[R] Primer for working with survey data in R
jfox at mcmaster.ca
Sat Nov 11 23:36:49 CET 2017
In addition to the advice you've received, take a look at the survey package. It's not quite what you're asking for, but in fact it's probably more useful, in that it provides correct statistical inference for data collected in complex surveys. The package is described in an article, T. Lumley (2004), Analysis of complex survey samples, Journal of Statistical Software 9(1): 1-19, and a book, T. Lumley, Complex Surveys: A Guide to Analysis Using R, Wiley, 2010, both by the package author.
I hope that this helps,
> -----Original Message-----
> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Kevin Taylor
> Sent: Saturday, November 11, 2017 2:57 PM
> To: r-help at r-project.org
> Subject: [R] Primer for working with survey data in R
> I am taking a behavioral stats graduate class and the instructor is using SPSS.
> I'm trying to follow along in R.
> Recently in class we started working with scales and survey data, computing
> Cronbach's Alpha, reversing values for reverse coded items, etc.
> Also, SPSS has some built in functionality for entering the meta-data for your
> survey, e.g. the possible values for items, the text of the question, etc.
> I haven't been able to find any survey guidance for R other than how to run the
> actual calculations (Cronbach's, reversing values).
> Are there tutorials, books, or other primers, that would guide a newbie step by
> step through using R for working with survey data? It would be helpful to see
> how others are doing these things. (Not just how to run the mathematical
> operations but how to work with and manage the data.) Possibly this would be
> in conjunction with some packages such as Likert or Scales.
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