Monday, October 5, 2026 from 12noon-2PM ET,
Wednesday, October 7 2026, from 12noon-2PM ET,
and Friday, October 9, 2026, from 12noon-2PM ET
Early Registration
(until September 6, 2026) $750 per session, or $1,500 for all three sessions
Premium Registration
(all three sessions, includes a year subscription to Scholar) $2,500
Registration
$750 per session, or $1,750 for all three sessions
International Registration
(For attendees not based in the US) $600 per session or $1,500 for all three sessions
Group Registration
$600 per person per session, or $1,500 per person for all three sessions. Minimum of three people, all with the same payment amount, handled in one transaction.
Just the Recording
$1,499 includes one year subscription to Scholar tier of the Intersectionality Collective
Interested in registering for on or two sessions of this training? Email us.
MAIHDA is everywhere these days! But what is it? What does it have to do with intersectionality? And what does that acronym even stand for? This three-part training series introduces MAIHDA (Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy) as an innovative and highly flexible framework for quantitative intersectionality research. We will trace the origins and intellectual foundations of MAIHDA, including its connections to intersectionality theory and the key contributions of Professor Clare Evans, and we will discuss both the strengths and common limitations of MAIHDA applications in the literature. From there, we’ll move step‑by‑step through model specification, estimation, and interpretation, emphasizing practical decisions researchers must make when designing a MAIHDA study. Along the way, we’ll highlight data sources that are especially well-suited to MAIHDA, demonstrate basic analytic code, and showcase emerging extensions, such as models that incorporate contextual-level exposures and longitudinal data. By the end of the series, participants will have a clear conceptual understanding of MAIHDA, hands-on familiarity with its implementation, and a concrete toolkit for planning, executing, and critically evaluating MAIHDA-based projects.
Session 1:
Introduction to multilevel data structures and multilevel modeling; overview of MAIHDA’s history and when and why to use MAIHDA; and description of some of the risks of using MAIHDA when decontextualized from core themes of intersectionality.
Session 2:
Introduction to the foundations of MAIHDA, including model structure, post-estimation commands; overview of basic analytic code.
Session 3:
Case examples of extensions to the original MAIHDA approach (e.g., extensions to incorporate contextual-level exposures; longitudinal MAIHDA).