Test Analysis |
Correlation Analysis |
See the official home page to download the source code. Assessment Analysis is released under the GPL license. See the readme for more details.
Use Test Analysis to analyze one or two tests. It analyzes both test items and test scores and is
especially useful for pretest/posttest or experimental/control group comparisons.
Use Correlation Analysis to analyze columns of data such as exam scores, attendance, homework scores, etc. in order to determine correlation coefficients and significance.
Use Factor Analysis to determine factors on a test. Factor analysis helps you identify questions that are statistically related, but does not in general tell you the meaning or explanation of the factors. You can read more about factor analysis in the documentation.
This material is based upon work supported by the National Science Foundation under Grant No. 9952323. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.