Transcript Chapter 3
Experimental Psychology
PSY 433
Chapter 3
Experiments -- Designs
Two Kinds of Influence on DV
Systematic – affects the DV in the same way
each time.
Can introduce bias into results.
When it occurs due to the manipulation of the
IV we call it an “effect.”
Random – varies and thus affects the DV
differently from observation to observation.
Can introduce “noise” into results.
Typically makes it more difficult to observe
systematic influences.
Confounding Variable
Any variable, besides the IV, that can
influence the DV.
A potential cause for the experimental effect,
other than the IV.
An alternative explanation for observed
findings in a study.
Any variable whose values change
systematically across levels of the IV.
Control Variable
A variable whose values remain the same
across levels of the IV (e.g., room temp, light
levels, time-of-day, etc).
A goal in experimentation is to control as
many variables as possible, to eliminate their
potential effect on the DV.
Eliminates both confounds and noise.
Except for the IV, each subject should have
as closely similar an experience in the
experiment as possible.
Random Variable
Variable whose values vary randomly in an
unbiased way across levels of the IV.
Random variables are usually created by the
process of random assignment to levels in
the experiment.
Subject Variable
A personal characteristic
Sex, height, weight, age, education, ethnicity,
socio-economic status, etc.
Sometimes called a “demographic” variable.
Data describing subject characteristics should
be collected in every study.
Can be controlled or left to vary
unsystematically (through random
assignment to levels).
Control Group
The group that receives no intervention,
“zero” or “the absence of” the IV.
Eg, the placebo group in a drug experiment.
The group that serves as a baseline to
compare with the behavior of the
experimental groups.
Experimental Groups (Levels)
The groups that receive non-zero values of
the IV, the groups receiving some
intervention.
The drug groups in a drug study.
Also called “levels” of the IV.
The performances of these groups are
compared with the performance of the
control group.
Conceptual Definition
Definition of a variable at the conceptual or
idea level.
Tends not to be very precise, more general.
May be expressed in terms of constructs
(intervening variables).
Operational Definition
Specifies the operations or procedures
necessary to measure the variables
relevant to the conceptual definition.
Very precise.
Not general or vague at all.
Tells how the dependent variable was
measured.
There may be many operational definitions
(and DVs) for a single conceptual definition.
ODs and CDs - Example 1
Conceptual - Amount of alcohol
consumed
Operational - # of beers in 1 hour (0,1,2,3)
Operational - grams of alcohol/kg body
weight
Operational – blood alcohol content, BAC
(mg alcohol/deciliter blood).
ODs and CDs - Example 2
Conceptual - Helping behavior
Operational - # of people who help a “victim”
in a defined context.
Operational - duration of helping behavior.
Operational - # seconds before helping
occurs (latency).
Complex Designs
More than one IV
Left/Right and 1, 5, or 10 spaces from
center
More efficient than single IV experiments
Gives more information
Allows analysis of main effects and
interactions.
Complex Designs - Terminology
An IV is called a factor
number of numbers = how many IVs there are
values of numbers = how many levels each IV has
Examples:
“2 X 2 design” (two IVs, each with 2 levels)
“2 X 3 design” (first IV has 2 levels, second IV has 3
levels)
“2 X 8 design” (first IV has 2 levels, second IV has 8
levels)
“2 X 2 X 4 design” (first IV has 2 levels, second IV
has 2 levels, third IV has 4 levels).
Main Effects
There is one potential main effect for
each IV
A 2 X 8 design has two possible main
effects
A 2 X 2 X 4 has three possible main
effects
A main effect is present if an IV had a
significant effect on the experiment’s
outcome (regardless of the effects of the
other IVs).
Interactions
Please memorize: “An interaction occurs if
the effect of one IV varies depending on the
level of the other IV”
Designing Experiments
Two general types of designs
Between-subjects (independent groups) =
each group gets one level of the IV
Within-subjects (repeated measures) =
each subject gets all levels of the IV
Equivalency of groups at each level is built-
in for within-subjects and achieved by
random assignment for between-subjects
Within designs require fewer subjects
because there is less variability between
levels.
Order Effects
Order effects (practice effects) =
experiencing one level affects behavior in
another level
Effects of practice, boredom, fatigue
Example: Does content (biology text vs.
novel) affect proofreading speed? Order is
Biology-Novel
Order effects are controlled in withinsubjects designs by randomizing or
counterbalancing the presentation orders.
Differential Carryover Effects
Carryover effects, differential/asymmetrical
transfer effects occur when experiencing
one level affects performance on the next.
The effect of the first level on the second
level differs depending on which comes
first.
Effect of B following A ≠ effect of A following
B
Confound occurs when one level
consistently precedes the other.
Order Effects in Proofreading
Group 1 (no practice)
Biology
1
(practice)
Novel
2
(no practice)
Novel
1
(practice)
Biology
2
Group 2
Differential Carryover Effects in
Problem Solving
Group 1
Group 2
(no practice)
Neutral
instructions
1
(practice)
Special
instructions
2
(no practice)
Special
instructions
1
(practice)
Neutral
instructions
2
Other Considerations
Mixed designs (some between, some
within)
Small-n designs
Matched groups designs
Demand characteristics = cues that tell
subjects how they should behave (eg, drug
studies)
Blind and double-blind procedures
Internal and external validity
Quasi experiments.