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

In the study where a factory reduced worker shifts from 10 hours to 8 hours, why was it important for researchers to continue measuring productivity for several months after the change occurred?

In a study of factory productivity, researchers investigated how changing shift lengths affected worker output over time. Arrange the steps of their research design in the correct chronological order to show how they established that shortening shifts caused a sustained increase in productivity.

In the study of the factory that reduced work shifts from $10$ hours to $8$ hours, researchers used an interrupted time-series design. Match each observation from their data pattern to the specific logical inference it allowed them to make when analyzing the cause of increased productivity.

In the study where a factory reduced work shifts from $10$ to $8$ hours, the researchers' conclusion that the shift reduction directly caused increased productivity would be methodologically unjustified if the performance improvement had only been a short-term spike that returned to previous levels within a few days.

In the factory study illustrating an interrupted time-series design, what specific change served as the experimental 'interruption'?

In the factory study example, the researchers' use of an interrupted time-series design meant that they compared a sequence of multiple weekly productivity measurements rather than comparing only one measurement from the period when shifts were $10$ hours to one measurement from the period when shifts were $8$ hours.

In a classic interrupted time-series study, researchers found that weekly worker productivity increased and remained consistently elevated after a factory reduced its work shifts from 10 hours to _____ hours.

In the factory shift reduction study (an interrupted time-series design), match each study component to the specific methodological role it plays in supporting the researchers' causal conclusion.

In the factory study, collecting a series of weekly productivity measurements before the shift reduction—rather than only a single pre-change score—allowed researchers to detect whether productivity was already on a(n) _____ trend prior to the intervention, which, if present, would undermine the conclusion that the shift reduction caused the improvement.

A student is evaluating whether the factory interrupted time-series data justify the researchers' causal conclusion. Order the following evaluative checks from most fundamental (1) to least fundamental (5), reflecting the logical priority in which each criterion should be applied.

Based on the factory shift reduction study described in the context, identify the specific change that served as the experimental 'interruption', the variable that was measured, and the frequency/periodicity of these measurements.

Explain why the timing and durability of the change in worker productivity after the shift reduction allowed researchers to confidently conclude that the shortened shifts caused the productivity increase.

Suppose a psychology department wants to replicate the factory shift reduction study's design to test the effect of reducing weekly student lab hours from $10$ hours to $8$ hours on student research output. Using the same measurement approach as the original factory study, how should the department schedule their measurements of student research output?