Hey guys,
probably you can help me!
I’d like to analyse data from two different surveys, the first containing responses from supervisors, the second comprising responses of corresponding team members.
The idea is, to measure some constructs with ‘matched pairs’, in particular there are three kind of constructs:
a) Constructs that have been measured by both parties
b) Constructs that have been measured by managers only
c) Constructs which have been measured by team members only
So, a consolidated data table including answers of both surveys would, for example, look like the on in the attached file
Assuming, I want to measure a possible connection between teamAutonomy (team members only) --> teamPerformance (supervisors only), would the PLS SEM algorithm (for example lavaan in R) be able to calculate the regression?
Or do I necessarily have to aggregate data, for example by grouping per teamID?
But honestly, I have no clue how they prepared (and analysed) the data and what is needed for this kind of analysis.
Do you have any comments or thoughts?
Tim