WizardMac
Feature Request (or Question): Support for Multiple Response Sets in SAV Files?
First off, thanks for an awesome library! It is much appreciated, and this library (and the related bindings) are incredibly useful. Thanks for all the hard work!
I do, however, have one question (that also came up in Roche/pyreadstat#25) which seems to be a feature request. Near as I can tell, it seems that ReadStat's SAV functionality does not currently support Multiple Response Sets. Is that correct?
If so, then it would be very helpful if it could be extended with this support. In the Pyreadstat issue mentioned above, SamMousa included some helpful example files, one with multiple category sets and one with multiple dichotomy sets, and a link to some more docs.
If my reading of the ReadStat code is correct, then I think that MR set support would be a great addition and valuable for the analysis of "check all that apply"-style survey questions. Given that MR sets are largely "collections" of other variables/columns in the dataset, I suspect (without having gone too deep into the code) the support can be facilitated by extending the extract_metadata program and the corresponding metadata JSON schema...but this is purely speculation on my part at this stage.
InsightIndustry has a really good point here. It would be great to get the multiple response sets from an SPSS file. This is a major issue now because savReaderWriter no longer works in python 3.10 (without editing it) - this used to be the only place this data could be obtained.
This is some more detail that would help you out:
Multiple Response Sets relate data that will need to be analyzed across multiple SPSS data columns Each column has 2 answers {1 : 'Yes', 2 : 'No'} (Yes = Answered / No = Not Answered) - sometimes it can have more than 1 exclusive 'Yes' answer.
The metadata should provide a dictionary with the data key = name of the Multiple Response Set value = dictionary of dictionaries containing columns and the relevant 'Yes' answers
e.g. (based on 4 columns making up each multiple response set)
multiple_response_sets = {'Multi Set 1' : { 'ColA' : { 1 : 'Yes'} , 'ColB' : { 1 : 'Yes'}, 'ColC' : { 1 : 'Yes'}, 'ColD' : { 1 : 'Yes'}}, 'Multi Set 2' : { 'ColS' : { 1 : 'Yes'} , 'ColT' : { 1 : 'Yes'}, 'ColU' : { 1 : 'Yes'}, 'ColV' : { 1 : 'Yes', 99 : 'Not Sure'}}}
@evanmiller My team is interested in opening a PR to support reading multiple response sets. Just checking in if you available to support us before we commit to it. Thank you!
