Training

Are you looking for data on the health and health care needs of California's diverse population? You've come to the right place.

From beginner, intermediate, and expert trainings on how to find and use California Health Interview Survey data via our AskCHIS and AskCHIS Neighborhood Edition online health query tools, to workshops on advancing health equity through data disaggregation, the UCLA Center for Health Policy Research has various video and PDF training materials to help you get the information you need.

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Video icon Video
California Health Interview Survey (CHIS)
Data Access Center (DAC) Online: How to Submit a Project Application

We are excited to announce that the new version of DAC Online is now live!

  • 12 minutes
  • Beginner
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California Health Interview Survey (CHIS)
California Health Interview Survey (CHIS) Data User Training: October 2023
Interested in learning how to access California Health Interview Survey (CHIS) data? Following the CHIS annual data release on October 4, 2023, the UCLA Center for Health Policy Research hosted a data user training webinar to demonstrate how to use CHIS' free online data tools.
  • 82 minutes
  • Intermediate
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California Health Interview Survey (CHIS)
CHIS Data User Training Webinar (2022)
Following the release of brand-new California Health Interview Survey (CHIS) data in October 2022, CHIS hosted a data user training webinar to demonstrate how to use CHIS' free online data tools to get data on a wide range of health topics across many sociodemographic factors.
  • 88 minutes
  • Intermediate
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California Health Interview Survey (CHIS)
California Health Interview Survey (CHIS) Advanced Data User Training (2022)
Presenters share an overview of free CHIS online data query tools, including AskCHIS (search for all CHIS health statistics at the county, region, and state level), AskCHIS NE (select health indicators at the local level by census tract, ZIP code, and city), Public Use Files, and the CHIS Pooling Macro.
  • 81 minutes
  • Intermediate
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Data Disaggregation
Legal and Regulatory Guidance for Racial/Ethnic Data Disaggregation in Health Data Sets
The National Network of Health Surveys, part of the UCLA CHPR, offers a series of workshops designed to improve the disaggregation of race and ethnicity measures in health data sources. Its goal is to boost the number of subpopulation categories made available to key constituencies working to improve health equity.
  • 95 minutes
  • Intermediate
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California Health Interview Survey (CHIS)
California Health Interview Survey (CHIS) Data User Training (2021)
This training webinar demonstrates how to use CHIS' free online data tools to get data on a wide range of health topics across many sociodemographic factors. The online tools include AskCHIS™, AskCHIS Neighborhood Edition™, CHIS 2021 Preliminary COVID-19 Estimates Dashboard, and Health Profiles.
  • 85 minutes
  • Beginner
Video icon Video
California Health Interview Survey (CHIS)
CHIS Data User Training Webinar (December 2021)
The California Health Interview Survey (CHIS) hosted a training webinar to demonstrate how to use CHIS' free online data tools -- AskCHIS, AskCHIS Neighborhood Edition, CHIS 2021 Preliminary COVID-19 Estimates Dashboard, and Health Profiles -- to get data on a wide range of health topics across many sociodemographic factors.
  • 85 minutes
  • Beginner
Video icon Video
California Health Interview Survey (CHIS)
CHIS Data User Training Webinar (December 2021)
The California Health Interview Survey (CHIS) hosted a training webinar to demonstrate how to use CHIS' free online data tools -- AskCHIS, AskCHIS Neighborhood Edition, CHIS 2021 Preliminary COVID-19 Estimates Dashboard, and Health Profiles -- to get data on a wide range of health topics across many sociodemographic factors.
  • 85 minutes
  • Beginner
Video icon Video
Data Disaggregation
Imputation Methods for Increasing Racial/Ethnic Data Disaggregation
Surveys offer first-person, self-reported data. But sometimes, survey data contains missing data in some response sets. Imputation is a technique for replacing missing data with a substitute value that retains the integrity of the full data set. This workshop discusses imputation strategies for racial/ethnic data disaggregation.
  • 89 minutes
  • Intermediate
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Data Disaggregation
Disaggregating Data Decision-making: Who, What, When?
This panel discusses key considerations when choosing to expand racial/ethnic categories in health data sets. Researchers shared their decision-making on what categories to include, what question-wording gets at the information desired, and what conditions should be present to trigger expanded racial/ethnic data disaggregation.
  • 92 minutes
  • Intermediate