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CHIS Data Quality

CHIS Spring 2018 Address-Based Sampling Mail Push-to-Web Field Experiment 

The decline in response rates of random-digit-dialing (RDD) sampling and computer-assisted telephone interviewing (CATI) data collection and cultural shifts in telephone use has driven the UCLA Center for Health Policy Research to consider a methodological redesign of the California Health Interview Survey (CHIS) in order to implement more cost-effective methods that could supplement or replace RDD/CATI in future CHIS cycles.

A mode experiment conducted in the spring of 2018 in three California counties (Los Angeles, Santa Clara, and Tulare) explored a revised design for the CHIS which used an address-based sampling (ABS) frame with a mail push-to-web invitation with a CATI nonresponse follow-up. This report details the revised design and the results of the experiment in comparison to current production data in terms of response rates, cost, and impacts on key health indicators.

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