Classes

A combination of courses, seminars, workshops, both online and in person, which teach on different mediums of research (qualitative and quantitative). Learn new theories, and modes of research from various classes and implement them in your field of study.


Conditional Process Analysis | 10/27-10/28

Two day seminar intended to describe the fundamentals of conditional process analysis, a class of models that allows mechanisms (i.e., indirect effects in a path model) to vary systematically as a function of one or more moderator variables. Strategies will also be offered to approach complex analyses and how to modify a model based on evidence acquired during analysis.

Seminar on Instrumental Variables | 10/27-28

The course will offer an in-depth survey of modern instrumental variables (IV) analysis. IV analysis is an important quasi-experimental technique with numerous applications in economics, the social and biomedical sciences, business, marketing, and education. The course will carefully dissect key technical and substantive assumptions to empower students.

Using Participating Methods in Social Research | 10/27

This workshop methodological and practical experience of walking methods, participatory theater methods to gain a better understanding of how participatory action research (PAR) approaches engage marginalized groups in research as co-producers of knowledge. The course aims to develop knowledge, understanding and confidence in employing mobile and participatory research methods.

Multilevel Modeling: A Second Course | 11/03-11/04

The seminar will present on a variety of multilevel extensions, including cutting-edge multilevel structural equation modeling to handle complex designs and modeling objectives. Throughout the seminar, empirical examples will be presented to illustrate key concepts. Participants in this seminar can expect to gain: mastery of advanced topics and a deeper understanding of the relationship between multilevel and structural equation modeling.

Applied Bayesian Data Analysis | 11/03-11/04

The course covers the theoretical and applied foundations of basic Bayesian statistical analysis with an emphasis on computational tools for Bayesian hierarchical models. We will discuss model checking, model assessment, and model comparison.

Multilevel Modeling: A Second Course | 11/03-11/04

The seminar will present on a variety of multilevel extensions, including cutting-edge multilevel structural equation modeling to handle complex designs and modeling objectives. Throughout the seminar, empirical examples will be presented to illustrate key concepts. Participants in this seminar can expect to gain: mastery of advanced topics and a deeper understanding of the relationship between multilevel and structural equation modeling.

Intensive Longitudinal Methods | 11/10-11/11

The seminar plans to teach how to analyze intensive longitudinal data by way of mixed models, also known as multilevel or hierarchical linear models. Other topics covered include: random intercepts 2- and 3-level mixed models with observations nested within days and days within subjects, or observations within waves and waves within subjects and estimating descriptive statistics.

Propensity Score Analysis | 11/10-11/11

This seminar provides a comprehensive introduction to propensity score methodology. It will focus on three closely related methods: propensity score matching and related methods, including greedy matching, optimal matching, and propensity score weighting, matching estimators, and propensity score analysis with non-parametric regression.

Introduction to Focus Groups | 11/17

This one-day training course will help participants develop skills in organizing and facilitating focus groups, and in analyzing focus group data. This course is suitable for those with little or no understanding of running a focus group, as well as those wishing to review and broaden their existing skills.

Creating Shareable Research Data | 11/28 – 11/29

This two-day workshop ill address these questions and more using a mixture of presentations and hands-on practical exercises. It will help improve your knowledge and skills on creating shareable social science research data, managing that data, and the archiving and publishing of that data at the end of your research project.

Advances in Diary Method for Qualitative Researchers | 12/01

The event will cover the practicalities, as well as the methodological and ethical decisions involved in using solicited diary method, such as getting diaries back, providing financial incentives, protecting the well-being and privacy of diarists and their diaries during the data collection phase, and techniques for analyzing diary data, including visual diaries.

Data Visualization | 12/01-12/02

This two-day seminar provides an intensive, hands-on introduction to the principles and practice of data visualization. It will begin with an overview of some basic principles. Students will learn how to produce and refine plots using ggplot, a powerful, versatile, and widely-used visualization library for R. Topics covered include plotting continuous and categorical variables, layering information on graphics.

Multilevel and Mixed Models | 12/01-12/02

Will provide an intensive introduction to multilevel models. After a brief conceptual introduction (including a discussion of the difference between random and fixed effects), it will begin with simple variance components models then move on to mixed models (random effects models with fixed covariates). Students will: Know the technical and substantive difference between fixed and random effects; understand what random intercept models, random coefficient models, and more.

Latent Class Analysis | 12/08-12/09

This two-day seminar will give you the theoretical background and applied skills to address interesting research questions using LCA. You will also be introduced to latent transition analysis, a longitudinal extension of latent class analysis. Other topics include model interpretation, model selection, model identification, multiple-groups LCA, measurement in-variance across groups, LCA with covariates and distal outcomes.

Longitudinal Data Analysis Using SAS | 12/08-12/09

In this seminar, you will learn how to do regression analysis of panel data—the most common type of longitudinal data—consisting of measurements of predictor and response variables at two or more points in time for many individuals. This course covers four methods for solving the problem of dependent observations: robust standard errors, generalized estimating equations, random effects models and fixed effects models.

Introduction to Conversation Analysis | 01/30

This one-day course is aimed at health professionals, researchers, academics and postgraduate students who have no experience of conversation analysis.  Everyone is welcome, regardless of research background. This course will introduce newcomers to the field of conversation analysis, help researchers decide if conversation analysis is the most appropriate methodology for their research purposes, and provide practical experience in transcription and data handling.

Introduction to Qualitative Interviewing | 01/31

This one-day course is aimed at health professionals, researchers, academics and postgraduate students who have little or no experience of qualitative interviewing.  Everyone is welcome, regardless of research background. The only requirements are an interest in qualitative interviewing and the desire to conduct better interviews. The course provides hands on practical experience of different qualitative interviewing skills.

Analyzing Qualitative Interviews | 02/01-02/02

This two day course, will be taught by Dr. Jenny Hislop and is aimed at health professionals, researchers, academics and postgraduate students who are planning to undertake or manage qualitative research using in-depth or semi structured interviews or those who have already collected qualitative interview data which they are unsure how to analyse. The course introduces the principles and practice of qualitative interview data analysis, with particular emphasis on thematic analysis techniques.