The Difference Between Significant and Not Significant is Not Statistically Significant
December 11th, 2006 by joseMINDLESS SIGNIFICANCE TESTING
Decision science news has a post on hypothesis testing that I find relevant.
Some well-made points grow old while no one pays attention to them. One of the most embarrassing for social science is its categorical perception of p-values.
Tender of kindred Web site Andrew Gelman and Hal Stern have an article whose name says it all: The Difference Between “Significant” and “Not Significant” is not Itself Statistically Significant.
Link to The Difference Between Significant and Not Significant is Not Statistically Significant
Technorati tags: statistics, hypothesis testing
I think this could be a good read for students, and even for academics; Most of us keep this partitioning into smaller tasks “in our heads”; making it explicit and dumping it into paper might help with things such as time estimation… a consistent problem I have is that I never know how long I will need to finish a paper. This is one of the reasons I posted before that we need to decompose tasks to be able to track progress better.