Using repeated measures techniques to analyze cluster-correlated survey responses
Brown, G. G., Eicheldinger, C. R., & Chromy, J. R. (2005). Using repeated measures techniques to analyze cluster-correlated survey responses. In pp. 2799–2805. .
The researchers for the CAHPS® of Medicare Fee-For-Service and Disenrollee/Assessment surveys have used a repeated measures approach in SUDAAN to create individual level composite scores on a number of constructs (e.g. the CAHPS composite “Getting needed Health Care” combines four survey questions that ask a beneficiary about experiences with getting care needed). This approach, applicable to any survey analysis with cluster-correlated responses, estimates models that assume each question in the composite is a repeated measure. Advantages include models that adjust for covariates, account for the survey design, and perform hypothesis testing while preserving the CAHPS composite design. Traditionally the CAHPS composites are analyzed using the CAHPS Macro; however, the CAHPS Macro does not possess the ability to correctly conduct the hypothesis tests we required. Our goals are to 1) disseminate this useful technique to researchers using the CAHPS methodology and 2) generalize the technique to other cluster-correlated survey responses.