***** To join INSNA, visit http://www.insna.org ***** 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. _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.