The fixed-interval scallop in human affairs.
The 'fixed-interval scallop' you see in clients is probably shaped by more than just time—check eleven other variables first.
01Research in Context
What this study did
Pisacreta (1982) looked at everyday patterns people call 'fixed-interval scallops.' These are the pause-then-burst work rhythms you see when a deadline looms.
The paper is a narrative review. It lists eleven other things that can shape the same curve.
What they found
The author says the scallop is rarely just a simple FI effect. Motivation, instructions, feedback, and eight more variables twist the curve.
Calling a client's last-minute rush a 'fixed-interval scallop' hides all that extra control.
How this fits with other research
Critchfield et al. (2003) seems to disagree. They show 52 years of Congressional bill data that line up almost perfectly with lab FI curves. The difference is scope: Congress works under strict calendar reinforcement, while the 1982 review mixes in messy human settings like homework or sales reports.
Nakamura et al. (1986) fit the same FI data into the matching law. They accept FI control but add 'under-matching' tweaks, showing both papers want richer variables, not just 'it's an FI.'
Baum (2021) sides with Pisacreta (1982). He says stop counting single responses and look at long, continuous streams. Both push BCBAs to zoom out from tiny moment-to-moment units.
Why it matters
Before you label a client's procrastination 'FI scalloping,' check the extra cues: clear deadlines, peer competition, staff prompts, or token delivery. Add those variables to your graph or treatment plan. You might find the pause-and-burst pattern is driven by instructions or social praise, not time alone, so your intervention can target those real controls instead of trying to change a schedule that isn't there.
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02At a glance
03Original abstract
"Fixed-interval scalloping" is used to describe certain everyday patterns of behavior in textbooks and other educational communications. This is a misleading use of the term. It implies that the behavior is accounted for by the schedule, when, in fact, many other variables are operating. This paper reviews eleven such variables and the research evidence on them. These variables provide a more adequate account of complex behavior and point up areas of limited knowledge requiring further research in both laboratory and applied settings. Extrapolating from basic research on human fixed-performance suggests that there are phenomena of mutual interest to both basic and applied behavior analysts.
The Behavior analyst, 1982 · doi:10.1007/BF03392381