I wish to demonstrate the ordinal property of a set of items, which are supposed to be a Guttman scale. I was not able to find any useful suggestion in the internet about how to compute that analysis in Stata 13 (and neither "by paper&pencil").
Could anyone help me?
Thanks for any suggestion.
Scaleograms seems to be synonemous or rather a specific way of doing a correspondance analysis or MCA which is available in Stata at least. So I would try to look further into that direction.
I'm not sure they are... a scalogram requires the computation of various indexes to assess the ordinality of a scale, which are not performed by MCA.
Hi Marco,
you can check Jean-Benoit Hardouin post on Mokken stata module.
in stata 14 there is a specific suite of commands.
Check unipv license of stata 14. I am sure somene must have a new version
What you are probably referring to by “scalogram analysis” is iirc known also as Guttman or optimal scaling (I think Kristian is also right in calling MCA a synonemous). The general purpose of such optimal scaling is to construct a one-dimensional continuum for the concept of interest underlying your set of items. I am not aware of procedures for specific scalogram analysis implemented in Stata, but there are commands following a very similar goal. For instance, the MSP module (commands trace, msp, loevh; sj 11-1 st0216) performs Mokken Scale Analysis, which aims to evaluate response patterns to scales designed to be cumulative. The resulting scale satisfies the assumptions of item response analysis, that are also also inherent in Guttman scaling (i.e., unidimensionality, monotonicity). You end up with a set of items that is valid in the sense of an ordinal measure, and you get different indices on the degree of scalability. An advantage is that you can also analyze polytomous, not just dichotomous items.
Maybe this helps you to go on.
http://epm.sagepub.com/content/44/1/159.refs
Article MSP: Stata module to perform the Mokken Scale Procedure
I know you said Stata, and I've made a lot of use of Jean-Benôit's command (in fact we've co-authored a couple of papers), but I'd also strongly recommand the R package mokken. The step-by-step tutorial is excellent, and it does a whole lot of model checking in addition to scaling based on Loevinger's H, which assess degree of fit to a Guttman scale.
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