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<div dir="ltr"><div dir="ltr"><div dir="ltr"></div><div>Hi all,</div><div><br></div><div dir="ltr">I was wondering if anyone could provide feedback on an analytical question. I have longitudinal sociocentric network data of a college class. At each timepoint (I have network data at 2 timepoints), participants nominate up to 10 of their friends. I am considering using latent profile analysis to identify latent groups of people based on their changes in alcohol use behavior using this data. Specifically, I plan to use average number of drinks, maximum number of drinks, and number of heavy drinking episodes at both timepoints to identify latent groups. Is it possible to conduct a latent profile analysis with social network data? Specifically, is it possible to account for the interdependence in the data? <br></div><div dir="ltr"><br></div><div>Thank you,</div><div>Hannah Doucette</div><div dir="ltr">-- <br><div dir="ltr" class="gmail_signature"><div dir="ltr"><div><b>Hannah Doucette, PhD</b></div>T32 NIAAA Postdoctoral Fellow <div>Center for Alcohol and Addiction Studies </div><div>Department of Behavioral and Social Sciences  </div><div>Brown University School of Public Health </div></div></div></div></div></div>
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