Interrupted Time-Series Design with Nonequivalent Groups
An interrupted time-series design with nonequivalent groups is a quasi-experimental approach that enhances the basic interrupted time-series design by incorporating a control group. This methodology involves taking multiple measurements of a dependent variable at regular intervals over an extended period both before and after an intervention is implemented across two or more groups that were not randomly assigned. By comparing the baseline and post-intervention trends of the treatment group to those of the nonequivalent control group, researchers can obtain stronger evidence regarding the effectiveness of the intervention.
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Research Methods in Psychology - 4th American Edition @ KPU
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Example of an Interrupted Time-Series Design: Factory Shift Reduction
Example of an Interrupted Time-Series Design: Student Absences
Interrupted Time-Series Design with Nonequivalent Groups
AB Design
Advantage of Interrupted Time-Series Over Pretest-Posttest Designs
Which of the following procedures is the defining characteristic of an interrupted time-series design?
Posttest Only Nonequivalent Groups Design
Pretest-Posttest Nonequivalent Groups Design
Interrupted Time-Series Design with Nonequivalent Groups
What is the defining characteristic of a nonequivalent groups design?
Because a nonequivalent groups design does not use random assignment, researchers must expect that their comparison groups will likely have pre-existing differences that could threaten the internal validity of their research.
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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?