Chronology | Current Month | Current Thread | Current Date |
[Year List] [Month List (current year)] | [Date Index] [Thread Index] | [Thread Prev] [Thread Next] | [Date Prev] [Date Next] |
Everyone who calls them selves a teacher,
instructor, or professor should learn about these sorts of things.
Effect size = (post - pre)/STD
An effect size of 1 is considered enormous and many studies do not get
effect sizes larger than .5. Many PER practicioners get effect sizes
greater than 1.
But this definition of gain has the problem that it is skewed by the size of
the pre-test and also is highly dependent on class homogeneity. Just a
straight post-pre has a large dependence on the pre test. So Hake came up
with Hake gain or normalized gain.
Normalized Gain = (post-pre)/(max score - pre)