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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