Dear all,

as part of my Master thesis, I am conducting a two-way repeated measures ANOVA on data from a social evaluation paradigm. The purpose for running this analysis is to investigate whether social feedback prediction (like, dislike) moderates the impact of social feedback valence (negative, positive, neutral) on participants' self-rated state self-esteem (i.e. whether unexpected social feedback exerts a differential impact on state self-esteem depending on the feedback valence).

Participants undergo several trials in which they are instructed to make predictions as to the social feedback they will receive, after which they receive alleged social feedback on a personality profile. After a random number of trials, participants need to rate their state self-esteem with reference to the previous social evaluations.

The analysis revealed a significant interaction effect between social feedback valence and social feedback prediction on state self-esteem. I have already plotted this interaction effect using a bar chart, but I would like to quantify the mean differences in state self-esteem between levels of feedback prediction for each level of feedback valence such that I can clearly describe the underlying simple effects and, accordingly, interpret the cause of the interaction effect.

Which methods/procedures/strategies would you recommend using to probe the valence x prediction interaction effect?

I hope that I have provided sufficient information.

Thank you very much in advance.

With warm regards,

Marius