5- fundamentals of single case experimental design l Flashcards
- Small number of subjects
- multiple, repeated observations
- When independent variable is introduced, changes in the independent variable are made once the dependent variable has reached a steady state
Single case designs
The variable in an experiment measured to determine if it changes as a result of manipulations of the independent variable. In ABA, it represents some measure of socially significant behavior.
The variable that is systematically manipulated by the researcher in an experiment to see whether changes in the independent variable produce reliable changes in the dependent variable. In ABA, it is usually an environmental event or condition antecedent or consequent to the dependent variable.
Dependent variable
IV introduction:
Changes in the IV assigned according to randomize and match designs.
Method of data analysis: Usually inferential statistics
Exposure to the treatment:
Each individual often exposed to only one level of the IV….That is, either baseline OR treatment
Comparison is made between groups of individuals
Control group versus experimental group.
Large numbers of subjects.
Few, often single observations
Group design:
- Permit investigation of behavior change as a dynamic process
- Repeated measurements and stability criteria mean that you need to keep observing
- Permits you to see patterns of behavior change
- Taking single measurements obscures that process
Single case design advantages: dynamic change. …Relative to group designs
Allows examination of interest subject variability
Group Design may not reveal anything about the performance of any given individual
eg, and increased group score might reflect great improvement for a small number of subjects, while the majority did not change or performance decreased
Allows the examination of intra- subject variability
Difficult to detect sources of within subject variability with group data
Better for exploration of idiosyncratic affects and serendipitous findings because the data path is not constrained by hypothesis testing
Single group design Advantages : Variability
The goal is to demonstrate a functional relation between the independent and dependent variables
- Functional relation: when A, and only A, causes B
- Determined/demonstrated through systematic manipulation
The repeated and systematic presentation and removal of an independent variable E.g.,The intervention while measuring the dependent variable(s) (Target bx) , and holding other factors constant
There is no distinction in systematic manipulation used for treatment of evaluation for experimental design
Experimental design in ABA
provides information about existing extent of the problem.
Serves as an indication of whether the intervention is necessary.
Baseline function
Movement from one kind of independent variable to another kind of independent variable describes what?
gather baseline data for three sessions
Need at least three to start a trend.
Regardless of length, consider the last three points as a small trend.
A qualitative research for determining if the trend is sufficiently stable
Example: no more than 25% deviation in last three points. No trend in any direction in last three points.
Particularly important in research
When in doubt, Run it out
Phase change
You are making tremendous progress with a research project when suddenly the behavior dramatically changes. After interviews you were informed that the subjects parents divorced. What is the probable threat to internal validity?
History
I am going to do a withdrawal design with a four-year-old who receives frequent praise for appropriate replacement behaviors. During the with drawl face his mother continues to give him praise occasionally.
Diffusion of treatment
I am running a long-term study on the effects of a language acquisition program. I work with children from the time they are one and a half until they are four years old. All of my participants increase their language.
Maturation
I am doing a study with group home staff on increasing performance. One week into my study the group home manager quits.
History
I am examining the effects of a new teaching program on receptive identification. Aside from my intervention, one of my participants is also receiving outside therapy on identified picture cards.
History
I am doing a study on reducing tantrum behavior, and I still have interobserver agreement of 50%.
Instrumentation
Based on the data above what is your conclusion about the response class program?
It has a reductive effect on tantrums
Assessment of the dependent variable prior to the introduction or change of the independent variable
Does not necessarily imply the absence of treatment
State of events before you made any changes
Baseline logic BL Definition
Baseline ohase A: independent variable is absent
Intervention phase B: independent variable is introduced and remains present
Baseline data are first collected on two separate behaviors, versus withdrawal, and what you think of behavior is tracked.
Next, treatment one is applied to behavior one; at the same time, treatment to his apply to behavior to.
Treatment 2 is usually the reversal I have treatment one, but can be a no treatment a.k.a. BL condition
Return to baseline A: independent variable is withdrawn
If behavior changes systematically as a function of the introduction and withdrawl of the independent variable,
The likelihood is small that some extraneous variable produced the behavior change.
This likelihood decreases with each subsequent withdraw an introduction of independent variable Prediction, verification, and replication
instead of simply withdrawing treatment one from behavior 1 In the next phase, the treatments on the two behaviors are reversed. Behavior one receives treatment to, and behavior to now receives treatment one.
In the final phase, the interventions are once again reversed: behavior number one again receives treatment number one, and behavior two goes back to receiving treatment two
Essentially this is two concurrent but out of phase with drawl designs, imposed on two behaviors, which are possibly functionally related.
Reversal designs: ABA
Reversibility – some behavior changes are not reversible:
Intervention produces effects that are impossible to withdraw e.g., skills acquisition
Behavior after initial change, makes contact with other variables that make reversal unlikely even intervention is withdrawn
E.g., contrived reinforcement to support Social initiations – initiations get support by the response of others
The ethics of intervention reversal
In cases, it may be an ethical to reverse treatment
You’re going to do what now with my child?
Balancing reversal ethics with the right to effective treatment
It may be unethical not to show a functional relation
Which phase first- does the analysis always start with the absence of the independent variable?
If intervention is immediately critical, Analysis may begin with an intervention phase
Beginning with intervention does not alter the logic of the design
Most straightforward single case arrangement
Most powerful demonstration of functional relationships
Reverse limitations : Irreversibility
Ethics
This distinction was originally going to be made by the fourth edition task list, but since it is no longer commonly used either in practice of literature, the distinction is no longer required by the board
Withdrawal versus Reversal
Baseline is followed by a treatment condition. The intervention used in the treatment condition is then withdrawn and returned to baseline.
Baseline, BL, and a treatment I, Tx, or alternated,
A-B-A design
Often ends in treatment: A B A B
Withdrawal
Three standard variations of multiple baseline data
Multiple baseline across
subjects
behaviors
settings
When two or more base lines are established, followed by the staggered introduction of the independent variable to each baseline, this procedure describes which experimental designs.?
Inappropriate when the behaviors are interdependent
Changing behaviors and one baseline is likely to change behaviors and the other baselines even before the independent variable is presented
Intermittent measures, or probes are taken rather than continue with measurement on each baseline
Procedurally
Two or more independent baselines Are established.
The independent variable is then separately introduced in a staggered fashion to each
When baseline is stable for the first baseline, the independent variable is introduced on the second baseline and so on (design logic)
Experimental control is demonstrated by showing that behavior changes when, and only when, the independent variable is introduced to each baseline
The possibility of extraneous variables causing the change is highly unlikely under the circumstances
Usually dictated by the stability, level, and trend of the first baseline
Same rules apply, as long as necessary, as short as possible
Often first baseline is continuous, but subsequent baseline data collection is conducted on an intermittent basis relative to the first base
How many baselines? The larger the number, the more convincing. Lanes both internal and extra no validity
Using only two base lines in a multiple baseline design can be a risk.
If one does not change, the conclusions are questionable, essentially an AB design
If 3+ our use and one does not change, still a reasonable demonstration of experimental control, the failure is the likely outlier
Multiple baseline design