A Proposed New “What if Reliability” Analysis for Assessing the Statistical Significance of Bivariate Relationships
Bibliographic Data
| ID | 12098007 |
|---|---|
| Authors | Anthony J Onwuegbuzie (0000-0002-4569-5796, corresponding author), J Kyle Roberts, Larry G Daniel (0009-0002-4792-8183) |
| Year | 2005 |
| Volume | 37 |
| Issue | 4 |
| Pages | 228-239 |
| Publication date | 2005-01-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Measurement and Evaluation in Counseling and Development (JOURNAL) |
| Journal identifiers | ISSN: 0748-1756 • E-ISSN: 1947-6302 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1080/07481756.2005.11909763 |
| OpenAlex | W2591175801 |
| Language | EN |
| Citations received | 2 |
| References cited | 6 |
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
Bivariate analysis · Complement (music · Correlation · Data mining · Econometrics · Null (SQL · Null hypothesis · Reliability (semiconductor · Statistical analysis · Statistical hypothesis testing · Statistical significance · Statistics · Advanced Statistical Methods and Models · Advanced Statistical Modeling Techniques · Computer Science · Genetics and Plant Breeding · Mathematics · Psychology · Social Psychology
| Citations per year | 0.13 |
|---|---|
| Citation span | 2011 - 2015 (5) |
| Highly cited | No |