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- Title
Developing a shortened version of the dementia knowledge assessment scale (DKAS-TC) with a sample in Taiwan: an item response theory approach.
- Authors
Hung, Su-Pin; Liao, Yi-Han; Eccleston, Claire; Ku, Li-Jung Elizabeth
- Abstract
<bold>Background: </bold>The 25-item Dementia Knowledge Assessment Scale (DKAS2) is a widely used tool for measuring knowledge of dementia. To increase the applicability of the Chinese-language version of the tool (DKAS-TC) for the general public, this study aimed to develop a shortened version using the item response theory (IRT) approach.<bold>Methods: </bold>A total of 401 participants voluntarily completed a Chinese-language version of the DKAS2 questionnaire (DKAS-TC) at the start of dementia awareness training courses in 2020 and 2021. The four Rasch family models were used to analyze the dimensionality of the shortened scale (the DKAS-s) and to confirm its accuracy in measuring dementia knowledge.<bold>Results: </bold>The results justified supported the use of a dichotomous response scale for responding to the DKAS-s and demonstrated good fit of the data to a Rasch model with the four dimensions of "Causes and Characteristics", "Communication and Engagement", "Care Needs", and "Risks and Health Promotion". Moreover, we shortened the DKAS-TC by selecting items that had both above-average discriminative ability and above-average information. The DKAS-s retained 64.13% of the information contained in the DKAS-TC, resulting in a 16-item scale which retained four items in each of the original four dimensions. The DKAS-s also correlated highly (≥0.95) with the DKAS-TC and exhibited a sizeable range of difficulty of dementia knowledge.<bold>Conclusions: </bold>The DKAS-s is expected to be more efficient in field settings while retaining an acceptable level of psychometric properties when used as a survey instrument to measure the general public's knowledge of dementia.
- Subjects
TAIWAN; ITEM response theory; DEMENTIA; RASCH models; PSYCHOMETRICS
- Publication
BMC Geriatrics, 2022, Vol 22, Issue 1, p1
- ISSN
1471-2318
- Publication type
journal article
- DOI
10.1186/s12877-022-03596-1