The Value of Bayesian Methods for Accurate and Efficient Neuropsychological Assessment.
| Autor: | Huygelier H; Department of Brain & Cognition, KU Leuven, Leuven, Belgium., Gillebert CR; Department of Brain & Cognition, KU Leuven, Leuven, Belgium., Moors P; Department of Brain & Cognition, KU Leuven, Leuven, Belgium. |
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| Jazyk: | angličtina |
| Zdroj: | Journal of the International Neuropsychological Society : JINS [J Int Neuropsychol Soc] 2022 Oct; Vol. 28 (9), pp. 984-995. Date of Electronic Publication: 2021 Oct 19. |
| DOI: | 10.1017/S1355617721001120 |
| Abstrakt: | Objective: Clinical neuropsychology has been slow in adopting novelties in psychometrics, statistics, and technology. Researchers have indicated that the stationary nature of clinical neuropsychology endangers its evidence-based character. In addition to a technological crisis, there may be a statistical crisis affecting clinical neuropsychology. That is, the frequentist null hypothesis significance testing framework remains the dominant approach in clinical practice, despite a recent surge in critique on this framework. While the Bayesian framework has been put forward as a viable alternative in psychology in general, the possibilities it offers to clinical neuropsychology have not received much attention. Method: In the current position paper, we discuss and reflect on the value of Bayesian methods for the advancement of evidence-based clinical neuropsychology. Results: We aim to familiarize clinical neuropsychologists and neuropsychological researchers to Bayesian methods of inference and provide a clear rationale for why these methods are valuable for clinical neuropsychology. Conclusion: We argue that Bayesian methods allow for a more intuitive answer to our diagnostic questions and form a more solid foundation for sequential and adaptive diagnostic testing, representing uncertainty about patients' observed test scores and cognitive modeling of test results. |
| Databáze: | MEDLINE |
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