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Practicum in Multi-Level Models

This is a practicum course on models for multi-level growth curve data. This course is a natural sequel to E10.2040 Multi-Level Modeling Growth Curve. Building on the theory and examples developed in that course, students will participate in a guided, larger research project that employs multi-level growth curve models. Students will meet in groups with the instructor in a lab setting to fit, evaluate and describe these models. The final project for the course will consist of a 'results and discussion' section, journal article quality write-up.

Course #
APSTA-GE 2041
Credits
1
Department
Applied Statistics, Social Science, and Humanities

Professors

Marc Scott

Co-Department Chair, Professor of Applied Statistics; Co-Director of PRIISM

marc.scott@nyu.edu

Related Degree

Master of Science
Applied Statistics for Social Science Research

Learn advanced quantitative research techniques and apply them to critical policy issues across social, behavioral, and health sciences.

Two students looking at something on a computer