Assessment & Research

An Investigation of the Correspondence between Results of Contingency Space Analysis and Intervention Effects for Addressing Interfering Behavior of Middle-School Youth

Quade et al. (2022) · Behavior Analysis in Practice 2022
★ The Verdict

A simple one-page CSA grid correctly picked the right behavior fix for three of four middle-schoolers, giving BCBAs a fast classroom screening tool.

✓ Read this if BCBAs working with middle-school students in general-education classrooms who need quick intervention choices.
✗ Skip if Clinicians serving only early childhood or self-contained special-ed rooms where full FBAs are already required.

01Research in Context

01

What this study did

Quade and team tested a quick classroom tool called contingency space analysis (CSA). They used CSA to guess which intervention would calm each student's interfering behavior.

Four middle-schoolers in general-ed classes took part. Staff watched each student for a short time, filled out the CSA grid, then picked an intervention that matched the pattern they saw.

02

What they found

The CSA guess was right for three of the four students. The chosen interventions cut the target behavior in those three cases.

One student's behavior did not improve after the CSA-picked plan. Even so, the hit rate shows the tool can help busy teachers choose first-step treatments without long assessments.

03

How this fits with other research

Dolezal et al. (2010) ran a short structured descriptive assessment (SDA) for one student with TBI/ID and also saw problem behavior drop. Both studies say a brief pre-test can guide classroom fixes, but CSA is faster because it needs only one grid, not long notes.

Orsmond et al. (2009) wiped out problem behavior in eight autistic students by changing three context spots (transitions, ending fun tasks, feared items). Their context tweak worked for every child, while CSA worked for three of four. The difference is not a clash—CSA is a screening tool, not the full fix. You can use CSA first, then add context tweaks if needed.

Matson et al. (1994) mixed student interviews with teacher tests to build an FBA package that lifted on-task behavior all year. CSA gives you a similar path with less talking and more visual data, handy when students won't or can't interview well.

04

Why it matters

If you support middle-schoolers with mild to moderate behavior issues, CSA can speed up your decision making. One 15-minute observation sheet can point you to an intervention that is likely to work. Try it next time you need a quick hypothesis in a general-ed setting before you commit to a full FBA.

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Pick one student with mild interfering behavior, fill out a CSA grid during a 15-minute observation, and test the suggested intervention for three days.

02At a glance

Intervention
not applicable
Design
single case other
Sample size
4
Population
not specified
Finding
positive

03Original abstract

The literature provides various tools for identifying successful interventions for interfering behavior of individuals with intellectual or developmental disabilities, yet less literature is available pertaining to students who do not have cognitive impairments. The purpose of the current study was to investigate the correspondence between the results of contingency space analyses (CSA) and interventions for four middle-school boys who engaged in interfering behavior. Researchers directly observed natural interactions between each student, his teacher, and peers during three baseline sessions. The students’ teacher then implemented three intervention conditions. Using direct observation data, researchers conducted a CSA of the baseline data and determined the natural contingencies between student behavior and social consequences. The results of the CSAs were then compared to the effects of the intervention conditions. For three students, results of the CSA were consistent with results of the intervention analysis. Results provide preliminary support for the CSA as a tool for identifying hypothesis-based interventions.

Behavior Analysis in Practice, 2022 · doi:10.1007/s40617-021-00641-0