<p>I don't really know where to post this but there is an additional point that I feel should be made. When looking at questions like</p>

<ul>
<li><a href="https://stats.stackexchange.com/questions/70310/how-to-fix-mean-and-variance-of-latent-variables-with-the-mirt-package">https://stats.stackexchange.com/questions/70310/how-to-fix-mean-and-variance-of-latent-variables-with-the-mirt-package</a></li>
<li>How to perform Chi square test for trend in SPSS v 19?</li>
<li><a href="https://stackoverflow.com/questions/18788051/3-level-logistic-regression">https://stackoverflow.com/questions/18788051/3-level-logistic-regression</a></li>
<li><a href="https://stackoverflow.com/questions/18774985/bootstrap-on-correlation-coefficients-in-r">https://stackoverflow.com/questions/18774985/bootstrap-on-correlation-coefficients-in-r</a></li>
</ul>

<p>You need quite a lot of statistics knowledge to even simply <em>understand</em> the question. The answer might ultimately be as simple as “type XXX” but finding the right function, being able to understand the relevant documentation and to cut through inconsistent and confusing terminology, or to understand what parameters you need to use and check that the function is really doing what you want is far from trivial.</p>

<p>The wording of the questions might emphasize the “how-do-I-carry-out-test-X” aspect and ostensibly suggest that the relevant statistical decisions have already been made but they still have no place on StackOverflow. Those are simply not questions a programmer could answer.</p>

<p>Obviously, we might still want to close them for other reasons but we should at least agree that the only site where they could possibly be on-topic and stand a good chance of reaching knowledgeable contributors is CrossValidated.</p>
