Abstract:
OBJECTIVES:The aim of this study was to assess the reliability, dimensionality and validity of the self-report questionnaire Health-Risk Attitude Scale (HRAS-13) in a sample of the general population and a patient population. METHODS:Sample 1 (n = 930) was recruited from the general population aged 18-65 years in the Netherlands. Sample 2 (n = 486) was recruited from the population of knee and hip osteoarthritis patients aged 45 and over, also from the Netherlands. Reliability was assessed using Cronbach's alpha, average inter-item correlation and item-total correlations. Dimensionality was examined using confirmatory factor analysis (CFA), principal component analysis (PCA) and bifactor analysis. Validity was assessed by performing known-group analysis using ANOVA tests. RESULTS:Cronbach's alphas of the HRAS-13 were 0.73 in sample 1 and 0.69 in sample 2. Reliability and dimensionality analyses differed slightly between the samples, and suggest that a short version of the HRAS may capture a general component of health-risk attitude. Validity assessment of known groups showed that the HRAS-13 and a likely HRAS-6 distinguished between subgroups of respondents based on most of the assessed characteristics, but not all. DISCUSSION:These findings are a preliminary indication that the HRAS-13 is a promising multidimensional instrument for measuring health-risk attitude. However, further research in various samples on decisions where health risks play a role is warranted to confirm the dimensionality of the HRAS-13 and the items to be retained in a full or a shorter version.
journal_name
Psychol Healthjournal_title
Psychology & healthauthors
Huls SPI,van Osch SMC,Brouwer WBF,van Exel J,Stiggelbout AMdoi
10.1080/08870446.2020.1851689subject
Has Abstractpub_date
2020-12-01 00:00:00pages
1-17eissn
0887-0446issn
1476-8321pub_type
杂志文章abstract:AIM:Our aim is to offer and illustrate a novel meta-methodology to enhance the rigour of method selection and understanding of results in pluralist qualitative research (PQR). METHOD:To do so, we make innovative use of articulation of four discrete dimensions characterising different forms of thematic analysis. We pro...
journal_title:Psychology & health
pub_type: 杂志文章
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