Hello,
I'm conducting structural equation modelling using Amos. When reviewing the standardised total effects output table, I see that the standardised total effect of variable X on variable Y is greater than 1.00. Is that possible or is something playing up with the data? It seems a little odd to me. Any help would be appreciated.
Cheers
The total effect is the sum of the direct effect plus all indirect effects. The standardized total effect can be > 1 already because the individual standardized path coefficients can also be > 1 (for example, due to collinearity or a suppression effect). Path coefficients are partial regression coefficients. Unlike correlation coefficients, they are not restricted to a range between -1 and 1 when there are multiple independent variables for a given outcome variable.
Christian Geiser I disagree. Supression can make a total effect larger than the original correlation, but it cannot make the explained variance greater than 1.
Sounds to me like a Heywood Case if it's a standardised coefficient?
https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/multivariate/supporting-topics/principal-components-and-factor-analysis/what-is-a-heywood-case/
https://www.youtube.com/watch?v=Vx24KFf-rAo
I'd be tempted to do some re-examining of your model and its parameters.
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