Functional Analysis Data Interpretation and Case Studies

Overview of Functional Analysis (FA) Data Interpretation

  • Data collection: Collecting functional analysis data to determine the function of behaviors exhibited by participants.

  • Outcome differentiation:

    • Clear outcome: When FA results show distinct patterns indicating behavior functions clearly.
    • Ambiguous outcome: When results show no clear differentiation, making it difficult to discern behavior maintenance.

Clear Outcome Example

  • Interpretation:
    • Behavior occurs primarily in the demand (escape) condition.
    • Clear differentiation is observed between conditions, particularly between test conditions and control condition.
  • Conclusion:
    • Confidence that behavior is maintained by escape due to clear data patterns.

Ambiguous Outcome Example

  • Interpretation:
    • Lack of clear differentiation across conditions.
    • Minimal responding in the escape condition, failing to show a clear pattern.
  • Conclusion:
    • Results classified as ambiguous, necessitating further analysis to clarify behavior function.

Addressing Ambiguous Outcomes in FA

  • Literature Reference:
    • Reference to a model by Volmer and colleagues addressing ambiguous results in the analysis.
  • Study Background:
    • Drawing from the works of Bulmer et al. (1995) that addressed common problems in FA.
  • Common issues:
    • Clear results may not always be obtained, leading to two options:
    • Continue sessions until differentiation occurs (inefficient).
    • Cease sessions, risking a lack of treatment development.

Volmer's Functional Analysis Model

  • Model Phases:
    1. Phase 1: Brief FA sessions (1-2 hours) to identify differentiated results.
    2. If differentiation occurs: Clinicians proceed to treatment, potentially conducted by Roemler and colleagues' methods to confirm findings.
    3. If no differentiation:
      • Examine within-session data to identify possible extinction bursts (e.g., initial high responding dropping quickly).
      • Proceed to multi-element FA for deeper analysis.
    4. Multi-element FA:
    • Extended sessions intended to better facilitate differentiation.
    1. No interaction phase:
    • Alone condition repeated to observe for extinction or persistence of behavior.
    • Non-differentiation indicates automatic reinforcement when behavior persists across all conditions.
    1. Reversal design:
    • Employed to eliminate interaction effects or discrimination failure as factors for non-differentiated results.
  • Outcome Tracking:
    • Six clients identified function through brief FA; additional functions identified through multi-element and subsequent phases.
    • Total of 17 out of 20 FA sessions identified clear functions.

Henry et al. (2021) Study Update

  • Research context:
    • Henry and colleagues conducted a study to update functional analysis based on 25 years of subsequent research.
  • Participants:
    • 20 participants with Autism Spectrum Disorder and varying communication abilities.
  • Assessment Methods:
    • Indirect and descriptive assessments to define target behavior and relevant tasks.
    • Cited the study by Rucker et al. (2011) warning against false positives in tangible condition assessments.

Model Recommendations by Henry et al.

  • Volmer Model's adaptation:
    • Incorporated research findings like the extended interaction phase at the start.
    • Fixed reinforcement times for consistent data.
    • Altered termination criteria for methodologies employed in analyses.
  • Outcome Analysis:
    • Of the observed participants, differentiated outcomes were obtained across various sessions.
    • Persistence and extinction were indicators used in concluding behavior maintenance.

Conclusion and Practical Implications

  • Screening recommendations:
    • Clinicians to conduct extended alone or no interaction phases at the beginning of FA sessions for automatic reinforcement identification.
  • Efficient protocols:
    • Clinical practice should rely on these findings for informed decision-making on the next steps in treatment based on participant behavior.
  • Model validation:
    • The study demonstrated the effectiveness of the updated model, emphasizing a structured approach to FA.

Case Study Discussion

  • Nature of case studies:
    • Reflect real clinical problems in their unique contexts, serving as valuable contributions to research.
  • Differentiation from empirical research:
    • Case studies are less controlled than systematic studies but provide insights from practical cases.
  • Example Study:
    • Tiger, Fisher, Toussaint, and Kodak study (2009) – focused on progressions in dealing with functional behavior assessments.