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Polychoric Correlation With Ordinal Data in Nursing Research.

Frank KiwanukaJuho KopraNatalia Sak-DankoskyRose Clarke NanyongaTarja Anneli Kvist
Published in: Nursing research (2022)
A polychoric correlation suggests stronger associations, and consequently, the approach can be more credible with an ordinal Likert scale than Pearson correlations. Hence, polychoric confirmatory factor analysis can address a larger proportion of variance. In nursing research, polychoric confirmatory factor analysis can confidently be utilized when conducting confirmatory factor analysis of ordinal variables in Likert scales. Furthermore, when a Pearson confirmatory factor analysis is used for ordinal Likert scales, the researcher should carefully evaluate the difference between the two approaches and justify their methodological choice. Even though we do not suggest dispensing with Pearson correlations entirely, we recommend using polychoric correlation for ordinal Likert scales.
Keyphrases
  • healthcare
  • mental health
  • machine learning
  • quality improvement
  • electronic health record
  • artificial intelligence