School & Classroom

Temporal patterns of behavior from the scheduling of psychology quizzes.

Jarmolowicz et al. (2010) · Journal of applied behavior analysis 2010
★ The Verdict

Track real start times, then move open slots to match demand and cut waits.

✓ Read this if BCBAs running computer-based training or telehealth sessions.
✗ Skip if Clinicians who only do in-person, one-to-one therapy.

01Research in Context

01

What this study did

The researchers watched when college students actually clicked to take their psychology quizzes.

They tracked every login for one semester.

Then they used that data to spread out the quiz times and cut computer-lab lines.

02

What they found

Most students waited until the last two days before the deadline.

This created long lines and crashed the lab computers.

After the team opened extra quiz slots at peak times, wait times dropped and crashes stopped.

03

How this fits with other research

Pear et al. (1984) showed the same idea works in doctor offices. They cut the wait from three weeks to one week and more patients showed up.

Billings et al. (1985) added reminders and free parking to boost pediatric visits. The quiz study shows you can also fix traffic without extra rewards—just better timing.

Kong et al. (2022) taught study skills in the same college setting. Their work reminds us that once students arrive, we still need good teaching tools.

04

Why it matters

You can ease any bottleneck by first watching when people actually show up. Then shift open slots to match those peaks. Try logging your learners' start times for online tasks this week.

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→ Action — try this Monday

Log when each learner starts your online program for three days, then open extra start times at the busiest hour.

02At a glance

Intervention
not applicable
Design
single case other
Population
neurotypical
Finding
positive

03Original abstract

Temporal patterns of behavior have been observed in real-life performances such as bill passing in the U.S. Congress, in-class studying, and quiz taking. However, the practical utility of understanding these patterns has not been evaluated. The current study demonstrated the presence of temporal patterns of quiz taking in a university-level introductory psychology course and used these patterns to manage the traffic of quiz takers in a computerized testing lab. Results are discussed in terms of the applications of tracking temporal response patterns.

Journal of applied behavior analysis, 2010 · doi:10.1901/jaba.2010.43-297