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.
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http://dx.doi.org/10.1080/14992027.2017.1294766 | DOI Listing |
Behav Res Methods
January 2025
Paris Lodron University Salzburg, Kapitelgasse 4-6, 5020, Salzburg, Austria.
This article addresses the problem of measurement invariance in psychometrics. In particular, its focus is on the invariance assumption of item parameters in a class of models known as Rasch models. It suggests a mixed-effects or random intercept model for binary data together with a conditional likelihood approach of both estimating and testing the effects of multiple covariates simultaneously.
View Article and Find Full Text PDFArch Phys Med Rehabil
January 2025
Department of Radiology, Weill Cornell Medicine, New York, NY, USA; Blythdale Children's Hospital, Valhalla, NY, USA.
The Cognitive and Linguistic Scale (CALS) was developed to serially monitor cognitive recovery of children and young people after severe acquired brain injury (ABI), during inpatient rehabilitation. The CALS can be used to derive Cognitive Ability Estimates (CAE) which are Rasch-propertied (unidimensional, interval-scale) and therefore may be ideally applied for use in research including within the context of clinical trials. Here, we used established statistical distribution-based and expert consensus-based methods to estimate the Minimal Clinically Important Difference (MCID) for CAE derived from the CALS.
View Article and Find Full Text PDFBreast
January 2025
Department of Plastic Surgery, Copenhagen University Hospital, Herlev and Gentofte, Denmark; Department of Clinical Medicine, University of Copenhagen, Denmark.
Aim/background: Patient-reported outcome measurement instruments are important tools in understanding a breast reconstruction's impact on the patients' quality of life. A psychometric validation is essential before applying a patient-reported outcome measurement instrument in clinical practice and research. The BREAST-Q is a specific, validated questionnaire for breast surgery outcomes that has been translated from English to Danish.
View Article and Find Full Text PDFFront Ophthalmol (Lausanne)
November 2024
Department of Specialty, Advanced Care and Vision Science, New England College of Optometry, Boston, MA, United States.
Psychol Methods
December 2024
Department of Philosophy, Sociology, Education and Applied Psychology, University of Padova.
Experiments with fully crossed designs are often used in experimental psychology spanning several fields, from cognitive psychology to social cognition. These experiments consist in the presentation of stimuli representing super-ordinate categories, which have to be sorted into the correct category in two contrasting conditions. This tutorial presents a linear mixed-effects model approach for obtaining Rasch-like parameterizations of response times and accuracies of fully crossed design data.
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