Thanks!

- Thread starter ajestudillo
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Thanks!

https://en.wikipedia.org/wiki/Local_regression

It seems like you could create a dummy variable with 1 being good and bad memory and 0 being the middle although I have not seen that done so there may be problems.

Your predictor is not interval as far as I can tell so showing relationships is not simple. I would review graphical techniques for dummy variables which is what it seems to me you have as a predictor. You are in one of two states and whichever one of these two states you are in impacts the dependent variable. I am not sure you have a non-linear relationship, you seem to have a dummy predictor. I am not sure it even makes sense to talk about a non linear relationship if you have a categorical variable like this. Categorical variables are always linear in relationship to the dependent variable I believe (if your dependent variable is interval).

You might want to see what happens if you create a dummy variable and run linear regression if your dependent variable is interval.

I think that I was inaccurate in the title of the post. The overall relationship is linear, but self-reported measures is a predictor only for good and bad memorizers. By the way, when I group quartiles 2 and 3, the relationship is still non-significant. In addition, I reanalyzed previously published reports and I obtain the same pattern.

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It might be interesting to start to plot a Tukey boxplot for each of the 3 levels on the level of metamemory (that is show a tukey boxplot for metameory first for bad, memory, 2nd for average memory, and third for good memory). There are lot of alternative ways to do that although a Tukey boxplot is very simple so its a good starting point.