Title: Chapter 8: Experimental Design simple designs with 2 levels of IV
1Chapter 8Experimental Design(simple designs
with 2 levels of IV)
2Heres a possible research question
- Does crowding affect learning ability?
- How can we design an experiment to test this once
we define crowding and learning? - Any ideas, folks?
3Heres a possible research question
- Possibilities
- 1. Half of people exposed to crowding, half
exposed to no crowding, then measure differences - 2. Same people first exposed to crowding then no
crowding, then measure differences - Other ideas?
4More about our research question
- Is there a problem if the room is hotter for the
more crowded situation than the less crowded
one? - Any ideas, folks?
- How can we CONTROL for these kinds of problems?
5Confounding and Internal Validity
- Experimental method has advantage of allowing a
relatively unambiguous interpretation of the
results. - Manipulated independent variable
- - Create groups (or conditions) that differ in
levels of IV - Compares groups (or conditions) in terms of their
scores on DV - - All other variables kept constant through
direct experimental control and/or randomization
of subjects
6Confounding and Internal Validity (cont)
- An experiment has STRONG internal validity when
results (differences in dependent variable) can
confidently be attributed to the effect of the
independent variable. - In other words, little or no possibility
something ELSE (a CONFOUND) caused the differences
7Basic Experiments
- Simplest possible experimental design
- Uses ONE independent variable with only two
levels (an experimental or treatment group or
condition and a control or placebo group or
condition) - Uses randomization of assignment of participants
to groups or conditions - Experimental control can be seen by holding
everything constant EXCEPT for IV manipulation
8Basic Experiments (cont)
- The basic, simple experimental design with 2
groups can take one of two forms - Posttest-only design
- 2. Pretest-posttest design
9Basic Experiments (cont)
- Posttest-only design the manipulation is done to
the participants (randomly assigned to different
groups) and then you measure if there are any
differences between the groups afterwards
R random assignment to conditions
10Basic Experiments (cont)
- Pretest-posttest design
- Same as a posttest-only design but adds a pretest
before the experimental manipulation to the 2
groups - This allows the researcher to tell if the groups
are equivalent at the beginning of the experiment - Whats the problem if they arent?
11Basic Experiments (cont)
- Advantages and Disadvantages of the two basic
2-group designs - Advantages of the pretest-posttest design
- You can assess equivalency between the two groups
before you do manipulation
12Basic Experiments (cont)
- Disadvantages of the pretest-posttest design
- Time consuming and awkward to administer
- Sensitizes participants to what is being
studied - Demand characteristics
- Possible solutions to control for demand
characteristics disguise pretest, embed
the pretest in another measure, - concealed observation
13Another TWO names for a 2-group post-test only
design are
- Independent groups design (aka between-subjects
design) - Just like we already talked about, participants
are randomly assigned to 2 conditions to make 2
groups (Half of participants are in one group
half in the other group)
This is NOT what we did in Stroop study but we
could have
14Can you do a 1-group design? YES!
- Repeated-measures design (aka within-subjects
design) - The same participants are observed in BOTH
conditions, one after the other - How does this differ from pre-test post-test?
This IS what we did in Stroop study
15Assigning Participants to Experimental
Conditions (cont)
- Advantages and disadvantages of
repeated-measures designs - Advantages
- Fewer participants (more economical)
- Extremely sensitive to statistical differences
- (more likely to detect an effect of the IV
on the DV ?this is called POWER)
16Assigning Participants to Experimental
Conditions (cont)
- Advantages and disadvantages of repeated-measures
designs - Disadvantages
- Order effects
- - Practice effects (scores often INCREASE
with time) - - Fatigue effects (scores often DECREASE
with time) -
17Assigning Participants to Experimental
Conditions (cont)
- How do we CONTROL for possible confound of order
effects? - Counterbalancing techniques
- Complete counterbalancing all possible orders
of presentation of conditions are used - Latin square used in experiments with many
conditions (not just 2) - Randomized blocks used when conditions are
repeated many times
18Developmental Research Designs
- Developmental psychologists often study the ways
that individuals change as a function of age. - 1. Cross-sectional method measured at one
point in time - 2. Longitudinal method same group observed at
different times as they get older (best internal
validity) - 3. Sequential method combination of 1 2
19Developmental Research Designs (cont)
20Developmental Research Designs (cont)
- Design considerations
- Cohort effects possible confound in
cross-sectional design - Mortality effects possible confound in
longitudinal design - Monetary costs longitudinal costs more
- Difficulty level harder to do longitudinal
21The End