The Role of Measurement Error in Familiar Statistics

Abstract

Measurement error, or reliability, affects many common applications in statistics, such as correlation, partial correlation, analysis of variance, regression, factor analysis, and others. Despite its importance, the role of measurement error in these familiar statistical applications often receives little or no attention in textbooks and courses on statistics. The purpose of this article is to examine the role of reliability in familiar statistics and to show how ignoring the consequences of (less than perfect) reliability in common statistical techniques can lead to false conclusions and erroneous interpretation.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2006
Accession Number
ADA449848

Entities

People

  • Malcolm J. Rae
  • Thomas R. Carretta

Organizations

  • Our Lady of the Lake University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Analysis Of Variance
  • Computer Programs
  • Correlation Analysis
  • Data Science
  • Factor Analysis
  • Information Science
  • Mathematics
  • Mental Disorders
  • Minority Groups
  • Personality Disorders
  • Psychology
  • Regression Analysis
  • Reliability
  • Statistical Analysis
  • Statistics

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