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Another practical example of an interrupted time-series design with nonequivalent groups involves assessing whether taking daily attendance reduces student absences. A researcher could track absences over the semester in one course section where the intervention is introduced (the treatment group), and simultaneously track absences in another section where attendance is not taken (the nonequivalent control group). Superior evidence for the intervention's effectiveness is established if the treatment group shows a consistently high number of absences before the policy change followed by a sustained decrease afterward, while the control group's absences remain consistently high throughout the entire term.

Example of an Interrupted Time-Series Design with Nonequivalent Groups: Student Absences

In the example assessing whether taking daily attendance reduces student absences using an interrupted time-series design with nonequivalent groups, what pattern of results establishes superior evidence for the intervention's effectiveness?

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