Research
Methods
for the digitally
inclined
by
Stephen R. Schmidt
|
Experimental Control
How to avoid threats to validity
I. Introduction: Goals
II. Types of Experimental Control
III. Means of Achieving Control
IV. Summary
I. Introduction: Goals
A. Infer true causal relations
1. Rule out alternative explanations
(threats to validity)
2. Hold ìall other things equalî
constant influence of extraneous factors
B. Determine true functional relations
1. control over the levels of a variable
2. Hold all else constant
Example: Memory as a function of retention interval
Jenkins & Dallenback (1924)
Two subjects studied non-sense syllables
They were tested either immediately, 1, 2, 4 or 8 hours later
During the retention interval they either were awake doing daily activities,
or they slept.
Classic Shape of the curve: (Woodworth, 1938)
Rubin, Hinton, & Wenzel (1999)
Used a continuous recall task to get a lot of data
to precisely model the time course of retention.
The best fitting curve was the sum of three different
log functions.
II. Types of Experimental Control
A. Experimental versus Control groups
Experimental group: treatment
Control group: no treatment
Control group is necessary for
a comparison
Example: use of a computer to aid instruction
B. Control over the levels or values of the independent variable
Example: the effects of cigarette smoking on the number
of colds a person gets in a year
- must control cigarette smoking.
C. Control over the experimental setting
- preventing extraneous variables
Example: controlling the noise in an auditory perception
experiment
D. Control Variable:
A potential independent variable that is held constant across conditions
in an experiment.
Example: survey of attitudes toward sexual harassment in
the workplace
Control: gender, age, race, etc.
III. Means of Achieving Control
A. Randomization
1. Random selection
Each person in a population has an equal opportunity to participate
in the research.
- issue external validity of the results
- not really possible
2. Random Assignment:
Each participant or item has an equal opportunity to be in each treatment
condition.
- easy to accomplish
- necessary to protect internal validity
A. Randomization (cont)
3. What randomization accomplishes
a) avoids systematic differences
b) controls both known and unknown variables.
4. Things to randomize:
-
- subject assignment to condition
-
- use of research materials or items (e.g., words in a list)
-
- order of treatments (e.g., drug, no drug, . . .)
-
- order of questions on a questionnaire
5. How to randomize
-
- step 1: assign values to outcomes (e.g., heads = females)
-
- step 2: create a random series of outcomes
- flip coins
- draw cards
- use a random numbers table
Random numbers table (p. 446 )
10480 15011 01536 02011
22368 46573 25595 85393
24130 48360 22527 97265
42167 93093 06243 61658
37570 39975 81837 16656
77921 06907 11008 42751
99562 72095 56420 69994
96301 91977 05463 07972
B. Counterbalancing
Definition: A means to systematically vary important control variables
so that their influences are equally distributed across conditions.
Insures that each condition precedes and follows each other condition
an equal number of times.
Counterbalancing (cont)
1) Things to counterbalance:
- order of treatments
- order of questions
- position of items
- subject variables (e.g., reading level)
With 2 levels of an independent variable:
2) Intra-subject counterbalancing:
A B B A
Example: effects of caffeine on reading speed
Without counterbalancing: Caffeine, No Caffeine
With counterbalancing:
No Caffeine, Caffeine, Caffeine, No Caffeine
3) Intragroup Counterbalancing:
Group 1: A B
Group 2: B A
Example Group 1: Caffeine,
No Caffeine
Group 2: No Caffeine, Caffeine
With four levels of an independent variable:
A= caffeine
B= cold medicine
C= alcohol
D= no medication
Latin Square
A B C D
B C D A
C D A B
D A B C
4) Counter balancing a subject variable:
(e.g. reading speed)
Rank the subjects: 1, 2, 3, 4, 5, 6, . . .
Cond 1: 1, 4, 5, 8
Cond 2: 2, 3, 6 ,7
C. Matching
Definition: A means of controlling a variable by attempting
to equate it across conditions.
Things to match:
-
subject variables: IQ, SES, Age, Gender, . . .
-
stimulus variables: word frequency, word length . . .
-
environmental variables: time of day, room . . .
Matching procedures:
1) Hold the variable constant:
example: hold reading level constant in drug study.
problem: limits external validity
2. Matched Groups:
hold the average across groups constant
Example: construct 2 groups that have the same mean reading level
Problem: may hold the mean constant, but the range and variance may
be very different.
3. Incorporate the Variable as an additional independent variable.
Example:
|
Caffeine |
No Caffeine |
| Reading Level 1 |
|
|
| Reading Level 2 |
|
|
| Reading Level 3 |
|
|
Problem: may lead to very large experimental designs.
4. Yoking
Pair subjects or items on an important dimension, and then
randomly assign one member of each pair to each condition.
Brady (1958) "executive monkey"
(an example in yoking)
-
Monkeys trained to avoid an electric shock by pressing a lever whenever
a light came on.
-
Each press of the lever postponed the shock for 20 sec.
-
Four pairs of monkeys were paired so that one monkey received the same
shock as the ìexecutiveî that could avoid the shock.
Results: All four executive monkeys developed ulcers, while
none of the yoked monkeys did.
Conclusion: The stress of making decisions caused the
ulcers.
And now for the rest of the story!
Executive Monkeys Part Deux
-
How were the monkeys select for the executive positions?
-
Monkeys that were easy to train (high responders) were selected as
executives. Weiss (1971) demonstrated that high responders were more
prone to ulcers than low responders.
-
Study repeated with the animals equated for activity level.
-
Animals that had control had less severe ulcers than those that do not
have control
(Faltz & Millett, 1964; Naletson, 1976)
IV. Summary
A. Goal: to conduct research that is free from threats to validity.
B. This means exercising control over the important variables
C. Primary Means of Achieving that control:
-
- randomization
-
- counterbalancing
-
- matching
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