***** To join INSNA, visit http://www.sfu.ca/~insna/ ***** Hi. I'm a graduate student in clinical psychology, working on a study of self- and peer-perceptions of dysfunctional personality. My sample consists of 2000 military recruits, divided into training groups of about 40 or 50. We also have self-report ratings of how well each participant knows each other participant in his or her training group. I'm trying to find social network characteristics that moderate peer-peer consensus (how two peers rate the personality of a third actor) and/or self-peer correspondence of personality judgments. I am particularly interested in finding sub-groups within the networks, on the hypothesis that correspondence of personality judgments within the sub-group will be higher than that across sub-groups. I don't have any formal training in social network analysis, but have been reading as much of the literature as possible. Now, however, I've reached a bit of an impasse, and hoped to get some feedback from this group. Based on what I've read, I think I understand the differences between the different types of social cohesion measures (cliques, k-plexes, lambda sets, etc.). However, I'm not sure how to choose a particular one to use. Does my question of interest (finding groups that improve correspondence among raters) lend itself more to one or another of the techniques? A related question: I am using UCINet V, and am interested in the Factions procedure of that program, which uses a Tabu algorithm to partition the network. However, this procedure forces all actors into one of the groups, whereas the social cohesion measures do not require every actor to have a group membership. Are there any benefits or limitations that I should be aware of when forcing group membership? Is this sort of procedure used in conjunction with or instead of social cohesion techniques? I'd appreciate any suggestions or advice that you may have, either via the list or backchannel. Thanks in advance, Allan Clifton -------------------------------------- Allan Clifton, M.A. Department of Psychology University of Virginia _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.sfu.ca/~insna/). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.