Hi all,
I have some dyadic data organized in the following format:
I want to analyse how the coworker's perceptions of the participant (in this example creativity perceptions) might be affected not only by how much they trust this participant but also by how congruent/aligned the trust perceptions of the two sides are.
This data does not really satisfy APIM requirements if I understand it correctly (plus I am not sure how to do APIM in STATA). Any suggestions on how could I analyze the data ensuring I control for dependencies?
If the above information is not sufficient, I can clarify further.
I have some dyadic data organized in the following format:
| participant ID | coworker ID | participant rated trust (w/ coworker) | coworker rated trust (w/coworker) | coworker rated creativity (of the participant) |
| 1 | 3 | |||
| 1 | 4 | |||
| 2 | 3 | |||
| 2 | 5 |
I want to analyse how the coworker's perceptions of the participant (in this example creativity perceptions) might be affected not only by how much they trust this participant but also by how congruent/aligned the trust perceptions of the two sides are.
This data does not really satisfy APIM requirements if I understand it correctly (plus I am not sure how to do APIM in STATA). Any suggestions on how could I analyze the data ensuring I control for dependencies?
If the above information is not sufficient, I can clarify further.
