1,349
Views
24
CrossRef citations to date
0
Altmetric
ORIGINAL ARTICLE

Psychometric characteristics of the Child Occupational Self-Assessment (COSA), Part Two: Refining the psychometric properties

, OTR/L MS &
Pages 147-158 | Published online: 12 Jul 2009
 

Abstract

Self-assessment is an appropriate way to support client-centered practice and promote personal development in young occupational therapy clients. This study, the second study in a series of two, sought to refine the psychometric properties based on previous analysis of the Child Occupational Self-Assessment (COSA), a self-report tool based on the Model of Human Occupation. The COSA comprises 24 statements, which the child rates in terms of personal competence and importance. The Rasch Rating Scale Model was used to evaluate the measurement properties of the Competence and Values scales that result from these self-ratings. The original three-point rating scale was expanded to four response categories in this study, which resulted in improved reliability and sensitivity. In this second study, the items once again coalesced to form measures of competence and values, and the order of items from less to more competence and value was similar to that in the first study, supporting the internal validity of the COSA scales. The results provide evidence that the COSA can be used as meaningful and reliable client-directed assessment tool as well as an outcome measure.

View correction statement:
Psychometric characteristics of the Child Occupational Self-Assessment (COSA), Part Two: Refining the psychometric properties

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.