A comparison of techniques for deriving clustering and switching scores from verbal fluency word lists.

ABSTRACT:

Objective

To compare techniques for computing clustering and switching scores in terms of agreement, correlation, and empirical value as predictors of incident cognitive impairment (ICI).

Methods

We transcribed animal and letter F fluency recordings on 640 cases of ICI and matched controls from a national epidemiological study, amending each transcription with word timings. We then calculated clustering and switching scores, as well as scores indexing speed of responses, using techniques described in the literature. We evaluated agreement among the techniques with Cohen's κ and calculated correlations among the scores. After fitting a base model with raw scores, repetitions, and intrusions, we fit a series of Bayesian logistic regression models adding either clustering and s

SUBMITTER: Bushnell J 

PROVIDER: S-EPMC9518694 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature