Digital Transformation of Korean Articulation and Phonology Assessment: Reliability and Validity of Hi-DongDong

Background/Objectives: Speech sound disorders (SSDs) are common in childhood and affect literacy and academic achievement. Standardized assessments such as the Urimal Test of Articulation and Phonology (UTAP) rely on time-intensive manual scoring. We evaluated the reliability and validity of Hi-DongDong, a Delphi-developed digital articulation assessment. Methods: This prospective multicenter study across five institutions recruited in total 931 children aged 2–13 years from outpatient clinics and community childcare facilities. Speech samples obtained with Hi-DongDong and UTAP-1 or UTAP-2 were independently evaluated by three experienced speech–language pathologists. Analyses were conducted on participants with valid paired datasets, using intraclass correlation coefficients (ICCs), Pearson correlations, Wilcoxon signed-rank tests, and Bland–Altman analyses. Results: Inter-rater reliability was excellent (ICC ≥ 0.96). Inter-instrument reliability was good to excellent for total percentage of correct consonants (PCC) and total PCC–revised. All outcomes correlated significantly with UTAP (r = 0.347–0.939, p < 0.001). Utterance-level consonant accuracy indices showed minimal mean bias, whereas phonological mean length of utterance, vowel accuracy, and word accuracy showed systematic bias or wide limits of agreement, precluding interchangeable use. Conclusions: Hi-DongDong showed excellent inter-rater reliability and concurrent validity, particularly for consonant accuracy; however, its diagnostic accuracy remains unknown, and it cannot yet replace standardized diagnostic thresholds.

Authors

Institutions

Publication Details

Journal
Children
Published
2026-10-13
DOI
https://doi.org/10.3390/children13101394
Primary Topic
Language Development and Disorders
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital Transformation of Korean Articulation and Phonology Assessment: Reliability and Validity of Hi-DongDong

Jee Hyun Suh, Jin Young Ko, Jaewon Lee, Jinju Lee et al.
Children
Language Development and Disorders
article

Digital Transformation of Korean Articulation and Phonology Assessment: Reliability and Validity of Hi-DongDong

Jee Hyun Suh, Jin Young Ko, Jaewon Lee, Jinju Lee, Yulhyun Park, Ju Seok Ryu, Sejin Kwon
article en

Abstract

Background/Objectives: Speech sound disorders (SSDs) are common in childhood and affect literacy and academic achievement. Standardized assessments such as the Urimal Test of Articulation and Phonology (UTAP) rely on time-intensive manual scoring. We evaluated the reliability and validity of Hi-DongDong, a Delphi-developed digital articulation assessment. Methods: This prospective multicenter study across five institutions recruited in total 931 children aged 2–13 years from outpatient clinics and community childcare facilities. Speech samples obtained with Hi-DongDong and UTAP-1 or UTAP-2 were independently evaluated by three experienced speech–language pathologists. Analyses were conducted on participants with valid paired datasets, using intraclass correlation coefficients (ICCs), Pearson correlations, Wilcoxon signed-rank tests, and Bland–Altman analyses. Results: Inter-rater reliability was excellent (ICC ≥ 0.96). Inter-instrument reliability was good to excellent for total percentage of correct consonants (PCC) and total PCC–revised. All outcomes correlated significantly with UTAP (r = 0.347–0.939, p < 0.001). Utterance-level consonant accuracy indices showed minimal mean bias, whereas phonological mean length of utterance, vowel accuracy, and word accuracy showed systematic bias or wide limits of agreement, precluding interchangeable use. Conclusions: Hi-DongDong showed excellent inter-rater reliability and concurrent validity, particularly for consonant accuracy; however, its diagnostic accuracy remains unknown, and it cannot yet replace standardized diagnostic thresholds.

ChildrenVol. 13(10)
Hankyong National University (KR), Seoul National University Bundang Hospital (KR), Incheon Medical Center (KR)
Seoul National University Bundang Hospital, National IT Industry Promotion Agency
Openalex Percentile: Top 5%
Language Development and Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.