What question did this study set out to answer?

To establish equivalencies among three primary effect size measures—ROC area (AUC), Cohen's d, and Pearson's r—and evaluate their utility in predictive and diagnostic research.

October 1, 2005Law and Human Behavior

Comparing effect sizes in follow-up studies: ROC Area, Cohen's d, and r.

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Authors

MRMarnie E. RiceUniversity of Lethbridge GHGrant T. HarrisNorthumbria Healthcare NHS Foundation Trust

Discussion

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Overview

Methodological analysis reveals conversion equivalencies among AUC, Cohen's d, and r in follow-up studies, suggesting numeric reporting improves diagnostic evaluation in forensic settings.

Key Points

To establish equivalencies among three primary effect size measures—ROC area (AUC), Cohen's d, and Pearson's r—and evaluate their utility in predictive and diagnostic research.
Derived mathematical equivalency conversions among AUC, Cohen's d, and r for follow-up study designs.
Assessed theoretical and practical constraints of each metric within forensic psychology and psychiatry evaluations.
Produced a reference table detailing direct conversions among AUC, Cohen's d, and r.
Demonstrated that AUC serves as the preferred index of predictive or diagnostic accuracy in forensic evaluations.
Advocated replacing ambiguous verbal effect-size labels with exact numerical values to minimize reporting bias.

Cite This Study

Rice et al. (2005) studied this question.

synapsesocial.com/papers/69d9fbf23e67f8d1386843cd https://doi.org/10.1007/s10979-005-6832-7

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October 1, 2005Law and Human Behavior

Comparing effect sizes in follow-up studies: ROC Area, Cohen's d, and r.

View Full Paper

Ask AI

Bookmark

Authors

MRMarnie E. RiceUniversity of Lethbridge GHGrant T. HarrisNorthumbria Healthcare NHS Foundation Trust

Discussion

Member takes

Overview

Methodological analysis reveals conversion equivalencies among AUC, Cohen's d, and r in follow-up studies, suggesting numeric reporting improves diagnostic evaluation in forensic settings.

Key Points

To establish equivalencies among three primary effect size measures—ROC area (AUC), Cohen's d, and Pearson's r—and evaluate their utility in predictive and diagnostic research.
Derived mathematical equivalency conversions among AUC, Cohen's d, and r for follow-up study designs.
Assessed theoretical and practical constraints of each metric within forensic psychology and psychiatry evaluations.
Produced a reference table detailing direct conversions among AUC, Cohen's d, and r.
Demonstrated that AUC serves as the preferred index of predictive or diagnostic accuracy in forensic evaluations.
Advocated replacing ambiguous verbal effect-size labels with exact numerical values to minimize reporting bias.

Cite This Study

Rice et al. (2005) studied this question.

synapsesocial.com/papers/69d9fbf23e67f8d1386843cd https://doi.org/10.1007/s10979-005-6832-7

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