Lee Kathy Y S, Lam Joffee H S, Chan Kit T Y, van Hasselt Charles Andrew, Tong Michael C F
a Department of Otorhinolaryngology, Head and Neck Surgery , The Chinese University of Hong Kong and Institute of Human Communicative Research, The Chinese University of Hong Kong , Hong Kong , ROC and.
b Department of Special Education and Counsellling , Education University of Hong Kong , Hong Kong, ROC.
Int J Audiol. 2017;56(sup2):S60-S73. doi: 10.1080/14992027.2017.1294766. Epub 2017 Mar 1.
Applying Rasch analysis to evaluate the internal structure of a lexical tone perception test known as the Cantonese Tone Identification Test (CANTIT).
A 75-item pool (CANTIT-75) with pictures and sound tracks was developed. Respondents were required to make a four-alternative forced choice on each item. A short version of 30 items (CANTIT-30) was developed based on fit statistics, difficulty estimates, and content evaluation. Internal structure was evaluated by fit statistics and Rasch Factor Analysis (RFA).
200 children with normal hearing and 141 children with hearing impairment were recruited.
For CANTIT-75, all infit and 97% of outfit values were < 2.0. RFA revealed 40.1% of total variance was explained by the Rasch measure. The first residual component explained 2.5% of total variance in an eigenvalue of 3.1. For CANTIT-30, all infit and outfit values were < 2.0. The Rasch measure explained 38.8% of total variance, the first residual component explained 3.9% of total variance in an eigenvalue of 1.9.
The Rasch model provides excellent guidance for the development of short forms. Both CANTIT-75 and CANTIT-30 possess satisfactory internal structure as a construct validity evidence in measuring the lexical tone identification ability of the Cantonese speakers.
应用拉施分析评估一种名为粤语声调识别测试（CANTIT）的词汇声调感知测试的内部结构。
开发了一个包含75个项目（CANTIT - 75）并配有图片和音轨的题库。要求受访者对每个项目进行四选一的强制选择。基于拟合统计、难度估计和内容评估，开发了一个包含30个项目的简短版本（CANTIT - 30）。通过拟合统计和拉施因子分析（RFA）评估内部结构。
招募了200名听力正常的儿童和141名听力受损的儿童。
对于CANTIT - 75，所有内拟合值和97%的外拟合值均<2.0。RFA显示总方差的40.1%由拉施测量解释。第一个残差成分在特征值为3.1时解释了总方差的2.5%。对于CANTIT - 30，所有内拟合值和外拟合值均<2.0。拉施测量解释了总方差的38.8%，第一个残差成分在特征值为1.9时解释了总方差的3.9%。
拉施模型为简短形式的开发提供了出色的指导。CANTIT - 75和CANTIT - 30在测量粤语使用者的词汇声调识别能力方面均具有令人满意的内部结构，作为结构效度的证据。
