Articles

A Study on Research Trends of Profound Developmental Disability using Keyword Network Analysis

AUTHOR :
Minyoung Kim
INFORMATION:
page. 235~250 / 2026 Vol.13 No.1
e-ISSN 2733-8495
p-ISSN 2383-5435

ABSTRACT

This study aimed to analyze research trends related to the most severe developmental disabilities using keyword network analysis. To this end, domestic academic journal articles related to ‘the most severe developmental disabilities’ published over the past 10 years, from 2015 to February 2026, were searched. The search was conducted via the Research Information Service (RISS), specifically targeting articles related to ‘the most severe developmental disabilities’ published in domestic journals over the past 10 years, from 2015 to February 2026. Consequently, 20 articles published from 2019, when articles related to ‘the most severe developmental disabilities’ first appeared, to February 2026 were retrieved. After excluding one duplicate article, 19 articles were selected for the final analysis. Subsequently, the Textom program was used for keyword network analysis to verify connectivity centrality and betweenness centrality through comparative analysis of major keywords and centrality analysis. Additionally, the results were visualized and presented through clustering analysis. The analysis results showed ‘institution’, ‘adult’. Terms such as ‘support,’ ‘employees,’ and ‘challenging behaviors’ were extracted, and TF-IDF and N-gram analyses for comparative keyword analysis yielded similar results. Through clustering analysis, three clusters were identified and named ‘Limitations of the challenging behavior intervention and support service system,’ ‘Program application,’ and ‘Necessity for strengthening employee duties,’ respectively. Based on the results of this study, domestic research trends related to severe developmental disabilities were analyzed, and future research directions were discussed and suggested.

Keyword :