Qualitative Methods

Qualitative courses provide the conceptual context and practical training on conducting surveys, interviews, observations to better collect and analyse data in any field of research desired. Qualitative Methods courses are available to enhance and teach on ways to improve research in the field and in everyday setting. Courses are equipped with trained professionals, professors, and lectures in order to give the best and most up to date research established.


Casual Mediation Analysis | 04/13-04/13

The seminar will be 2 days and taught by Dr. Tyler Vanderweele and will discuss approaches to mediation analysis that are valid and and invalid in a practical use. It will also discuss the relationship between traditional methods for mediation in the biomedical and social sciences and new methods of causal inference for dichotomous, continuous, and time-to-event outcomes. Other topics include the use and implementation of sensitivity analysis (to assess how sensitive conclusions are to violations of assumptions) and extensions to multiple mediators.

Causal Inference with Directed Graphs | 04/20-04/21

The seminar will focus on building transferable intuition and skills for applied causal inference. We start by introducing the essential elements for causal reasoning and then use DAGs to discuss a range of important challenges in observational data analysis. Topics include: conditions for the identification of causal effects; d-separation; the difference between confounding, over-control, and selection bias.

Introduction to Social Network Analysis | 04/27-04/28

This course provides an introduction to doing research on social networks. The course is very hands-on, emphasizing mastering the software and using the concepts and methods to answer research questions. It also covers use of network analysis in applied settings such as management consulting and criminology.

Mediation, Moderation, and Conditional Process Analysis | 05/16-05/20

New seminar by Statistical Horizons focuses on two topics in causal analysis that are closely related and often confused. The 5 day seminar will hopes to teach about the underlying principles and the practical applications of these methods. The seminar is divided roughly into three parts:

Treatment Effects Analysis | 05/17-05/18

New course hosted by Statistical Horizons offers an in-depth survey of a family of techniques known as treatment-effects estimators. Treatment-effects analysis is a quasi-experimental technique for estimating causal effects from observational data using the potential outcomes or counterfactual framework.