Study Notes on Test Control Functional Analyses
Test Control Functional Analyses
Definition and Purpose
- Test control functional analyses (also known as a single function test or pairwise functional analysis) refer to a methodology that allows for the examination of one maintaining variable when time is limited.
- These analyses are efficient because they focus solely on confirming a suspected maintaining variable, allowing direct treatment applications without extensive testing of multiple variables.
Papers for Reference
- Awada et al. (1994) discusses the implementation of a single function test methodology, aiming to reduce time and improve clarity in results.
Awada et al. (1994) Methodology
Goals of the Methodology
- Address discrimination failure when quickly alternating between conditions, noticing how it affects client responses.
- Prevent interaction effects between conditions that might confuse the results, as seen with abolishing operations (AOs) or extinction bursts.
Methodological Design
- The authors combined aspects of multi-element and reversal designs to maintain clarity without necessitating multiple reversals.
- Test and control conditions are executed concurrently, yet the test conditions are presented sequentially to reduce interaction effects.
- Baseline/control remains constant, while test conditions vary across series, making up a sequential test control methodology.
Participants
- Five adults (3 male, 2 female) from a residential facility for individuals with developmental disabilities, diagnosed with severe/profound intellectual disabilities and histories of self-injurious behavior.
Procedure
- Conducted a multi-element functional analysis followed by sequential test control (pairwise analyses) to compare outcomes.
- Multi-element design consisted of alternating control condition (play) with test conditions (attention, demand).
Results from Awada et al. (1994)
Data Assessment
- Data represented responses per participant (e.g., Jake and Jerry) displayed through graphs comparing functional analyses results.
- Consistent patterns observed between multi-element and test control techniques for two of five participants.
- Clarified unclear initial results for some participants using pairwise analysis.
Conclusions
- Multi-element designs yield efficiency but combining aspects of both designs may clarify findings.
- Noted the difference in session length, suggesting potential stopping points once clear maintenance variables are identified, reducing assessment times.
- Recommended testing only one condition against a control if a strong suspicion of a maintaining variable arises based on observations or interviews.
Stromier et al. Case Study Example
Participant Description
- A 20-year-old male with cerebral palsy, diagnosed conditions included right hemiparesis, global developmental delay, and a seizure disorder, showing aggressive behavior in the context of divided attention.
Assessment Procedure
- Conducted descriptive assessments with observational data that indicated aggressive behavior emerged mainly when the participant was exposed to divided attention.
- Conducted functional analysis using test control methodology with eight sessions alternating between divided attention and control conditions.
Graphical Results
- Results showed a clear functional relation between aggressive behavior and divided attention conditions, represented distinctly between test and control phases prior to implementation of treatment.
Treatment Outcomes
- Differential Reinforcement of Alternative Behavior (DRA) was employed, which resulted in significant behavioral decreases and successful learning of functional communication by the participant.
Implications and Considerations of Functional Analysis
Shortening Assessments
- Discussion on the efficiency of functional analyses and the ability to conduct shorter assessments without compromising the accuracy of results.
Wallace and Iwata (1999)
- Proposed that instead of fewer sessions leading to less clarity, repeated brief sessions could enhance clarity and reliability.
- Conduct comparisons of functional analyses at different session durations (5, 10, and 15 minutes).
- Perfect agreements noted between 10 and 15-minute sessions, while discrepancies surfaced with 5-minute sessions, thus suggesting 10-minute sessions as a safer standard.
Griffith et al. Study
- Extended research on session duration in children with autism and functional behavior assessments aiming to validate previous findings.
- Emphasis on practical applications, confirming that effective treatment outcomes can stem from brief and stratified functional analyses.
Future Considerations
- Discussion of clinical scenarios where extended session durations might be warranted, balancing efficiency with the necessity for precise identification of maintaining conditions.
- The recommendations provided serve as guidelines; individual clinical situations may require flexibility in the approach to functional analyses.