Mediation. Single item measure PreviousNext
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 Inma posted on Friday, November 21, 2014 - 5:45 am
I want to run a mediation model where the mediating variable is a single-item measure.
X (2 dimensions)-> Z (single-item measure)-> Y (2 items)

żIS IT CORRECT TO DO THAT?

ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;
ITERATIONS = 10000;
CONVERGENCE = 0.00005;

MODEL:
X BY x1 x2;
Y BY y1 y2;

Y ON Z X;
Z ON X;

MODEL INDIRECT:
Y IND Z X;
 Bengt O. Muthen posted on Friday, November 21, 2014 - 7:56 am
That's ok.
 Inma posted on Friday, November 21, 2014 - 8:21 am
- I have also run the "reversed causal model" as a competing model where:
The mediating variable act as an outcome
The outcome is tested as mediating

- Chi sq, RMSEA, CFI, SRMR, AIC and BIC were exactly the same!
The only difference were the estimate for each parameter

1. Is that possible?
2. Should I choose then between these competing models based only on theoretical arguments?
 Bengt O. Muthen posted on Friday, November 21, 2014 - 9:27 am
1. The model test concerns restrictions on the covariance matrix, which are the same in your two scenarios. Statistics can't always tell you what's right.

2. Yes.
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