Comparing
the Average Scores of Students in One Cohort to the Average in a Later Cohort
When a new
superintendent came to Mountain View School District he mandated the use of
“balanced literacy” and “whole language” programs throughout the elementary
schools. After two years of this new approach, some school board members became
concerned about rumors of lowered achievement. They asked the Superintendent
for data on reading achievement of first graders over the last five years, and
he provided information on the average and standard deviation of first graders
on a curriculum-based measurement (e.g. DIBELS or AIMSWeb). As the school board
members suspected, scores had declined after the change in reading programs.
The Superintendent insisted that the change was simply due to chance and wasn’t
significant. The school board members used the EIC to test that assertion.
Enter the data for the more recent year | |
a) Average (mean) score | 58 |
b) Standard deviation | 16 |
c) Number of students | 300 |
Enter the data for the comparison year | |
a) Average (mean) score | 65 |
b) Standard deviation | 12 |
c) Number of students | 300 |
Results | |
Effect Size | -0.50 |
Improvement Index | -19.1 |
Probability this effect would occur by chance | 0.000 |