Development and testing of a comprehensive ageing problem scale for community-living older adults in South Korea
Bibliographic Data
| ID | 6233794 |
|---|---|
| Authors | Minhong Lee (0000-0002-0624-4298, Dong-Eui University), Soon Eun Kim (Seoul National University, corresponding author), Jimin Choi (0000-0001-9810-8578, Seoul National University), Sang Weon Kim (Dong-Eui University), Hwahwan Kim (0009-0009-4953-0567, Chonnam National University) |
| Year | 2016 |
| Volume | 24 |
| Issue | 2 |
| Pages | 182-195 |
| Publication date | 2016-05-03 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Asian Journal of Political Science (JOURNAL) |
| Journal identifiers | ISSN: 0218-5377 • E-ISSN: 1750-7812 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/02185377.2016.1172247 |
| OpenAlex | W2461558892 |
| Language | EN |
| References cited | 16 |
This study was undertaken to develop and validate an instrument for gerontological policymakers, practitioners, and researchers to comprehensively assess the nature and severity of problems experienced by older adults. The Comprehensive Ageing Problem Scale (CAPS) for older adults living in the community was created as a reliable and valid instrument that is easy to use. A cross-sectional strategy was utilized, in which a total sample of 1060 older South Korean adults was selected (through a proportionate random-stratified sampling method) from four regions nationwide. The psychometric properties of the instrument were verified using item analysis, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA). To achieve cross-validity, the total sample was randomly divided into two groups. The first group (for the EFA) was employed to identify the factor structure of the initial scale. The second group (for the CFA) was used to confirm the factor structure of the revised scale with the first group. The final version of the 19-item CAPS with four factors showed good internal consistency and a CFA confirmed the acceptability of the model fit
Confirmatory factor analysis · Exploratory factor analysis · Geography · Internal consistency · Psychometrics · Sample (material · Scale (ratio · Statistics · Stratified sampling · Structural equation modeling · Aging and Gerontology Research · Clinical Psychology · Health and Wellbeing Research · Health disparities and outcomes · Mathematics · Medicine · Psychology · Gerontology
| Highly cited | No |
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