This post by Jonas Kristoffer Lindeløv presents a parsimonious view of common statistical tests which are, on their own, confusingly and inconsistently named and, taken together, a mess.
Jonas argues that there is a common theme among these tests and that it is simple. Simple to explain and simple to understand.
I highly recommend you give it a read.
9/4/2011 Update: granovaGG is now available directly from CRAN.
Just over one year ago, I wrote about creating Dependent Sample Assessment Plots (DSAP) Using granova and R. Since then, Brian Danielak has been developing a new, ggplot2-based version of granova named granovaGG, which is almost ready for release on CRAN. This article updates my earlier granova-based version, but leaves much of the article text unchanged.
Continue reading Dependent Sample Assessment Plots Using granovaGG and R
Dependent Sample Assessment Plots (DSAP) constitute a way of visualizing data in the context of two dependent sample analyses. One (of at least four ways) to think about this would be to think of pre-intervention and post-intervention response data scores, when studying the effects of intervention.
Suppose you’re an educator and you administer an assessment to students at the beginning of a unit asking about their level of confidence or understanding of a topic. You then teach a lesson that spans some period of time. At the end you collect responses to the same questions again. You now have a dependent sample: two responses that related to the same individual for some number of individuals.
Continue reading Dependent Sample Assessment Plots Using granova and R