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An ICPSR Summer Program in Quantitative Methods Topical Workshop Learn how structural equation models compare to other approaches to causal inference, and how to apply it to your research! Goals: Course goals include providing participants with the skills necessary to apply causal inference using a structural equation modeling approach in their own research and to […]
An ICPSR Summer Program in Quantitative Methods Topical Workshop If you're interested in phenomenon that moves over time, this is the Workshop for you! Goals: To teach students the problems that "memory" in time series poses to OLS models. To teach students how to choose the proper time series model for their research question. To […]
Population Research Discovery Seminars Natasha Iskander, Wagner School of Public Service, New York University With the rightward turn of governments in migrant-receiving countries, policy approaches to labor immigration have shifted from an emphasis on labor market integration to the punitive enforcement of controls against migrant workers who are undocumented or otherwise out of status. These hardline […]
An ICPSR Summer Program in Quantitative Methods Topical Workshop Summarize, visualize, and model network data using R and the Netify package. Goals: Introduce the core concepts of network analysis, emphasizing practical applications for social science research. Guide participants through summarizing, visualizing, and modeling network data using R and the netify package. Equip attendees with a […]
Population Research Discovery Seminars Holly Hummer, Sociology, University of British Columbia Co-Sponsor: Population Health
Want a chance to work with HRS Data with experts on hand to help? Register for the HRS Summer Workshop today! Virtual June 2-6, 2025 The Health and Retirement Study June workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS […]
As the U.S. population ages and the number of individuals living with serious illnesses such as cancer, dementia, heart disease, and Parkinson’s disease continues to grow, family members and others will increasingly find themselves in the position of caregiver. The National Academies of Science, Engineering, and Medicine will host a hybrid, 1.5-day public workshop June […]
The International conference on Applied Science, Engineering and Technology (ICAET) will be held on June 09-11, 2025 in Amsterdam, Netherlands. ICAET2025 represents a vital gathering that unites experts and enthusiasts from diverse disciplines worldwide. This event serves as a dynamic forum where cutting-edge research, technological advancements, and practical applications converge to address global challenges and […]
An ICPSR Summer Program in Quantitative Methods Topical Workshop It's the return of our popular Workshop for data librarians and others who support data users and researchers! Goals: Develop understanding of and comfort with the core aspects of data services and support, including discoverability, use, acquisition, and analysis through practice and collaborative hands-on activities. Create […]
Attendees will learn all about the contents of the CE Public Use Microdata files, and how to use them in their own work. "Hands-on" training sessions start with the basics, and build to advanced topics. As part of the process, researchers who are currently using the microdata in projects describe their experiences with them. That is, while […]
An ICPSR Summer Program in Quantitative Methods Topical Workshop When and how to use Causal Machine Learning in your research, including interpretation and review of results. Goals: Develop an understanding and familiarity with Causal Machine Learning (CML) Enables participants to confidently apply CML methods in their own research Impart a framework for CML that enables […]
An ICPSR Summer Program in Quantitative Methods Topical Workshop Fundamentals and common pitfalls in regression analysis, whether you're new to regression or looking for a refresher. Goals: Learn OLS fundamentals: Build, interpret, and critique simple regression models. Diagnose common pitfalls: Spot and address issues like omitted variables, outliers, and heteroskedasticity. Gain practical R skills: Clean […]
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