Applying Rasch model analysis in the development of the cantonese tone identification test (CANTIT).

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Applying Rasch model analysis in the development of the cantonese tone identification test (CANTIT).

Int J Audiol. 2017 Mar 01;:1-14

Authors: Lee KYS, Lam JHS, Chan KTY, van Hasselt CA, Tong MCF

Abstract
OBJECTIVE: Applying Rasch analysis to evaluate the internal structure of a lexical tone perception test known as the Cantonese Tone Identification Test (CANTIT).
DESIGN: 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).
STUDY SAMPLE: 200 children with normal hearing and 141 children with hearing impairment were recruited.
RESULTS: 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.
CONCLUSIONS: 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.

PMID: 28635504 [PubMed - as supplied by publisher]

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