Example of an Interrupted Time-Series Design with Nonequivalent Groups: Student Absences
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.
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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: Student Absences
In the example of an interrupted time-series design tracking student absences, what specific event serves as the 'interruption'?
In the context of the student absence example using an interrupted time-series design, match each data pattern or event with the specific role it plays in evaluating the study's outcome.
A professor tracks student absences for five weeks, finding an average of 12 absences per week. She then begins publicly taking attendance every day. Over the next five weeks, the number of absences recorded per week are 11, 13, 12, 11, and 13. Based on the logic of an interrupted time-series design, the professor should conclude that the attendance-taking intervention was effective.
In an interrupted time-series design tracking student absences, arrange the following analytical steps in the logical order a researcher must take to determine if a new attendance-taking policy caused a meaningful reduction in absences.
Suppose you are tasked with constructing a new research protocol to determine if a 'guided-meditation' session before exams reduces student test anxiety. To ensure the study follows the same structural logic as the student absence example, which methodology would you formulate?
In the student absences study, if the average number of absences remains virtually unchanged after the instructor begins taking daily attendance, the intervention is concluded to have failed to produce a meaningful effect.
A professor concludes that taking daily attendance was effective because absences were lower in the first week, despite returning to their original average for the rest of the term. This professor's evaluation of the intervention is incorrect because they failed to demonstrate that the reduction in absences was _____.
A researcher conducts an interrupted time-series study on student absences. Match each researcher action or observation to the reason that action is necessary for drawing a valid conclusion from this design.
A researcher reviews the student absence data and finds that absences dropped sharply in the first week after the attendance policy began but gradually climbed back to pre-intervention levels by week five. Applying interrupted time-series reasoning, the researcher should classify this outcome as evidence of a _____ effect—not the sustained reduction required to conclude the treatment was meaningfully effective.
A peer reviewer is evaluating whether a student researcher's interrupted time-series study on absences provides sufficient evidence to support the causal claim that publicly taking attendance reduced absences. Arrange the following evaluative judgments in the order they should be made, from the most foundational prerequisite to the final overall verdict.
Based on the student absences example, identify the specific event that serves as the 'interruption' in the interrupted time-series design. Then, describe the two different post-interruption outcomes (effective vs. ineffective treatment) in terms of the pattern and trend of student absences.
Explain whether this pattern indicates an effective intervention according to the criteria of an interrupted time-series design, and justify your conclusion based on the observed short-term versus long-term trends of student absences.
A researcher is using an interrupted time-series design to study student absences in a psychology class. Before the treatment (introducing public attendance taking), they collect only a single measurement of absences from the week immediately prior. Apply your knowledge of this design's structure to explain why collecting only one pre-treatment measurement, instead of multiple measurements, compromises the validity of their conclusions.
Learn After
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?
A researcher uses an interrupted time-series design with nonequivalent groups to test if a new attendance policy reduces absences in a morning psychology section, while using an afternoon section as a control. If both the morning and afternoon sections show a sharp, identical decrease in absences immediately after the policy is introduced in the morning section, the researcher has found superior evidence for the policy's effectiveness.
A researcher is evaluating whether a new attendance policy reduces student absences by comparing a Morning Section (treatment) to an Afternoon Section (control). Arrange the following observations and actions in the logical order required to demonstrate that the policy—and not a shared external factor—was responsible for a reduction in absences.
A researcher wants to design a study to test whether a new grading policy reduces student absences. They plan to use an interrupted time-series design with a nonequivalent control group. Which of the following study designs best reflects the correct application of this approach and would yield the strongest evidence that the policy — rather than a shared external factor — caused any observed reduction?
In the student absences example of an interrupted time-series design with nonequivalent groups, match each research element with its role in the study.
A researcher tracks student absences in two different course sections: one receives a new attendance policy (the treatment group) and the other does not (the control group). To evaluate whether the results provide superior evidence that the policy—and not a shared external factor like a holiday—caused a change, the researcher must observe that while the treatment group shows a sustained decrease in absences, the control group's absences remain _____ throughout the entire term.
A researcher uses an interrupted time-series design with nonequivalent groups to test whether a new daily attendance policy reduces student absences. One course section adopts the policy mid-semester (treatment group); a second section never adopts it (nonequivalent control group). Match each description to the outcome pattern it represents.
A researcher conducts an interrupted time-series study on student absences. The treatment section begins daily attendance-taking mid-semester, while the nonequivalent control section never takes attendance. At the exact same point in the semester when the policy is introduced, both sections show a sudden, sustained drop in absences. The researcher concludes that this pattern provides strong evidence the attendance policy reduced absences.
In the student absences example, a researcher tracks two course sections over a full semester. The treatment section introduces daily attendance-taking mid-semester and subsequently shows a sustained drop in absences, while the nonequivalent control section—where attendance is never taken—maintains consistently high absences throughout. By comparing these two sections, the researcher is able to rule out _____ as the true cause of the treatment section's decline in absences.
A student is evaluating whether the results of an interrupted time-series study on an attendance policy provide convincing evidence that daily attendance-taking reduces absences. Arrange the following evaluative steps in the order a critical reviewer should apply them to judge the strength of the evidence.
According to the student absences example, what specific pattern of results in the treatment group and the nonequivalent control group establishes superior evidence for the effectiveness of the daily attendance intervention?
Explain why having a nonequivalent control group whose absences remain consistently high is crucial for demonstrating that the attendance intervention, rather than some other factor, caused the reduction in absences.
Using the student absences example, how would you configure the study's groups and timing to implement an interrupted time-series design with nonequivalent groups to evaluate a new daily attendance policy?