I come a little bit late, because when I saw this submission I was thinking what to do about my article on multiple regressions, since lot of people don't understand what it is.

http://humanvarieties.org/2014/06/07/mul...fallacies/

As you see the title is provocative that's why I needed a little more time. I think everyone should read it. It's unlikely (~0.00000000001) that I'm wrong.

I believe it might me useful since you talk about regressions. Thus this needs to be well interpreted. For example the following statement

is incorrect, at least in the sense you seem to interpret the "predictors" which are "predictors" in name only, but not in reality.

What regression does it to estimate the direct effect of your independent variable, not the total effect, which is composed of direct and indirect effects. In fact multiple regression cannot disentangle the pattern of indirect effects. The only way to disentangle these indirect effects is to use longitudinal data with repeated measures, with tools such as path analysis or SEM.

This is a fact that most scientists ignore. Indeed, you can see that my blog post is somewhat like a declaration of war. That's why I hesitated to post it.

Now that is said your article has really good quality. i haven't finished yet, I'll come back later.

(Also, if you can write a blog post somewhere to show us how to produce the graphs such as in figure 2a, 2b, figure 3..., that would be nice, i always wanted to do that but don't know what tools to use and what's the procedure.)

http://humanvarieties.org/2014/06/07/mul...fallacies/

As you see the title is provocative that's why I needed a little more time. I think everyone should read it. It's unlikely (~0.00000000001) that I'm wrong.

I believe it might me useful since you talk about regressions. Thus this needs to be well interpreted. For example the following statement

Quote:β standardized coefficients for each covariate show that parents’ education predicts state SAT scores best, followed by state SAT participation rate.

is incorrect, at least in the sense you seem to interpret the "predictors" which are "predictors" in name only, but not in reality.

What regression does it to estimate the direct effect of your independent variable, not the total effect, which is composed of direct and indirect effects. In fact multiple regression cannot disentangle the pattern of indirect effects. The only way to disentangle these indirect effects is to use longitudinal data with repeated measures, with tools such as path analysis or SEM.

This is a fact that most scientists ignore. Indeed, you can see that my blog post is somewhat like a declaration of war. That's why I hesitated to post it.

Now that is said your article has really good quality. i haven't finished yet, I'll come back later.

(Also, if you can write a blog post somewhere to show us how to produce the graphs such as in figure 2a, 2b, figure 3..., that would be nice, i always wanted to do that but don't know what tools to use and what's the procedure.)