Hi,
I am currently completing a mediation analysis for the first time using PROCESS in SPSS. The model is as outlined below.
Model 1
Predictor: Disordered Eating (DE)
Mediator: Stigma
Outcome: Depressive symptoms (DS)
Model 1
Predictor: Disordered Eating
Mediator: Self-compassion
Outcome: Depressive symptoms
I found that:
1. DE predicts stigma and self-compassion
2. Stigma and self-compassion predicts DS
3. Stigma and self-compassion do not mediate the relationship between DE and DS.
I am trying to come up with reasons why they did not mediate the relationship but am getting myself confused with what reasons there could be?
Essentially I am not sure what would mean that the separate regressions (point 1 and 2 above) are sig but the mediation is not. Does it essentially mean that stigma and self-compassion might be important to the two variables separately but does not explain the relationship between the two?
Hope this makes sense
I am currently completing a mediation analysis for the first time using PROCESS in SPSS. The model is as outlined below.
Model 1
Predictor: Disordered Eating (DE)
Mediator: Stigma
Outcome: Depressive symptoms (DS)
Model 1
Predictor: Disordered Eating
Mediator: Self-compassion
Outcome: Depressive symptoms
I found that:
1. DE predicts stigma and self-compassion
2. Stigma and self-compassion predicts DS
3. Stigma and self-compassion do not mediate the relationship between DE and DS.
I am trying to come up with reasons why they did not mediate the relationship but am getting myself confused with what reasons there could be?
Essentially I am not sure what would mean that the separate regressions (point 1 and 2 above) are sig but the mediation is not. Does it essentially mean that stigma and self-compassion might be important to the two variables separately but does not explain the relationship between the two?
Hope this makes sense
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