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

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

doi:10.1080/07481756.2005.11909763

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 journal › Review article › peer-review

7 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 language	English
Pages (from-to)	228-239
Number of pages	12
Journal	Measurement and Evaluation in Counseling and Development
Volume	37
Issue number	4
DOIs	https://doi.org/10.1080/07481756.2005.11909763
Publication status	Published - Jan 2005
Externally published	Yes

ASJC Scopus subject areas

Education
Developmental and Educational Psychology
Applied Psychology
Psychology (miscellaneous)

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10.1080/07481756.2005.11909763

Cite this

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title = "A proposed new {"}what if reliability{"} analysis for assessing the statistical significance of bivariate relationships",

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.",

author = "Onwuegbuzie, \{Anthony J.\} and Roberts, \{J. Kyle\} and Daniel, \{Larry G.\}",

year = "2005",

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doi = "10.1080/07481756.2005.11909763",

language = "English",

volume = "37",

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T1 - A proposed new "what if reliability" analysis for assessing the statistical significance of bivariate relationships

AU - Onwuegbuzie, Anthony J.

AU - Roberts, J. Kyle

AU - Daniel, Larry G.

PY - 2005/1

Y1 - 2005/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/13244278060

U2 - 10.1080/07481756.2005.11909763

DO - 10.1080/07481756.2005.11909763

M3 - Review article

AN - SCOPUS:13244278060

SN - 0748-1756

VL - 37

SP - 228

EP - 239

JO - Measurement and Evaluation in Counseling and Development

JF - Measurement and Evaluation in Counseling and Development

IS - 4

ER -

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

Abstract

ASJC Scopus subject areas

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