Training

Training

Featured trainings

Video

Applying a Data Equity Lens to Data (UCLA Data Equity Center Series)

As the introduction to the series, this video featuring UCLA Center for Health Policy Research Director Ninez A. Ponce, PhD, MPP, provides an overview of the principles of data equity, benefits of representative data, and a framework for achieving your goals.
Applying a Data Equity Lens to Data (UCLA Data Equity Center Series)

Video

California Health Interview Survey (CHIS) Data User Training: August 2024

The California Health Interview Survey (CHIS) hosted a data user training webinar to demonstrate how to use AskCHIS™ Neighborhood Edition (NE). This training highlights the refreshed dashboard (now in Tableau) and creating maps and tables.
Man on monitor screen, looking at AskCHIS NE dashboard

Video

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!

Screenshot that reads "Data Access Center (DAC) Online Project Application Overview"

Search trainings

Applying a Data Equity Lens to Data (UCLA Data Equity Center Series)

Applying a Data Equity Lens to Data (UCLA Data Equity Center Series)

As the introduction to the series, this video featuring UCLA Center for Health Policy Research Director Ninez A. Ponce, PhD, MPP, provides an overview of the principles of data equity, benefits of representative data, and a framework for achieving your goals.

Engaging Relevant Communities to Achieve Data Equity (UCLA Data Equity Center Series)

Engaging Relevant Communities to Achieve Data Equity (UCLA Data Equity Center Series)

In this presentation, UCLA Data Equity Center Director AJ Scheitler, EdD offers a roadmap for engaging community members in each step of the data collection process.

Applying a Data Equity Lens to Questionnaire Design (UCLA Data Equity Center Series)

Applying a Data Equity Lens to Questionnaire Design (UCLA Data Equity Center Series)

This presentation by Market Decisions Research, in collaboration with the UCLA Center for Health Policy Research, provides a comprehensive overview of how to apply a data equity lens to questionnaire and discussion guide design.

Language Considerations to Promote Data Equity (UCLA Data Equity Center Series)

Language Considerations to Promote Data Equity (UCLA Data Equity Center Series)

Presented by Cardea, in collaboration with the UCLA Center for Health Policy Research, this module examines the critical role of language in facilitating equitable access to, analysis of, and dissemination of data.

Ensuring Fair Representation of All Communities in Data Analysis (UCLA Data Equity Center Series)

Ensuring Fair Representation of All Communities in Data Analysis (UCLA Data Equity Center Series)

This training, presented by NORC at the University of Chicago, in collaboration with the UCLA Center for Health Policy Research, equips participants with a structured framework and actionable strategies to ensure that data analysis accurately reflects the experiences and needs of all communities.

Applying Imputation to Achieve Fair Representation (UCLA Data Equity Center Series)

Applying Imputation to Achieve Fair Representation (UCLA Data Equity Center Series)

Presented by NORC at the University of Chicago, in collaboration with the UCLA Center for Health Policy Research, this presentation explores the application of imputation techniques to promote fair representation in survey research.

Applying Weights to Achieve Fair Representation (UCLA Data Equity Center Series)

Applying Weights to Achieve Fair Representation (UCLA Data Equity Center Series)

Presented by NORC at the University of Chicago, in collaboration with the UCLA Center for Health Policy Research, this training focuses on applying sample weighting techniques to improve the representativeness of survey data.