Hello,
I have a data set containing categorical and ordinal factors, as well as
sampling weights (i.e., survey weights reflecting unequal probabilities of
selection). I want to fit a structural equation model with sem(). I have
run sem() on weighted covariance matrices using advice from John Fox (see
<http://tolstoy.newcastle.edu.au/R/e5/help/08/12/8773.html> and
<http://blog.lib.umn.edu/moor0554/canoemoore/2009/09/sem_complex_samples_r_update.html>).
However, since I have categorical/ordinal variables, I would like to
compute a weighted heterogeneous correlation matrix with hetcor().
Is there a way to do this in R? I couldn't find any guidance in the r-help
archives or in the polycor help files. Should I truncate the sampling
weights to integers and then populate the data set with redundant
rows/cases so that the number of rows equals the population size
(N>700,000)? Or is there a better way to compute a weighted heterogeneous
correlation matrix?
Thanks,
Chris
--
Christopher T. Moore, M.P.P.
Doctoral Student
Quantitative Methods in Education
University of Minnesota
44.9785°N, 93.2396°W
moor0...@umn.edu
http://umn.edu/~moor0554
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