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Basics of multilevel modeling: handling grouped data in education settings

Basics of multilevel modeling: handling grouped data in education settings

A 6-hour workshop taught by Ozan Jaquette, Ph.D.
Research Methods

Overview of our data management using Stata workshop

Most quantitative methods courses teach students how to analyze datasets that are ready for analysis. In real world, creating analysis datasets is often more time consuming and challenging than conducting analyses. The purpose of this workshop is to introduce participants to the core data managementskills necessary for creating analysis datasets. These skills will help researchers save time while increasing data quality. Our data management workshop uses Stata, which offers an excellent combination of data manipulation capabilities, user friendliness, and cutting-edge analytic techniques.

Expected outcomes of our data management using Stata workshop

By the end of the workshop participants will be able to:

Who should attend?

This workshop is intended for participants who have modest experience using Stata (e.g., a one-semester statistics class) and who have used Stata for basic data manipulation (e.g., creating variables, dropping specific observations), but do not have experience using Stata for complex data manipulation (e.g., performing calculations across observations, reshaping the structure of datasets). The two specific course prerequisites are (1) experience working with Stata do-files and (2) experience changing directories (i.e., the “cd” command) within Stata do-files.

If you are interested in propensity score matching, this is an excellent workshop to attend prior to our matching workshop.

Agenda

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About the instructor

Ozan Jaquette is an assistant professor of higher education at the University of Arizona. His research investigates change over time in the enrollment management behavior of colleges and universities. His work has appeared in top education journals, including the American Educational Research Journal, the Journal of Higher Education, and Research in Higher Education. He regularly teaches courses in higher education finance and applied statistics with a focus on program evaluation. He is a member of the Integrated Postsecondary Education Data System (IPEDS) Technical Review Panel and he has published a chapter on creating analysis datasets from IPEDS to conduct longitudinal analyses of organizational behavior.

Learn more about Dr. Jaquette here.