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Dear fellow RSiena users,
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<div>I tend to apply RSiena to problems that in Political Science are usually treated with binary dependent variable models, most commonly logit models.</div>
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<div>With logit models, because it is relatively simple, people often calculate a “percentage correctly predicted” of outcomes, and then perhaps list which specific outcomes were over- or underpredicted. This is generally (perhaps wrongly) considered as a good
check of the explanatory power of a model, and frequently requested by reviewers.</div>
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<div>I’m wondering if it would be possible to do the same in RSiena — predict (or rather simulate the networks given my estimated parameters), compare with the actually observed networks, and calculate a percentage correctly predicted in each wave?</div>
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<div>—Mark</div>
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<p class="MsoNormal" style="color: rgb(0, 0, 0); font-family: Helvetica; "><b><span lang="EN-CA" style="font-size: 9pt; font-family: Arial; color: rgb(0, 47, 101); ">Mark S. Manger</span></b><span lang="EN-CA" style="font-size: 7.5pt; font-family: Arial; "> <br>
Assistant Professor of Political Economy and Global Affairs</span></p>
<p class="MsoNormal" style="color: rgb(0, 0, 0); font-family: Helvetica; "><span lang="EN-CA" style="font-size: 7.5pt; font-family: Arial; ">Munk School of Global Affairs & Department of Political Science | University of Toronto<br>
Observatory Site | 315 Bloor Street West | Room 212<br>
Toronto, ON M5S 0A7<br>
Phone: 416-946-8927 | Fax: 416-946-8877<o:p></o:p></span></p>
<span lang="EN-CA" style="color: rgb(0, 0, 0); font-size: 7.5pt; font-family: Arial; "><a href="mailto:mark.manger@utoronto.ca">mark.manger@utoronto.ca</a><br>
</span><b style="color: rgb(0, 0, 0); font-family: Helvetica; "><span lang="EN-CA" style="font-size: 7.5pt; font-family: Arial; color: rgb(23, 54, 93); "><a href="http://www.munkschool.utoronto.ca/mga">www.munkschool.utoronto.ca/mga</a></span></b><span lang="EN-CA" style="color: rgb(0, 0, 0); font-size: 7.5pt; font-family: Arial; "><br>
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