Skip to main content
Loading Events

Upcoming Events › Quantitative

Events Search and Views Navigation

Event Views Navigation

September 2021

Introduction to Multi-Level Modeling

September 8 @ 10:00 am - 4:00 pm
|Recurring Event (See all)

An event every 2 days that begins at 10:00 am, repeating until September 10, 2021

219 Davis Library, 208 Raleigh Street
Chapel Hill, NC 27514 United States
+ Google Map

At this time, we are planning for this to be an in-person class. If the university changes plans for the Fall semester, the format for this class may change to virtual. Introduction to Multilevel Modeling is a two-day workshop focused on the application and interpretation of multilevel models, also known as hierarchical linear models and mixed models, for the analysis of nested data structures. Nesting can arise from hierarchical data structures (e.g., siblings nested within family; patients nested within therapist),…

Find out more »

Introduction to Multi-Level Modeling

September 10 @ 10:00 am - 4:00 pm
|Recurring Event (See all)

An event every 2 days that begins at 10:00 am, repeating until September 10, 2021

219 Davis Library, 208 Raleigh Street
Chapel Hill, NC 27514 United States
+ Google Map

At this time, we are planning for this to be an in-person class. If the university changes plans for the Fall semester, the format for this class may change to virtual. Introduction to Multilevel Modeling is a two-day workshop focused on the application and interpretation of multilevel models, also known as hierarchical linear models and mixed models, for the analysis of nested data structures. Nesting can arise from hierarchical data structures (e.g., siblings nested within family; patients nested within therapist),…

Find out more »

October 2021

Time Series Analysis (Online)

October 4 @ 2:00 pm - 4:30 pm
|Recurring Event (See all)

An event every 2 days that begins at 2:00 pm, repeating until October 8, 2021

Online NC United States

This course will be offered via Zoom only. This 3-day (10/4, 10/6, and 10/8) online course will provide a basic introduction to time series analysis and its applications in social science research. We will cover time series regression and exploratory data analysis, ARIMA models, model identification/estimation, intervention analysis and other models used for causal inference. This course will use examples and hands-on labs in STATA. Participants should have a thorough understanding of regression analysis and some familiarity with STATA. This…

Find out more »
+ Export Events