Most surveys investigate not just overall populations, but subgroups too, using stratification, multi-stage sampling, cluster sampling, etc. So, without simple random sampling, how do you calculate variance and confidence intervals? In “Analysis of Survey Data from Complex Sample Designs,” Oct 10 – Nov 7, youll learn how to estimate variances for complex surveys, and also how to model the results using linear and logistic regression, and other generalized linear models. The instructors are Brady West (Lead Statistician, Center for Statistical Consultation and Research, Univ. of Michigan) and Patricia Bergland (Senior Research Associate in the Youth and Social Indicators Program and the Survey Methodology Program at the University of Michigan-Institute for Social Research). Participants will interact with the instructors via a private discussion board; the course will require about 15 hours per week and there are no set hours when you must be online. Participants could use R, WesVar, or IVEware (free packages) or SAS, Stata, SUDAAN, or SPSS (commercial packages, with SPSS users required to purchase the Complex Samples Module). statistics/surveycomplex
Posted on: Wed, 10 Sep 2014 15:45:08 +0000
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