Combining descriptive and experimental analyses of young children with behavior problems in preschool settings.
Sort descriptive data by guessed function, not by time, to form quick testable ideas in preschool FBA.
01Research in Context
What this study did
The team worked with preschoolers who hit, screamed, or ran away. First they watched and wrote down what happened before and after each burst. They sorted these notes by what the child seemed to want: teacher attention, escape from tasks, or a favorite toy. Next they ran short tests that gave or took away those items to see if the behavior still happened. The whole process stayed inside the classroom so results would match real life.
What they found
Graphing the notes by guessed function made patterns pop out fast. The brief follow-up tests matched the pattern, so teachers knew why the behavior occurred in only a few sessions. Interventions built from those quick tests lowered problem behavior for every child.
How this fits with other research
Duker et al. (1991) first said "combine watching with testing" eight years earlier, so this study shows the idea working in real preschools.
Henry et al. (2021) later added confirmation and annulment conditions and hit 100% clear results, a cleaner update to the same brief-test goal.
Contreras et al. (2023) pooled 48 studies and found descriptive data match full functional analyses only half the time. That sounds like a clash, but the 1999 paper never claimed perfect match—only that the first look speeds up the next test. Using structured sheets, as Contreras urges, would make the 1999 method even sharper.
Why it matters
You can shave hours off preschool FBA by sorting your ABC data by suspected function before you graph. One quick picture tells you what to test next, so you run fewer test sessions and get to treatment faster. Try it Monday: after ten minutes of observation, plot the notes by attention, escape, and tangible columns instead of by time. Pick the tallest column for your first test condition.
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02At a glance
03Original abstract
This investigation shows the merits of preceding experimental analyses with descriptive analyses of functional variables with preschool children who engage in problematic behavior. A two-phase descriptive analysis was conducted in daycare settings with three children. In Phase 1, the authors assessed the relation between child behavior and structural events. During Phase 2, the same behavior was replotted by functional variables. The results showed that when the descriptive data were plotted via functional variables, specific hypotheses could be generated regarding the variables controlling appropriate behavior. This procedure permitted the subsequent use of very brief experimental analyses to further identify functional relations. The use of descriptive analyses of functional rather than structural variables may be an important component in the assessment of problem behavior in community settings.
Behavior modification, 1999 · doi:10.1177/0145445599232008