currently constituted, can achieve scientific objectivity. Within the statistical paradigm of quantitative & qualitative research, assumptions, values, & beliefs are not rigorously corresponded to empirical systems. Conversions of meaning to numbers and numbers to meaning rely on social constructions, not empirical evidence. This creates subjectivity in computations. Only the linguistic rigor of basic math can re-establish computational legitimacy.

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Basic Social Math - Beyond Statistics

  1. 1. Basic Social Math Beyond Statistics — Testing Paradigms Against Empirical Evidence © 2012 By Jared Lee Hanson Presented on 26 June 2012 at the Beijing INFORMS International Meeting
  2. 2. Losing the Power of Abstraction Why don’t our calculations generalize across social contexts of operation? Assumptive vs Theoretic Generalization (Meredith, 1998)
  3. 3. Quantitative vs Qualitative • OR/MS Identity Crisis: Bipolar Disorder? • The role of the observer in calculating meaning • Subjectivity from social constructions & cultural bias
  4. 4. Problem of Language
  5. 5. How do we re-establish objectivity in our computations?
  6. 6. Problem of Paradigms What questions do we ask to do epicycle calculations? What questions do we ask to do statistical calculations? • Adding Epicycles & Model Complexity
  7. 7. Are We Asking Questions That Lead to Innovation? • Do Planets Actually Move Through Space in This Way?
  8. 8. Establishing Direct Correspondence to Empirical Evidence • Ending the Rigor vs Relevance Debate “Decision making is a fundamental particle of management” (Noonan, 2007) (Gulati, 2007) http://cosmiclog.msnbc.msn.com/_news/2012/06/06/12090848-your-views-and-videos-of-venus?lite
  9. 9. Anchoring on Empirics “Lack of empirics in the modeling culture is an unaddressed issue” (Hubbard & Samuelson, 2009) Achieving New Perspectives of Observation http://apod.nasa.gov/apod/ap120609.html
  10. 10. Basic Social Math • Testing Paradigms Against Empirical Evidence • Anchoring to Empirical Processes in order to Frame and Navigate Complex Problems
  11. 11. References • Gulati, Ranjay. “Tent Poles, Tribalism, and Boundary Spanning: The Rigor- Relevance Debate in Management Research.” Academy of Management Journal, v50 (4) 2007: 775-782. • Hubbard, Douglas, and Douglas A. Samuelson. “Modeling Without Measurements.” ORMS Today, v36 (5) 2009: 26. • Meredith, Jack. “Building Operations Management Theory Through Case and Field Research.” Journal of Operations Management, v16, 1998: 441-454. • Noonan, Patrick S. "Designing, Selling a Hybrid Course." ORMS Today, v34 (4) 2007: 10.
  • MelissaCooper46

    Nov. 28, 2021

See the video at http://www.facebook.com/video/video.php?v=448476978503521 Testing Paradigms and Assumptions Against Empirical Evidence Neither normative nor descriptive modeling, as currently constituted, can achieve scientific objectivity. Within the statistical paradigm of quantitative & qualitative research, assumptions, values, & beliefs are not rigorously corresponded to empirical systems. Conversions of meaning to numbers and numbers to meaning rely on social constructions, not empirical evidence. This creates subjectivity in computations. Only the linguistic rigor of basic math can re-establish computational legitimacy.

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