1.南京医科大学附属儿童医院 南京 210008
2.南京医科大学康复医学院 南京 211166
张琳 硕士在读 技师;研究方向:孤独症评估与治疗
林枫,E-mail:peterduus@njmu.edu.cn
收稿:2025-06-03,
纸质出版:2026-05-15
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张琳,林枫,高夫宁.中文版孤独症治疗评估量表的摩肯量表分析[J].中国听力语言康复科学杂志,2026,24(03):300-305.
ZHANG Lin,LIN Feng,GAO Fu-ning.Mokken Scale for Functional Assessment of Children with Autism Spectrum Disorderbased on ATEC[J].Chinese Scientific Journal of Hearing and Speech Rehabilitation,2026,24(03):300-305.
张琳,林枫,高夫宁.中文版孤独症治疗评估量表的摩肯量表分析[J].中国听力语言康复科学杂志,2026,24(03):300-305. DOI: 10.3969/j.issn.1672-4933.2026.03.017.
ZHANG Lin,LIN Feng,GAO Fu-ning.Mokken Scale for Functional Assessment of Children with Autism Spectrum Disorderbased on ATEC[J].Chinese Scientific Journal of Hearing and Speech Rehabilitation,2026,24(03):300-305. DOI: 10.3969/j.issn.1672-4933.2026.03.017.
目的
2
基于中文版孤独症治疗评估量表(autism treatment evaluation checklist, ATEC)析出适用于孤独症谱系障碍(ASD)儿童的摩肯量表(Mokken scale),并验证其信效度。
方法
2
采用最大变异采样原则,纳入ASD儿童进行横断面研究,完成ATEC中文版77个条目评估。根据健康计分策略(以无障碍或未受损记1分,反之记0分),将ATEC限定值转换为二值数据,并对其进行摩肯量表分析(Mokken scale analysis, MSA)。
结果
2
共纳入186名ASD儿童(男性150人,女性36人)。经MSA建立两种摩肯量表,包含37个条目的单调同质模型(monotone homogeneity model, MHM)以及含35个条目的双单调模型(double monotonicity model, DMM)。2个模型具有良好的信度,其潜在类别信度系数(latent class reliability coefficients, LCRC)分别为MHM 0.942 DMM 0.943。两者条目均覆盖ATEC的4个分量表。DMM总分与ATEC原始总分显著负相关(
P
0.001,
r
P
earson
=-0.900);与儿童孤独症评定量表(childhood autism rating scale, CARS)效度指标得分呈中等强度负相关(
P
0.001,
r
Winsorized
=-0.550)。难度最大的条目包括Ⅰ.12能够连贯说一小段话、Ⅲ.12具备想象力。Ⅳ.10嗜睡难度最小。
结论
2
基于中文版ATEC可析出信效度良好的摩肯量表用于孤独症谱系障碍儿童的功能评估,为后续参数型项目反应理论(parametric item response theory,pIRT)建模进行条目筛选。
Objective
2
To extract the Mokken scale for functional assessment of children with autism spectrum disorder based on the Autism Treatment Evaluation Checklist (ATEC)
and to evaluate its reliability and validity.
Methods
2
In this cross-sectional study
children diagnosed with ASD were recruited through maximum variation sampling. The Chinese version of ATEC
comprising 77 items
was assessed. Based on a health scoring strategy (where no impairment or difficulty was scored as 1
otherwise 0)
the ATEC scores were converted into binary data and subjected to Mokken Scale Analysis (MSA).
Results
2
The sample comprised 186 ASD children (male=150
female=36). MSA identified two scales: a Monotone Homogeneity Model (MHM) with 37 items and a Double Monotonicity Model (DMM) with 35 items. Both models demonstrated high reliability
with Latent Class Reliability Coefficients (LCRC) of 0.9420 (MHM) and 0.9432 (DMM). The items in both models covered all four subscales of the ATEC. The DMM total score correlated strongly negatively with original ATEC scores (
P
0.001
r
P
earson
=-0.90) and moderately negatively with Childhood Autism Rating Scale (CARS) scores (
P
0.001
r
Winsorized
=-0.55).The most challenging items included "Ⅰ.12 Often uses several successive sentences" and "Ⅲ.12 Shows imagination"
while "Ⅳ.10 Lethargic" was the least difficult.
Conclusion
2
The Mokken scales derived from the Chinese version of ATEC demonstrate good reliability and validity for functional assessment in children with ASD. These scales provide a foundation for subsequent item screening in PIRT modeling.
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