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Harmonizing the CBCL and SDQ ADHD scores by using linear equating, kernel equating, item response theory and machine learning methods

A problem that applied researchers and practitioners often face is the fact that different institutions within research consortia use different scales to evaluate the same construct which makes comparison of the results and pooling challenging.

Citation:
Jović M, Haeri MA, Whitehouse A, van den Berg SM. Harmonizing the CBCL and SDQ ADHD scores by using linear equating, kernel equating, item response theory and machine learning methods. Front Psychol. 2024;15

Keywords:
ADHD; IRT; data harmonization; kernel equating; linear equating; machine learning; test equating

Abstract:
A problem that applied researchers and practitioners often face is the fact that different institutions within research consortia use different scales to evaluate the same construct which makes comparison of the results and pooling challenging.