Title: Chapter 11: QuasiExperimental and Single Case Experimental Designs
1Chapter 11Quasi-Experimental and Single
CaseExperimental Designs
2- Quasi-experimental designs
- QUASI sort of
- Emerged from the need to conduct applied research
in settings in which the control features of a
true experiment cannot be achieved - - Causal inferences can be much more difficult
as a result but are still do-able if done
correctly
3Program Evaluation
- Research on programs that are proposed and
implemented to achieve some positive effect on a
group of individuals - Done with schools, businesses, psychiatric
settings, etc. - - Programs honestly evaluated to determine
whether they are effective
4Program Evaluation (cont)
- Five types of program evaluations
- Needs assessment asks whether there are
problems that need to be addressed in a target
population (e.g., do kids need to learn something
they arent now getting?) - Assessment of program theory asks if program is
based on valid assumptions and whether program
addresses needs in appropriate ways (e.g.,
education theory?)
5Program Evaluation (cont)
- Process evaluation (program monitoring)
monitors the implementation of the program to
determine if it is reaching the target
population, attracting enough clients, etc. - Outcome evaluation (impact assessment) asks
whether the intended goals are being realized - Efficiency assessment asks whether the
resources used to implement the program was
worth it
6Quasi-Experimental Designs
- One-group posttest-only design (called a
one-shot case study
Lacks a crucial element of a true experiment a
control or comparison group. DONT USE IT!
7Quasi-Experimental Designs (cont)
- One-group pretest-posttest design
- May be used to determine an index of change
from the pretest to the posttest but
SUSCEPTIBLE TO ORDER EFFECTS (practice, fatigue)
and maturation, historical confounds, etc. (see
more next)
8Quasi-Experimental Designs (cont)
- Alternative (confounding) explanations to studies
using the one-group pretest-posttest design - 1. History event is confounded with the
manipulation - 2. Maturation changes that occur
systematically over time (fatigue, hunger,
intelligence, etc.) - 3. Testing pretest sensitizes people to the
purpose of experiment or make them more adept at
a skill being tested (practice effect)
9Quasi-Experimental Designs (cont)
- Morealternative (confounding) explanations to
studies using the one-group pretest-posttest
design (cont) - Instrument decay basic characteristics of the
measuring instrument change over time - Regression toward the mean when participants
are initially selected because they score
extremely high or low on some variable scores
later tend to change in the direction of the mean
when tested again
10Quasi-Experimental Designs (cont)
- Nonequivalent control group design
Better design BUT potential problem is that the
groups are not equivalent. An alternative
(confounding) explanation is selection
differences.
11Quasi-Experimental Designs (cont)
- Nonequivalent control group pretest-posttest
design
- EVEN BETTER but problem is participants are not
randomly assigned to condition so differences in
outcome may be due to self-selection or already
existing differences in groups.
12Quasi-Experimental Designs (cont)
- Interrupted time series design
- Examines the dependent variable over an extended
period of time, both before and after the IV is
implemented - Researcher keeps measuring MANY times before
intervention (baseline) and them MANY times
after intervention (treatment) - May be some interpretation problems (possible
regression to the mean)
13Single-Case Experimental Designs
- Traditionally called single-subject designs
- Now referred to as single-case and
single-participant designs - Historical tradition Behavior Analysis
- Techniques and logic applied to other research
areas - If done well, is a perfectly valid research
design
14Single Case Experimental Designs
Simple Reversal design A-B-A design Participant
s behavior is measured over time during a
baseline control period
15Single Case Experimental Designs
A-B-A design First baseline condition data MUST
be stable before intervention! Why?
16Single Case Experimental Designs (cont)
- Improving the A-B-A design using REPEATED
REVERSALS - ABAB design (treatment is tested twice)
- ABABAB design (treatment is tested three times)
- Why is it necessary to extend the basic ABA
design? - Single reversal is not powerful evidence for the
effectiveness of the treatment. Repeating the
reversal adds REPLICATION! - - Ethics sequence ends with the treatment
rather than the withdrawal of the treatment
17Single Case Experimental Designs (cont)
- What if reversal of some behaviors is impossible
or unethical? - Some treatments might produce a long-lasting
change that is not reversible - this especially occurs if researcher is
investigating a teaching technique (e.g., does a
technique to teach language work?) - What do we do then? (see next)
18Single Case Experimental Designs (cont)
- Multiple baseline designs
- Effectiveness of the treatment demonstrated when
the behavior changes ONLY after the manipulation
is introduced so no need to do reversal
19Single Case Experimental Designs (cont)
- Multiple baselines can be done in 3 different
ways - Multiple baseline across subjects
- Multiple baseline across behaviors
- Multiple baseline across situations (settings)
20Single Case Experimental Designs (cont)
21Single Case Experimental Designs (cont)
- Notice that IV (treatment) is implemented at
different times. Why? To control for historical,
practice, maturation confounds.
22Single Case Experimental Designs (cont)
- Important to do replications in single case
designs over time. - Also researcher present results from each
participant individually rather than group data.
Why? Because each participant was his or her own
group (many scores obtained for each
individual). - If you can show the same effect for each
individual again and again across many people,
then you can be very certain that the IV has an
effect
23The End