Hi,
I have two longitudinal surveys.
I have done the setup of the two surveys like described on https://www.qualtrics.com/support/survey-platform/common-use-cases-rc/pulling-data-into-a-second-survey-longitudinal-surveys/
So I have two datasets, both containing the field “Login ID” by which the two surveys can be matched.
Is it possible, and if so how, to run Stats iQ on both surveys, using that Login ID to relate the answers to eachother.
So for example, in Survey 1, I have the field Login ID and the question “how satisfied are you with A”.
And in Survey 2, I have the field Login ID and the question “how satisfied are you with B”.
I want to know if there is a correlation between A and B.
I used a mock dataset, where I purposely had the answers on A and B that belong to the same Login ID be similar, so I know that there should be a correlation shown on this mock dataset. I added 51 answers on both surveys.
I have tried adding the two surveys into a Dashboard,
Both with the Data Mapper and the Data Modeler,
and in the Data Modeler both tried using a Union and using a Join,
but whatever I do, Stats iQ keeps saying that it can’t relate or do a regression:
51 rows (50%) of the sample were missing at least one cell of data. Stats iQ automatically imputed the cells to enable the rows to be included in the model. To learn how data was imputed for each input variable, explore the model in detail below.
Automatically impute missing data for your sample
The regression could not be performed because there was no data, either due to restrictive filters or variables having many missing cases.
To fix this, relax your filters and remove variables with a lot of missing cases from the model.
Is there any way in which I can still do this?
Thanks!