Components of variance and intraclass correlations for the design of community-based surveys and intervention studies - Data from the Health Survey for England 1994

The authors estimated components of variance and intraclass correlation coe fficients (ICCs) to aid in the design of complex surveys and community inte rvention studies by analyzing data from the Health Survey for England 1994, This cross-sectional survey of English adults included data on a range of lifestyle risk factors and health outcomes. For the survey, households were sampled in 720 postal code sectors nested within 177 district health autho rities and 14 regional health authorities. Study subjects were adults aged 16 years or more. ICCs and components of variance were estimated from a nes ted random-effects analysis of variance. Results are presented at the distr ict health authority, postal code sector, and household levels. Between-clu ster variation was evident at each level of clustering. In these data, ICCs were inversely related to cluster size, but design effects could be substa ntial when the cluster size was large. Most ICCs were below 0.01 at the dis trict health authority level, and they were mostly below 0.05 at the postal code sector level, At the household level, many ICCs were in the range of 0.0-0.3. These data may provide useful information for the design of epidem iologic studies in which the units sampled or allocated range in size from households to large administrative areas.