Production frequency, semantic typicality, and familiarity of noun exemplars for elderly adults

Jee Eun Sung, Kyeong Ok Mo, Ji Sun Lee, Hyun Sub Sim

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Objectives: This study seeks to provide normative data on the production frequency and semantic typicality and familiarity of noun exemplars by semantic category for elderly individuals. Methods: A total of 198 individuals participated in the study. In Experiment 1, participants were categorized into two groups: professionals involved in dementia care and primary care-givers of patients with dementia. They ranked 17 semantic categories based on the priority of the stimuli required for naming treatment. Forty-five normal elderly individuals (NEIs) participated in Experiment 2, in which they were administered a generative naming task. Seventy-eight NEIs participated in Experiment 3, where they rated the semantic typicality and familiarity of each noun exemplar obtained from Experiment 2. Results: Experiment 1 revealed that 'food (dish)' was ranked as a top priority followed by 'clothes', 'fruits', and 'body parts'. In Experiment 2, 'body parts' generated the highest mean of production frequency among 17 semantic categories. Results from Experiment 3 suggested that the semantic typicality was positively and strongly correlated with the familiarity ratings. Conclusion: These results are clinically important and meaningful given that they provide preliminary guidelines to select stimuli for the naming treatment of individuals with neurogenic language disorders.

Original languageEnglish
Pages (from-to)213-225
Number of pages13
JournalCommunication Sciences and Disorders
Volume19
Issue number2
DOIs
StatePublished - 2014

Keywords

  • Familiarity
  • Naming
  • Production frequency
  • Semantic typicality

Fingerprint

Dive into the research topics of 'Production frequency, semantic typicality, and familiarity of noun exemplars for elderly adults'. Together they form a unique fingerprint.

Cite this