Date(s) - 04/06/2018 - 04/07/2018
9:00 am - 5:00 pm
Temple University Center City
This two-day seminar from host Statistical Horizons provides a thorough introduction to multilevel modeling, a statistical framework that accounts for the nesting effect and avoids these problems, as well as those associated with earlier methods of aggregation and dis-aggregation. Throughout the seminar, many empirical examples are drawn from the behavioral, clinical, educational and economic disciplines. The popular software package Stata is used for all the examples, along with a detailed discussion of the command syntax and interpretation of the output.
Participants in this seminar can expect to come away with:
1. A nuanced understanding of the conceptual foundations and basic mathematical formulation of the multilevel model.
2. The ability to understand, interpret and explain the output from multilevel modeling software.
3. An appreciation of the advantages and disadvantages of multilevel modeling as compared with other approaches to nested data.
To benefit from this seminar, you should have the equivalent of two semesters of statistics: a good introductory course with some treatment of probability and random variables, and a course on linear models. Some knowledge of logistic regression will also be helpful but not essential.