4.4 Statistical Analysis Missing Data

It is expected that some participants may drop out of the study or program. This creates missing data, or holes in the data collected, which need to be dealt with in order for statistically sound analysis to take place.

Missing data can be a problem when trying to understand the effects of a program. For example, if only half of all participants complete a program, and all of them show positive change, it is unclear if the result is due to the program or if it is due to the characteristics of the people who completed the program. If nothing is known about the people who did not complete the program, it would be difficult to say that the results were due to program participation.

What elements would you like to review?
These elements are from the SEP Guidance Checklist

The following elements are from the SEP Guidance Checklist however, have not been included in the related SEP example.

How overall and differential attrition will be calculated and assessed is detailed.

Click here to view the original SEP excerpt.