User’s Guide to Functional Behavioral Assessments (FBAs) &
Student Support Plans (SSPs)
Element 1: Identify resilience characteristics and strengths.
Consider strengths stemming from family, cultural, community circumstances. Include
attributes associated with resiliency - character traits, social skills, and resources that help
a person to deal with tough times and challenging issues. Resiliency characteristics might
include:
● Trust relationship with one or more people in the family or community.
● Trust relationship with one or more adults in the school.
● Social skills that enable the student to cooperate with others.
● Food security. (The student knows he will always have enough to eat.)
● Friendship with at least one student.
● The student feels safe at school.
● The student feels safe at home.
● The student feels safe in her community.
● Capacity to adapt social skills to immediate circumstances, switching between
home, school, and community as needed.
● Optimistic, hopeful view of circumstances and future; believes things will get
better.
Element 2: Define problematic behavior.
Specific descriptions include location, rate of behavior, percent of time, and intensity. In
most situations where an FBA is initiated, data have already been gathered through referral
to a school support team and/or implementation of general education interventions. To
clearly define problematic behavior, educators access these data and, within a matter of a
few minutes, come to an agreement regarding a clear, concise description of behavior. In
situations where referral for special education evaluation is considered and such data are
not available, it could be that team members need to make sure general education
interventions have been authentically identified and implemented. When support teams
routinely run into problems with this beginning step, it could be that general education
intervention protocols need to be reviewed and revised.
Note: This FBA/SPP process is fully adaptable to general education intervention (GEI) processes. When
used at the GEI level, teams sometimes need to develop a data-drivenulture as they work together to
help students. It is critical to support educators as data management skills are developed, just as
supports are provided to students who are learning new and (for them) difficult skills.
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