Preliminary normative data for 12 categories using semantic verbal fluency: The role of animacy

Verbal fluency tasks are a common part of neuropsychological batteries and are frequently used in clinical and research practices to support the diagnosis of neurological impairments. Semantic verbal fluency is most frequently examined using only the category of animals. Little is known about the differences other semantic categories may present on semantic verbal fluency performance. The purpose of this study was to establish preliminary categorical normative data across twelve categories comprising of different animate and inanimate categories using semantic verbal fluency in neurotypical Lebanese-speaking adults and to determine the impact of category affiliation (animacy) on semantic verbal fluency performance. The task was administered to seventy female and male adults aged between 19 and 79 years having different educational levels. Participants generated the greatest number of exemplars for the category of body parts. Participants then produced exemplars in the following decreasing order: animals, vegetables, fruits, clothes, kitchen utensils, naturals, electronics, furniture, means of transportation, tools, and accessories. The animate categories were associated with the greatest number of exemplars compared to the inanimate. Clustering strategy might have been reinforced by the shared properties of animates.