Example of an Interrupted Time-Series Design with Nonequivalent Groups: Factory Shift Reduction
An example of an interrupted time-series design with nonequivalent groups involves evaluating the impact of reducing a factory's work shifts from to 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.
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Research Methods in Psychology - 4th American Edition @ KPU
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Example of an Interrupted Time-Series Design with Nonequivalent Groups: Factory Shift Reduction
Example of an Interrupted Time-Series Design with Nonequivalent Groups: Student Absences
What is the defining feature that an interrupted time-series design with nonequivalent groups adds to a basic interrupted time-series design?
A researcher is evaluating a new mindfulness program in a psychiatric clinic using an interrupted time-series design with nonequivalent groups. Arrange the steps of this study in the correct methodological order.
A researcher investigates the effectiveness of a new 'Stress-Reduction Workshop' at Hospital A by measuring staff burnout levels every month for one year before and one year after the workshop is introduced. To strengthen the evidence, they also track monthly burnout levels at Hospital B, a similar facility where no workshop is offered. Match each element of this study to its appropriate methodological role.
In an interrupted time-series design with nonequivalent groups, if both the treatment group and the nonequivalent control group show an identical, sudden shift in the dependent variable at the point in time the intervention was introduced to the treatment group, the researcher can still safely conclude that the intervention was the primary cause of the change in the treatment group.
Which of the following best describes how groups are formed in an interrupted time-series design with nonequivalent groups?
Which of the following best explains how a researcher uses a nonequivalent control group to strengthen the conclusions of an interrupted time-series design?
When evaluating the internal validity of a quasi-experimental study, the interrupted time-series design with nonequivalent groups is judged as superior to a single-group design because the control group provides a necessary _____ for determining whether the treatment group's change is truly due to the intervention rather than a coincidental historical event.
A school psychologist measures the monthly disciplinary incidents at two different middle schools (School A and School B) for six months before and six months after School A implements a new restorative justice program. Because students were not randomly assigned to the schools, this scenario represents an application of an interrupted time-series design with nonequivalent groups.
Match each methodological component of an interrupted time-series design with nonequivalent groups with the analytical purpose it serves in evaluating an intervention.
To evaluate whether a quasi-experimental study's results are due to the intervention itself rather than external historical factors, a researcher should compare the baseline and post-intervention trends of the treatment group to those of a nonequivalent _____.
Define an interrupted time-series design with nonequivalent groups. Explain the main characteristics of this design, including how the groups are formed, how observations are recorded over time, and how the effectiveness of the intervention is evaluated.
Explain how comparing the baseline and post-intervention trends of both School A and School B allows the researchers to make a stronger claim about the effectiveness of the attendance reward system compared to if they only collected data from School A.
A manufacturing company wants to study the effect of a factory shift reduction (reducing shifts from 8 hours to 6 hours) on employee productivity. Outline how a researcher would apply the interrupted time-series design with nonequivalent groups to structure this study, specifying how measurements should be collected across the groups.
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 hours to 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 to 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 hours to one measurement from the period when shifts were 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 hours to 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?
Learn After
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?
Arrange the steps of the factory shift reduction study in the correct chronological and logical order to evaluate whether the shift change caused an improvement in productivity.
In a study evaluating the impact of reducing factory work shifts from 10 to 8 hours, researchers compare the productivity of the factory making the change (treatment) with a similar factory that does not (control). Match each hypothetical data pattern to the most valid conclusion regarding the shift reduction's effectiveness.
In the factory shift reduction study, if the treatment factory is found to have a different starting level of productivity than the control factory, this initial difference (nonequivalence) between the groups prevents the researcher from drawing a valid causal conclusion about the effect of the shift change.
Suppose you are tasked with creating a research protocol to determine if reducing a factory's work shifts from to hours increases productivity. To construct a design that provides the most compelling evidence of a causal relationship while accounting for both 'maturation' (natural changes over time) and 'history' (external industry-wide events), which blueprint should you build?
In the factory shift reduction example of an interrupted time-series design, the control group is formed by randomly assigning a subset of workers within the same factory to maintain their original shift schedule.
In the factory shift reduction study, suppose researchers track productivity for year before and year after the treatment factory reduces shifts from to hours. If both the treatment factory and the nonequivalent control factory show a similar, steady increase in productivity over the entire post-reduction period, what is the most reasonable interpretation of this finding?
In a study evaluating a factory shift reduction from to hours, a researcher finds that productivity in the treatment factory improved for only weeks before returning to previous levels. To evaluate the strength of the causal claim, the researcher must conclude that the evidence is weak because the productivity increase was not _____, a necessary condition for a compelling result in this design.
In the factory shift reduction interrupted time-series study, match each design element to the specific inferential function it serves in establishing whether the shift change caused the productivity improvement.
In evaluating the factory shift reduction study, a researcher finds that after the shift change, productivity in the treatment factory rose rapidly and remained high, while the control factory's productivity stayed flat across the same period. When a critic argues that an industry-wide economic upturn—not the shift change—might explain the treatment factory's gains, the researcher correctly responds that the control factory's stable output during the same period makes this _____ threat to internal validity unlikely, thereby strengthening the causal conclusion.
Based on the factory shift reduction example, describe the design of an interrupted time-series design with nonequivalent groups. Specifically, recall the duration of the weekly productivity tracking before and after the shift change, and identify the treatment and control groups.
Diagnose the threat to internal validity created by the simultaneous installation of the new inventory system. Explain why the nonequivalent control group does not rule out this threat.
Suppose you are applying an interrupted time-series design with nonequivalent groups to study a shift reduction from to hours at a manufacturing plant. If the treatment factory's productivity increases gradually over the year before the shift change and continues rising at the same rate afterward, while the control factory remains stable, can you conclude that the shift change caused the improvement? Briefly justify your answer in one to three sentences.