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Mediation. Single item measure |
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Inma posted on Friday, November 21, 2014 - 5:45 am
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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; |
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That's ok. |
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Inma posted on Friday, November 21, 2014 - 8:21 am
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- 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? |
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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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