Hey guys,
for my master thesis I conducted an experiment and received for two variables means plots, that I will attache below. They were the result of two oneway ANOVAs. I wanted to test if the scores in the two variables differs significantly in three conditions.
The next step would be a mediation analysis. Beforehand, I conducted a correlation analysis. To my surprise (and adding up to my desperation) the variables seem to be negatively correlated. However, the means plots paint a completely different picture, don't they?
So before I go into mediation and regression analysis, how to tackle these findings? What to believe? Does that make sense?
I double checked, that the scales I computed are properly (one had to be reversecoded). Furthermore, I controlled for and excluded outliers, the scales are both normally distributed, Pearson was used.
I have been fighting with my data for the past week and think I reached the limits of my abilities in SPSS, please help a poor fool out!
Best, Nils
for my master thesis I conducted an experiment and received for two variables means plots, that I will attache below. They were the result of two oneway ANOVAs. I wanted to test if the scores in the two variables differs significantly in three conditions.
The next step would be a mediation analysis. Beforehand, I conducted a correlation analysis. To my surprise (and adding up to my desperation) the variables seem to be negatively correlated. However, the means plots paint a completely different picture, don't they?
So before I go into mediation and regression analysis, how to tackle these findings? What to believe? Does that make sense?
I double checked, that the scales I computed are properly (one had to be reversecoded). Furthermore, I controlled for and excluded outliers, the scales are both normally distributed, Pearson was used.
I have been fighting with my data for the past week and think I reached the limits of my abilities in SPSS, please help a poor fool out!
Best, Nils
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