Using a Combination of Probability and Nonprobability Sampling Strategies for NHPI and LGBTQ Health Studies
Submission ID: 5948

Date: Wednesday, 12:45 PM to 2:15 PM 
Session: Session A - W12:45 - 2:15 PM

Primary Presenter

Todd Hughes, UCLA Center for Health Policy Research

Additional Authors or Round Table Presenters

Sean Tan, UCLA Center for Health Policy Research ,

Ninez Ponce, UCLA Center for Health Policy Research ,

Margie Engle-Bauer, SSRS ,

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Abstract

Measuring health indicators for historically underrepresented and underserved populations like Native Hawaiians and Pacific Islanders (NHPI) and Lesbian, Gay, Bisexual, Transgender and Queer (LGBTQ) individuals is important in developing programs to  improve the health outcomes among these groups.  However, survey sampling from these small population groups can be quite challenging, and may require the combined usage of multiple sampling approaches to obtain sufficient samples to produce reliable and representative estimates.

In 2019 and 2020, the UCLA Center for Health Policy Research conducted two studies focused on NHPI and LGBTQ individuals in California, to measure attitudes and behaviors regarding smoking and tobacco use as well as various tobacco use cessation strategies for the California Tobacco Control Program.  These two studies, called the California Pacific Islander Health Attitudes and the Behavior Study and the California Health Attitudes and Behavior Study, each started by re-contacting  LGBTQ and NHPI respondents of the California Health Interview Survey (CHIS) to form a sampling frame.  Additional sampling frames and other probability and non-probability methods were also used to various degrees, including Respondent-Driven Sampling (RDS), convenience sampling, and conducting follow-up interviews with respondents from multiple other population surveys.  This paper will present the methods used, describe the effectiveness and challenges for each, and explore how the data were processed to release data for the NHPI and LGBTQ populations.