research label grad course label undergrad course label other labelbook linkarticles linkworking paper linkAdvanced Quantitative Political Methodology
	        linkmax likelihood linkvisualizing data linkpanel data linkPolitical Science as Social Science
	       LinkIntro to Soc Stat linkCase-Based Stat linkPolitical Economy Seminar linkSoftware linkData

Full CV  

Short CV  

Brief Bio  

google scholar

cadolph at uw dot edu

← Other publications

Visual Interpretation and Presentation of Monte Carlo Results  

The Political Methodologist, 2003, Vol. 11 (2): 31—35.

Christopher Adolph

Monte Carlo experiments test models on artificial datasets with known properties to assess the likely performance of an estimator in empirical work. Although the increasing savvy of political methodology has brought more and better Monte Carlo work, it is not always presented clearly or thoroughly. In particular, Monte Carlo results often appear in unwieldy tables rather than elegant graphics. I propose five guidelines for Monte Carlo graphics. I also define five graphic styles which help show the comparative performance of models over the parameter space, even when the models and parameters are many.

University of Washington link

CSSS Center for Statistics and the Social Sciences link

Designed by
Chris Adolph & Erika Steiskal

Copyright 2011–2024
Privacy · Terms of Use

Jefferson (2007-2011)