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Combining cycles of the Canadian Community Health Survey
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by Steven Thomas and Brenda Wannell
Abstract
Background
A single cycle of the Canadian Community Health Survey (CCHS) may not meet researchers' analytical needs. This article presents methods of combining CCHS cycles and discusses issues to consider if these data are to be combined. An empirical example illustrates the proposed methods.
Data and methods
Two methods can be used to combine CCHS cycles: the separate approach and the pooled approach. With the separate approach, estimates are calculated for each cycle separately and then combined. The pooled approach combines data at the micro-data level, and the resulting dataset is treated as if it is a sample from one population.
Results
For the separate approach, it is recommended that the simple average of the estimates be used. For the pooled approach, it is recommended that weights be scaled by a constant factor where a period estimate covering the time periods of the individual cycles can be created. The choice of method depends on the aim of the analysis and the availability of data.
Interpretation
Combining cycles should be considered only if the most current period estimates do not suffice. Both methods will obscure cycle-to-cycle trends and will not reveal changing behaviours related to public health initiatives.
Keywords
data collection, data pooling, meta-analysis, statistical data interpretation
Findings
The Canadian Community Health Survey (CCHS) consists of two cross-sectional sample surveys. The .1 cycle collects general health information from more than 120 health regions, while the .2 cycle focuses on specific health topics and collects data for estimation at the provincial level. [Full text]
Authors
Steven Thomas (1-613-951-7300; Steven.Thomas@statcan.gc.ca) is with the Household Survey Methods Division, and Brenda Wannell (1-613-951-8554; Brenda.Wannell@statcan.gc.ca) is with the Health Statistics Division at Statistics Canada, Ottawa, Ontario, K1A 0T6.
