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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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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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
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Data Disaggregation
Strategies in Mitigating Disclosure Risk in Disaggregated Racial/Ethnic Data
This presentation reviews several commonly used statistical disclosure limitation (SDL) techniques that are used to protect sensitive government data. The presenter demonstrates these techniques in practice by presenting case studies and shares useful resources for further guidance on available techniques used to protect its data.
  • 91 minutes
  • Intermediate
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Data Disaggregation
Collection and Reporting of Data on the Multiracial Population
This seminar discusses trends in capturing multiracial identity and the implications for researchers. As more surveys allow respondents to identify with the multiple races that reflect their identity, data managers are working on strategies for developing the best methods to most accurately reflect the population.
  • 92 minutes
  • Intermediate
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Data Disaggregation
Coding and Machine-Learning Strategies for Disaggregated Racial/Ethnic Data
This seminar helps the audience understand the capacity for machine learning, addresses the barriers to data disaggregation, and discusses what to consider when using technology as a solution to improve your data disaggregation.
  • 94 minutes
  • Intermediate
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Data Disaggregation
Advanced Weighting Strategies for Disaggregated Racial/Ethnic Data
This seminar discusses the ways in which survey weighting processes can and cannot be used to improve the representativeness of data on small and disaggregated populations within population surveys.
  • 93 minutes
  • Intermediate
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Data Disaggregation
User Experience Accessing Disaggregated Racial/Ethnic Data
This presentation reviews commonly used statistical disclosure limitation (SDL) techniques that are used to protect sensitive government data, demonstrates these techniques in practice, and shares several useful resources that the audience can refer to for further guidance on available techniques used to protect its data.
  • 85 minutes
  • Intermediate
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Data Disaggregation
Question Wording & Response Sets for Disaggregated Racial/Ethnic Data
Disaggregated race/ethnicity data is needed to expose health inequities and inform policies and programs to address those inequities. In this webinar, four researchers talk about data disaggregation and working with collecting data for populations in New York, one of the most diverse populations in the U.S. and in the world.
  • 88 minutes
  • Intermediate
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Data Disaggregation
Disaggregated Racial/Ethnic Data: Considerations for Data Collection and Processing
The workshop explores effective strategies to ensure your data represents the true diversity of your population. The discussion includes decision-making approaches, community engagement strategies, and opportunities to discuss specific project needs.
  • 98 minutes
  • Intermediate