Friday, October 23, 2026, 12noon – 3PM ET
Friday November 6, 2026 12noon – 3PM ET
Early Registration
(until September 6, 2026) $750 per session, or $1,400 for both sessions
Premium Registration
(Both sessions, includes a year subscription to Scholar tier in the Collective) $2,000
Registration
$875 per session, or $1,600 for all three sessions
International Registration
(For attendees not based in the US) $1,200 both sessions only
Group Registration
$1,200 per person for both sessions only 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
The registration link is not yet available, but we will accept registration via Email.
Have you been struggling to find the right measures for your quantitative intersectionality research? Want to measure an intersectional construct for which no scales currently exist? Concerned that available measures may not be appropriate for the groups you plan to include in your study? We know this territory well and have designed this workshop series to help you gain proficiency in quantitative intersectional measurement. Specifically, this series of two workshops will provide you with the knowledge and skills necessary to develop new intersectionality measures for quantitative research, and to assess the validity and reliability of new and existing measures. Part 1 will walk you through the process of developing a new intersectional measure, from conceptualization through preliminary validation analyses. Part 2 will focus on advanced psychometrics, with a particular focus on evaluating measurement invariance (i.e., consistency of scale properties across groups), which is essential for intercategorical intersectionality studies. Both sessions will provide examples from prior studies (including analytic code) and opportunities for hands-on practice.
Part 1: Developing new self-report intersectional measures for quantitative research, Ayden Scheim, PhD
Key topics to be covered in Part 1 include:
- Conceptualizing inter- and intra-categorical measures consistent with core tenets of intersectionality;
- Generating items and instructions;
- Conducting cognitive interviews to evaluate and refine measures;
- Developing validation studies; and
- Applied examples of basic psychometric analyses
Part 2: Evaluating the validity and reliability of new and existing measures for quantitative intersectionality research, João Luiz Bastos, PhD
Key topics to be covered in Part 2 include:
- Assessing internal structure validity (dimensionality, item-factor specificity, item discrimination/reliability, and redundancy/local dependence)
- Building external construct validity evidence (convergent, criterion, and broader nomological network evidence)
- Evaluating measurement invariance across intersectional strata, and discussing practical responses when invariance is violated