section 5 Flashcards
Experimental control
Aka functional relations
Analysis
Control
When a predictable change in behavior can be reliably produced by the systematic manipulations of some aspect of the individuals environment
4 important behavior elements
Behavior is individual
Behavior is continuous
Behavior is determined - by functional relations it holds to other events
Behavior variability is extrinsic to the organism
6 components of experiments in abs
At least one subject
At least on behavior
At least one setting
At least one treatment
A measurement system and ongoing analysis of data
An experimental design
Experimental question
Brief but specific statements of what the researcher wants to learn from experiment
At least 1 subject design
Aka
Single case designs
Within subject
Intra-subject design
Single subject doesn’t always mean one person- subject acts as his/her own control
Each subject (usually 4-8) data is graphed separately
At least 1 behavior
Aka dependent variable
1 DV is measured
Provide data patterns that can serve as controls for evaluating and replicating the effects of an IV
Collateral effect
Phenomenon in which the IV effects behaviors other than the targeted behavior
2 types of experimental designs
Nonparametric analysis
Parametric analysis
Nonparametric analysis
IV is either present or absent during study
Meds are given and taken away during study
Parametric analysis
The value of the IV is manipulated
Various doses of of medicine are given during the study
Treatment package
Aka behavioral package
When multiple Ivs are bundled into one program - such as token economic with praise and time out
Component analysis
Looks at effect of each part of treatment package
Steady state responding
Aka stable state responding
Pattern of responding that exhibits very little variation in its measured dimensional quantities over a period of time
Provides the basis for baseline logic
Baseline logic
Refers to experimental reasoning
Prediction
Verification
Replication
Steady state strategy
Repeated exposure of a given subject to a given condition while trying to eliminate extraneous influences on behavior and obtaining a stable pattern of responding before introducing the next condition
4 patterns of baseline data
DAVS
Descending baseline
Ascending baseline
Variable baseline
Stable baseline
3 parts of baseline logic
Prediction
Verification
Replication
5 main experimental designs
Multiple baseline
Changing criterion
Reversal
Alternating treatments
Withdrawal
Multiple baseline design
Most widely used
Can do multiple baseline across
Behaviors
Settings
Subjects
Multiple baseline across behaviors
2 or more different behaviors of the SAME SUBJECT
Each subject serves as his/her own control
Multiple baseline across settings
A single behavior is targeted in 2 or more different settings or conditions.
Multiple baseline across subjects
One target behavior for 2 or more subjects in the same settings
Most widely used multiple baseline design
2 variations of multiple baseline design
Multiple probe design
Delayed multiple baseline design
Multiple probe design
Analyzes relation between the IV and acquisition of skill sequence
Instead of simultaneous baselines, probes provide the basis for determining if behavior change occurred prior to intervention
Delayed multiple baseline design
I tail baseline and intervention begin and subsequent baselines are added in a delayed or staggered fashion
Effective when reversal design is not possible, limited resources preclude a full scale design and when a new behavior, subject, or setting becomes available.
Guidelines for multiple baseline design
Select independent, yet functionally similar baselines
Select concurrent and plausibly related multiplied baselines
Do not apply the IV to the next behavior too soon
Vary significantly the lengths of multiple baseline
Intervene on the most stable baselines first