Abstract
This chapter provides a comprehensive review of data quality of the third wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in 2002 in terms of proxy use, nonresponse rate, sample attrition, and reliability and validity of major health measures. The results show that the data quality of the 2002 wave of the CLHLS is generally good. Some recommendations in use of the dataset are provided.
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Keywords
- Accuracy of imputation
- Bias
- Convergent Cronbach’s
- alpha coefficient
- Data assessment
- Discriminant validity
- Don’t know answer
- Factual question
- Full proxy response
- Homogeneity
- Imputation
- Inconsistent responses
- Internal consistency
- Item nonresponse
- Item-total
- Item-total correlations
- Knowledgeable proxy
- Minimum reliability coefficient
- Missing completely at random
- Missing item
- Missing value
- Multiple imputation
- Multiple item scale
- Next of kin
- Nonresponse
- Nonresponse rate
- Objective question
- Proxy
- Proxy reporter
- Proxy response
- Proxy use
- Reliability
- attrition
- Significant other
- Sources of error
- Unit nonresponse
- Validity
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Gu, D. (2008). General Data Quality Assessment of the CLHLS. In: Yi, Z., Poston, D.L., Vlosky, D.A., Gu, D. (eds) Healthy Longevity in China. The Springer Series on Demographic Methods and Population Analysis, vol 20. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6752-5_3
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