Different Methods of Quantifying Age As a Predictor of Rater Disagreements Lead to Diverging Conclusions

Analyzing age as a predictor of rater disagreement with different statistical approaches such as difference scores, Pearson correlation, and a tri-factor model leads to diverging conclusions. These results demonstrate the importance of carefully considering the methods used to quantify rater disagreement and its predictors, both in research and applied settings.