Source: Laboratories of Gary Lewandowski, Dave Strohmetz, and Natalie Ciarocco—Monmouth University
A within-subjects, or repeated-measures, design is an experimental design where all the participants receive every level of the treatment, i.e., every independent variable. For example, in a candy taste test, the researcher would want every participant to taste and rate each type of candy.
This video demonstrates a within-subjects experiment (i.e., one where there is an independent variable with several variations or levels) that examines how different motivational messages (e.g., hard work, self-affirmation, outcomes, and positive affect) influence willingness to exert physical effort. As a within-subjects design, the participant will read each of the four types of motivational messages and then lift weights to measure physical effort. By providing an overview of how a researcher conducts a repeated-measures experiment, this video allows viewers to see how to address order effects through counterbalancing, which involves a systematic approach to making sure all possible orders of the conditions occur in the study.
Psychological studies often use higher sample sizes than studies in other sciences. A large number of participants helps to ensure that the population under study is better represented and the margin of error accompanied by studying human behavior is sufficiently addressed. In this video, we demonstrate this experiment using just one participant. However, as represented in the results, we used a total of 72 participants to reach the experiment’s conclusions.
1. Define key variables.
2. Conduct the study.
3. Debrief the participant.
The procedure was repeated three times in 24 counterbalanced orders, so data were collected from 72 total participants. A large number of participants is necessary to ensure that the results are reliable. If this research were conducted using just a few participants, it is likely that the results would have been much different and not reflective of the greater population.
To determine if there were differences between the motivational messages on physical effort, we performed a repeated-measures analysis of variance (ANOVA). The results indicated that participants who read the hard work motivational message exerted more physical effort by doing more curls of the 10 lb weight in 30 s (Figure 7).
This repeated-measures within-subject experiment shows how researchers use a study design to compare participants’ experiences in one context to their own experiences in another context. In other words, the study allowed researchers to compare participants to themselves.
Figure 7: Average number of times participants lifted the weight by motivational message type.
Repeated-measures within-subjects designs are particularly common in functional magnetic resonance imaging (fMRI) research. Participants lie in an fMRI machine and experience several conditions to see how the brain reacts to different experiences.
For example, one fMRI study wanted to determine which areas of the brain correlate with feelings of long-term and intense romantic love.1 To test this, participants saw each of the following images: a highly familiar acquaintance, a close long-term friend, a low-familiar person, and their long-term romantic partner. Analyses indicated that the long-term romantic partner activated areas of the brain (e.g., the ventral tegmental area and dorsal striatum) associated with the dopamine reward system, as well as areas (e.g., globus pallidus and substantia nigra) associated with emotional attachments.
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