SOME THOUGHTS ON THE USE AND MISUSE OF STATISTICAL INFERENCE,

Abstract

The document contains a discussion of the abuse of techniques of statistical inference resulting from inadequate attention to the relationship between the model used and the real world problem being addressed, and inappropriate interpretation of conclusions in the light of that relationship. The basic principle underlying all statistical inference is that one attempts to distinguish between alternatives by comparing observed behavior with that predicted by predictive models of those alternatives. The use of predictive models which do not describe the behavior of the alternatives between which one wishes to distinguish is a clear violation of that principle. The principle is illustrated in a discussion of sampling from an urn. The technique of causal inference through partial correlation analysis is discussed as an example of the violation of this principle. On the surface this technique appears to have wide applicability in analyses in support of policy studies, but further examination shows its applicability to be somewhere between highly questionable and totally specious. (Author)

Document Details

Document Type
Technical Report
Publication Date
May 12, 1970
Accession Number
AD0707038

Entities

People

  • Ralph E. Strauch

Organizations

  • RAND Corporation

Tags

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Correlation Analysis
  • Data Science
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematics
  • Predictive Modeling
  • Sampling
  • Statistical Inference

Readers

  • Regression Analysis.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference