A proposed new "what if reliability" analysis for assessing the statistical significance of bivariate relationships

Anthony J. Onwuegbuzie, J. Kyle Roberts, Larry G. Daniel

Research output: Contribution to journalReview articlepeer-review

6 Citations (Scopus)

Abstract

In this article, the authors (a) illustrate how displaying disattenuated correlation coefficients alongside their unadjusted counterparts will allow researchers to assess the impact of unreliability on bivariate relationships and (b) demonstrate how a proposed new "what if reliability" analysis can complement null hypothesis significance tests of bivariate relationships.

Original languageEnglish
Pages (from-to)228-239
Number of pages12
JournalMeasurement and Evaluation in Counseling and Development
Volume37
Issue number4
DOIs
Publication statusPublished - Jan 2005
Externally publishedYes

ASJC Scopus subject areas

  • Education
  • Developmental and Educational Psychology
  • Applied Psychology
  • Psychology (miscellaneous)

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