The two Doctoral courses on introductory and intermediate QCA topics aim to provide focused training on QCA, its design, its procedures, its prospects and limits, and its practical applications to participants who are interested in a methodological tool that enables them to deal with complex causal patterns. The course is designed as a research training combining theoretical blocks with hands-on work to prepare participants to independently carry out a crisp set QCA, multi-value QCA or fuzzy set QCA and to understand the basic epistemological and analytical foundations of configurational methods.
Registration deadline: May 13.
The two intensive two-day doctoral courses are divided in 4 daily sessions of 75 min each, taught by world-class faculty amongst an international crowd of participants. We will also offer two special sessions across the two courses, where transversal topics will be addressed:
day 1: visualization options in QCA: overview and pro's and con's and day 2: formatting of a QCA paper for submission to a journal (tips & good practices).
We not only welcome PhD researchers, postdocs, and graduate students from all kinds of study fields, but also professionals working outside of academia and interested in learning and applying new research techniques to their ongoing work.
The courses are taught in English. All course materials will therefore also be in English.
For the introductory level course: No prior knowledge is required. However, basic knowledge of research design is desirable to follow the course. If in doubt, contact the instructors before participating. For the intermediate level course: some prior knowledge is required; in particular: (1) knowledge of the epistemological foundations of QCA; (2) having followed some introductory-level QCA training, or having acquired equivalent skills through self-learning;
(3) some hands-on experience in applying QCA, including software use (at least basic protocols). In addition, some knowledge of the basic functions of R and RStudio will be useful to start working with the software from session 1. If in doubt, contact the instructors before registering.
Each doctoral course is worth 3 credits (pass/fail grade). In order to be awarded the credits, registered participants will need to fully attend the course (90% attendance), participate in-class activities, doing necessary reading and/or other work prior to, and after, class. A take-home paper will need to be prepared (2500–4000 words, excluding title page, references and appendices),
which will consist of a replication of a published QCA study (with TOSMANA software or R environment) or a QCA analysis based on own data. More information about assignments will be provided in class.
22 and 23 May, 2019
Antwerp Management School, Boogkeers 5, 2000 Antwerp
We will provide coffee, tea, and snacks during breaks
Regular registration: 280 EUR VAT incl.
Early bird (registrations before February 25): 200 EUR VAT incl.
Sponsor institutions: 100 EUR VAT incl.
Regular registration: 340 EUR VAT incl.
Early bird (registrations before February 25): 250 EUR VAT incl.
Sponsor institutions: 100 EUR VAT incl.