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Between-subjects database

Compare independent groups on an outcome using a between-subjects database

When using a between-subjects research design, the database is structured in a fashion that allows for comparison of the independent groups on outcomes.

The first column of any between-subjects database contains a unique numerical de-identifier for each study participant. These ID numbers allow researchers to uphold confidentiality and anonymity of study participants. They also can assist in data validation and manipulation.

​A "grouping" variable or categorical predictor variable denoting independent levels or groups should be entered into the second column of the between-subjects database. This "grouping" variable serves as the foundation for conducting between-subjects statistics using software programs.

As researchers create their between-subjects database, they should create a data dictionary so that all research team members will know what data is being collected and what numerical values have been given to the categorical variables.

Between-subjects databases are structured to compare independent groups on outcomes and risk factors.
Between-subjects database

Click on the Download Database and Download Data Dictionary buttons for a configured database and data dictionary for between-subjects statistics.
Download Database
Download Data Dictionary
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