IALSA / ialsa-2016-groningen

Maelstrom Harmonization Workshop. Assessing the impact of different harmonization procedures on the analysis results from several real datasets.
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harmonize: ALCOHOL #14

Open andkov opened 8 years ago

andkov commented 8 years ago

describe variables

andkov commented 8 years ago

@ampiccinin , please review the variable description and provide the list of variables that WILL NOT be included into data schema variables. Please pay particular attention to continuous variables. In order to move on to generating response-profiles from data schema variables for this construct we need only categorical variables. If we rule in advance that a particular continuous variable WILL NOT be used for harmonization, we can avoid the expense of categorizing it.

Please provide me the name of the study and the original spelling of the variable the WILL NOT be included (e.g. SATSA - GSTOPALK).

ampiccinin commented 8 years ago

First pass – separate abstainers from rest – use only the variables listed in this email.

This will not be exact harmonization, only partial, since only SATSA and LBLS have a “never” category.

ALSA – FREQALCH – Never vs. rest (except NA of course)

\ not clear whether this is lifelong abstainers – please make a note of this ***

LBLS – ALCOHOL – never drank vs. rest

SATSA – GEVRALK – No, I have never vs. Yes + No, I quit

SHARE – BR0100 – not at all in the last 6 months vs. rest

not equiv to lifelong abstain, please make note

TILDA – SCQALCOHOL – No vs. Yes not equiv to lifelong abstain, please make note

IFF we have time before the workshop, we can try to create a “heavy drinker” category, but I can’t easily with the information currently available – would need to probably look at some crosstabs of the frequency and quantity, as I mentioned before, or for studies that include it, some kind of binge question (like freq of >6 drinks on a single occasion).