matched pairs
Posted: Thu Jan 14, 2021 10:20 am
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 this:
No teamID teamPerf leadership congruence_s congruence_tm teamAuton timePress
1 A 4 4 4 na na na
2 A na na na 4 5 5
3 A na na na 4 3 4
4 B 4 2 4 na na na
5 B na na na 4 3 2
6 B na na na 5 3 2
… … … … … … … …
(the columns 'teamPerf' 'leadership' and 'congruence_s' only appear in the survey given to supervisors, 'congruence_tm', 'teamAuton' and 'timePress' belong to the team member survey)
Assuming, I want to measure a possible connection between teamAutonomy (responses from team members only) --> teamPerformance (responses from supervisors only), would the algorithm be able to calculate the regression?
Or do I necessarily have to aggregate data, for example by grouping per teamID?
I was inspired by a research article of Ko, Kirsch and King 2005
(https://www.researchgate.net/publicatio ... mentations) where they have a similar model. 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
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 this:
No teamID teamPerf leadership congruence_s congruence_tm teamAuton timePress
1 A 4 4 4 na na na
2 A na na na 4 5 5
3 A na na na 4 3 4
4 B 4 2 4 na na na
5 B na na na 4 3 2
6 B na na na 5 3 2
… … … … … … … …
(the columns 'teamPerf' 'leadership' and 'congruence_s' only appear in the survey given to supervisors, 'congruence_tm', 'teamAuton' and 'timePress' belong to the team member survey)
Assuming, I want to measure a possible connection between teamAutonomy (responses from team members only) --> teamPerformance (responses from supervisors only), would the algorithm be able to calculate the regression?
Or do I necessarily have to aggregate data, for example by grouping per teamID?
I was inspired by a research article of Ko, Kirsch and King 2005
(https://www.researchgate.net/publicatio ... mentations) where they have a similar model. 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