Attachment | Size |
---|---|
datafile used for tssem1 [6] | 2.32 KB |
code used for query 1 [7] | 1.7 KB |
diagram of measurement model [8] | 44.44 KB |
code used for query 2 [9] | 620 bytes |
Hi all,
First time poster here.
Query 1 ---
I am running the metaSEM package and I am fitting a measurement model with the following specification:
- 10 indicators
- 4 first order factors
- 1 second/higher order factor
All input matrices are correlation matrices.
The issue I am having is that I am encountering a Heywood case with my first factor (F1) such that the standardised loading of the second order factor on F1 is 1.062, and its residual variance is -0.128. What is causing this to happen and is there any way to constrain these to be greater than 0 but less than 1?
I have attached my code, datafile (masemcode.R), and diagram of the measurement model. Any help would be of great value.
Query 2 ---
This one is something that is related to the datafile and measurement model above, but without the second order factor. The code is in masemcode2.R
For some reason, the upper bound of the confidence interval of the residual variance of AwithA cannot be estimated, even after using rerun(). What may be the reason for this?
Thank you in advance.