Validating a scale of health beliefs in health prevention screenings among Chinese older adults
We aimed to examine the psychometric properties of a modified 16-item Attitudinal Index (AI), a measure of Chinese older adults’ beliefs about preventive health screenings. We used the 2013 Shanghai Elderly Life and Opinion data including 3,418 respondents age 60+ who were randomly split into traini...
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sg-smu-ink.soss_research-34232017-08-10T07:42:07Z Validating a scale of health beliefs in health prevention screenings among Chinese older adults XU, Hanzhang STRAUGHAN, Paulin Tay PAN, Wei ZHEN, Zhihong WU, Bei We aimed to examine the psychometric properties of a modified 16-item Attitudinal Index (AI), a measure of Chinese older adults’ beliefs about preventive health screenings. We used the 2013 Shanghai Elderly Life and Opinion data including 3,418 respondents age 60+ who were randomly split into training and validation samples. We examined the validity and reliability of the modified AI. Psychometric evaluation of the modified AI revealed good response patterns. The overall scale had good reliability (Cronbach’s α = .835). Exploratory factor analysis yielded four factors: barriers, fatalism, unnecessary, and detects (Cronbach’s α = .815-.908). Confirmatory factor analysis of the modified AI’s factor structure verified its four-factor structure (comparative fit index = 0.913, standardized root mean square residual = 0.048). The validity and reliability of the modified AI support its cultural appropriateness in measuring health beliefs among Chinese elderly. Further psychometric evaluation should focus on testing concurrent and criterion validity. 2016-08-01T07:00:00Z text https://ink.library.smu.edu.sg/soss_research/2166 info:doi/10.1177/1043659616661392 Research Collection School of Social Sciences eng Institutional Knowledge at Singapore Management University Asian Studies Medicine and Health |
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Asian Studies Medicine and Health XU, Hanzhang STRAUGHAN, Paulin Tay PAN, Wei ZHEN, Zhihong WU, Bei Validating a scale of health beliefs in health prevention screenings among Chinese older adults |
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We aimed to examine the psychometric properties of a modified 16-item Attitudinal Index (AI), a measure of Chinese older adults’ beliefs about preventive health screenings. We used the 2013 Shanghai Elderly Life and Opinion data including 3,418 respondents age 60+ who were randomly split into training and validation samples. We examined the validity and reliability of the modified AI. Psychometric evaluation of the modified AI revealed good response patterns. The overall scale had good reliability (Cronbach’s α = .835). Exploratory factor analysis yielded four factors: barriers, fatalism, unnecessary, and detects (Cronbach’s α = .815-.908). Confirmatory factor analysis of the modified AI’s factor structure verified its four-factor structure (comparative fit index = 0.913, standardized root mean square residual = 0.048). The validity and reliability of the modified AI support its cultural appropriateness in measuring health beliefs among Chinese elderly. Further psychometric evaluation should focus on testing concurrent and criterion validity. |
format |
text |
author |
XU, Hanzhang STRAUGHAN, Paulin Tay PAN, Wei ZHEN, Zhihong WU, Bei |
author_facet |
XU, Hanzhang STRAUGHAN, Paulin Tay PAN, Wei ZHEN, Zhihong WU, Bei |
author_sort |
XU, Hanzhang |
title |
Validating a scale of health beliefs in health prevention screenings among Chinese older adults |
title_short |
Validating a scale of health beliefs in health prevention screenings among Chinese older adults |
title_full |
Validating a scale of health beliefs in health prevention screenings among Chinese older adults |
title_fullStr |
Validating a scale of health beliefs in health prevention screenings among Chinese older adults |
title_full_unstemmed |
Validating a scale of health beliefs in health prevention screenings among Chinese older adults |
title_sort |
validating a scale of health beliefs in health prevention screenings among chinese older adults |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2016 |
url |
https://ink.library.smu.edu.sg/soss_research/2166 |
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1770573499777155072 |