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Dear All:

As a reminder, please note that registration for the* MRQAP-workshop* is
still open: https://urldefense.proofpoint.com/v2/url?u=https-3A__www.fourwav.es_view_717_registration_&d=DwIBaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=jLClxtPjWbYFuRbbHkTPPNbgdWu_JTgE9SPhJlmk5WE&s=k6J4N0DKCkfAJaNPDadZ2z7S3_3NVI7-rGEsN0sYbqY&e=

Hope to see you soon in Montreal.

David Dekker

*Keywords: multiple regression, quadratic assignment procedure (QAP),
permutation tests, network data, exogenous groupings, time-series and
geographic network data.*

This workshop focuses on *3 topics* regarding the *multiple regression
quadratic assignment procedure*, which encompasses* permutation-based tests
for network data* in the regression analyses framework. First, the workshop
provides an *introduction *into permutation-based testing by explaining the
necessity to deal with structural dependencies when analyzing network-like
data and demonstrating the mechanics of permutations of data organized in
square matrices. Second, in the workshop we will be elaborating on the use
of *different permutation scheme's for different tests*. F-test for model
significance and t-tests for coefficient significance require different
permutation approaches. Specifically, the different uses of Y-permutation
and DSP-permutation will be clarified. Third, an *extension of linear
models dealing with exogenous grouping* will be presented to the
participants. The usefulness of introducing further restrictions on
permutations to deal with exogenous groupings of ties demonstrates the
versatility of the approach. An application with* time-series and
geographic network data *is presented. Participants may expect to feel more
proficient in using permutation techniques and encouraged to explore the
wide range of possible applications for permutation testing that remain
unutilized to this day. Technical requirements involve a basic
understanding of correlation and regression analyses, and, access to UCInet
and R's statnet.

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