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An example of an interrupted time-series design with nonequivalent groups involves evaluating the impact of reducing a factory's work shifts from $$10$$ to $$8$$ hours. Researchers might track the weekly productivity of the factory making the change (the treatment group) for a year before and after the reduction. To improve the study's validity, they could also track the productivity of a similar factory that maintains its original schedule (the nonequivalent control group). If the treatment factory shows a rapid and sustained increase in productivity following the shift change while the control factory's productivity remains stable, it provides compelling evidence that the shortened shifts caused the improvement.

Example of an Interrupted Time-Series Design with Nonequivalent Groups: Factory Shift Reduction

In the factory shift reduction example of an interrupted time-series design, what is the primary purpose of tracking the productivity of a similar factory that maintains its original schedule?

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