Significance Test for a Partial Correlation Corrected for Attenuation.

Abstract

Correction for attenuation is important for partial correlations because not even the sign of the partial between true scores can be inferred safely from the partial between observed (fallible) scores. Methods for inferring the corrected partial are discussed. Unfortunately, the corrected partial will sometimes have an overwhelming sampling error. A significance test is developed that largely circumvents this problem in those cases where it is enough to infer just the sign of the partial between true scores. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1972
Accession Number
AD0737696

Entities

People

  • Frederic M. Lord

Organizations

  • Educational Testing Service

Tags

DTIC Thesaurus Topics

  • Attenuation
  • Collecting Methods
  • Sampling

Readers

  • Calculus or Mathematical Analysis
  • Educational Psychology
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks