Title: Sources of Demand Characteristics
1Sources of Demand Characteristics
- Natalie P. Goodwin
- UAB Medical Psychology
- Research Methods
2Artifact and Bias
- Issues that can threaten validity of an
experiment. - An artifact is an extraneous influence which can
include anything that the experimenter is not
interested in examining. - Stages of artifacts include ignorance, coping and
exploiting. - Bias
- Can stem from those conducting research, demand
characteristics, subject roles and subject
selection.
3What is a Demand Characteristic?
- Can be an artifact AND the results of bias.
- Demand characteristics refer to cues in the
experimental situation that may influence how
subjects respond. - The cues may influence results.
- Cues can come from the experimenter behavior, the
setting, experimental materials and context.
4Clever Hans 1900s
- Clever Hans was a horse who belonged to Mr. Von
Osten, a German mathematician. - Hans was able to solve math problems submitting
his answer by tapping his foot. - Oskar Pfungst, a psychologist, was called upon to
investigate the story. - He found that the horse was responding to
involuntary cues given by his owner.
5Hawthorne Effect 1924-1932
- Experiments done with Hawthorne Works near
Chicago to evaluate productivity increase. - They changed the conditions of the environment to
see what would increase productivity. - All changes initially brought on more
productivity, but eventually there was regression
to the mean. - One explanation may have been that they worked
harder because they were being individually
monitored and were yielding to demand
characteristics, doing what they thought the
experimenter wanted.
6Bringing in the Placebo
- Demand characteristics and the Placebo Effect can
go hand in hand. - The behavior of the doctor administering the
placebo can impact results. - The context the placebo is administered in can
impact results - This can help lead to the placebo effects that we
spoke of last week.
7On the Social Psychology of the Psychological
Experiment With Particular Reference to Demand
Characteristics and their Implications
8The issue
- What factors are apt to affect the subjects
reaction to the well-defined stimuli in the
situation? What is done to the subject? - Differences between physical science and
behavioral science. The subject is an active
responder to the environment with thought and
consciousness. - What is the subjects motivation, perception, how
will they react to cues? - Need to have techniques of control to isolate
environment effects so as to separate them from
experimental effects.
9The Subject
- The agreement to be a part of the experiment
- How well will the subject play their role and
allow themselves to be under the control of the
investigator. - They agree often with limited information about
what they will do. - The experimenters degree of control is an issue.
10The extent our subjects may go to
- Orne wanted to develop a study that would show
the degree of control in an experiment - Subjects were asked to complete tasks that were
incredibly noxious, meaningless or boring. - One task included doing an obscene amount of
additions, (Im not kidding 224 per page, 2000
pages). - To make things even worse, the next task included
having subjects tear their sheets into 32 pieces
when they were done.
11The extent our subjects may go to
- In the experimental setting there is a high
degree of control in the experimental situation
itself. - Subjects continued to perform boring, unrewarding
tasks, with little errors and decrement in speed.
- Remarkable compliance.
- Efforts are justified by the ultimate purpose.
12On being a good subject
- Useful contribution means that the experimenter
must be competent and that he acts as a good
subject - Did I perform well in my role as experimental
subject? Did my behavior demonstrate that
which the experiment is designed to show? - Play the good subject who validates the
experimental hypothesis? not a passive responder!
13Orne on demand characteristics
- Subject participates in problem solving behavior
- Demand characteristics are thus, the cues a
subject pays attention to that convey an
experimental hypothesis that helps inform them of
how to be a good subject - This can include campus rumors, the experimenter,
information conveyed, setting and implicit
communication.
14Orne on demand characteristics
- Another important factor is that cues can lie
within a subject meaning that their past
knowledge and experience may influence them. - An exampleif you are given a pre-test for
anxiety before and intervention, then you do a
post-test, how many of you would be confused
about how you were expected to respond.
15The proposed heuristic assumption
- A subjects behavior is determined by
- Experimental variables
- Perceived demand characteristics
- If behavior is due to demand characteristics,
this will influence replicability and
generalizability of the influence of experimental
variables - Demand characteristics will always exist, but we
need to be aware of them and when they become
significant. - View demand characteristics as a contextual
variable
16Ornes Experiments
- Showed that subjects were only influenced by
demand characteristics if they could verbalize
the experimenters hypothesis. - Perceiving the experimenters hypothesis was a
more accurate predictor of the subjects
performance. - It was not just conscious compliance, but
nonconscious as well.
17Potency
- Demand characteristics are most potent when they
convey the purpose of the experiment, but not
obviously. - If the purpose is too obvious, there is a
tendency to lean over backwards to be honest. - If the purpose is ambiguous, different hypotheses
are formed and results are not consistent.
18So then
- We need to take demand characteristics into
account, study them and manipulate them. - One of the basic characteristics of the human
being is that he will ascribe purpose and meaning
even in the absence of purpose and meaning.
19How to Deal
- Post experimental inquiry
- Subjects realize they are supposed to act naïve
about the purpose of the experiment - A simple procedure that at the end of an
experiment, simply asks What do you think the
experiment is about?, What was expected?, How
were you supposed to perform? - This will inform you if demand characteristics
have been involved in performance. - Issues
- The subjects perception of the hypothesis is
based on his own experimental behavior and
correlation between these two variables may have
little to do with the determinants of behavior. - The inquiry itself may be subject to demand
characteristics.
20How to Deal
- Preinquiry (Riecken, 1958 and Orne, 1959)
- An attempt to control first issue of Post-inquiry
- Subject is exposed to all the procedures, but
does not actually go through the experiment and
then does the measures. - If I had asked you to do all these things, what
do you think that the experiment would be about,
what do you think I would be trying to prove,
what would my hypothesis be? - Issues Again they are subject to demand
characteristics.
21How to Deal
- Simulators
- An attempt to hold the demand characteristics
constant and eliminate the experimental variable. - Simulators are a group of subjects that is not
exposed to the experimental variable, but are
expected to act as if they were. - They complete assessment and experimenter is
blind. - If simulators can deceive an experimenter, or act
identically as a real subject, then results can
be due to demand characteristics.
22Experimenter and Clinician Effects in Scientific
Inquiry and Clinical Practice
23Rosenthal
- Interested in biasing effects of the experimenter
- Did a symposium with Orne since their topics seem
to go hand in hand. - Both focused on social psychology issues.
- Orne focuses on the subjects role
- Rosenthal focuses on the experimenters role.
24Non interactional Effects
- Observer Effects
- Maskelyne and his assistant, Kinnebrook, who just
couldnt get his observations of star movements
right. - As Bessel would later explain, Kinnebrook was
probably not making errors, but there are
individual differences in observation. - Usually the differences are in relation to
observers hypothesis.
25Non Interactional Effects
- Interpreter Effects
- Interpretation of data can be up for debate!
- Accurate interpretation can differ across
interpreters. May be due to tightly held
hypotheses. - Seen as less severe than observer error because
data is public and can be reviewed by others
(meta-analyses).
26Non Interactional Effects
- Intentional Effects
- Fabrication of data in order to get a result.
27Interactional Effects
- More related to demand characteristics because
they affect the subjects response.
28Interactional Effects
- Biosocial Effects
- Sex, age, race can predict results
- Is this due to how different experimenters behave
toward subjects or how the subjects respond to
different experimenters. - Past research shows that male and female
experimenters conduct the same experiment
differently.
29Interactional Effects
- Psychosocial Effects
- Personality can predict results of research
- Anxiety
- Need for approval
- Hostility
- Authoritarianism
- Status
- Warmth
- This may have influence by demand characteristics
What we hope for in an experimenter
30Interactional Effects
- Situational Effects
- More experience conducting experience
- Previous experience with subjects can lead to
different results. - Modeling
- If an experimenter has previous experience with
the materials, their own performance may be the
basis on which they predict subject performance.
31Interactional Effects
- Expectancy Effects
- Most researchers hold an expectation for the
results. - These hypotheses can unintentionally alter
behavior toward their subjects which may lead
their subjects to respond in accordance to those
hypotheses. - Self-fulfilling prophecy AND demand
characteristics
32Expectancy Experiments
- Rats mazes
- Experimenters were told rats were either maze
savvy, or maze dull - Pygmalion Experiment
- Children at an elementary school were
administered a nonverbal test of intelligence
that assessed intellectual blooming potential - Teachers were told that certain children were
more likely to show remarkable gains in
intellectual competence even though this was not
true. - Children who were expected to shows gains, DID!
33Last thoughts
- So we have looked at demand characteristics and
experimenter characteristics to see how they can
affect our research - If all this is true, can we ever expect that our
experiments really mean anything? - It may be important to standardize experimenter
behavior when doing research. - It would be interesting to look at brain
activation like they did with placebo effects. - How might this be different with the physical
sciences? Obviously we dont have to worry as
much about demand characteristics, but what about
experimenter bias and expectations? - To ameliorate-larger population, larger effect
size ( study an effect that can overcome demand
char)