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