Back to search

Article

Validity of a one-stop automatic algorithm for counting clusters and shifts in the Semantic Fluency Task

2024-01-30

Abstract excerpt

<title>Abstract</title> <p>We introduce a computational algorithm for the Semantic Fluency Task (SFT), which automatically counts clusters and shifts. We compared its output relative to human coders, and its performance in predicting executive functions (EF), intelligence, processing speed, and semantic retrieval, also against human coders. Correlations with EF subdomains and other cognitive factors closely resem...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
a27fb8c5-ca20-55c8-b579-e97d7d8d7fe4
DOI
10.21203/rs.3.rs-3833048/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Validity of a one-stop automatic algorithm for counting clusters and shifts in the Semantic Fluency TaskDOI 10.21203/rs.3.rs-3833048/v1
Select a neighboring publication to make it the new centre.