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Sources of Demand Characteristics

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Title: Sources of Demand Characteristics


1
Sources of Demand Characteristics
  • Natalie P. Goodwin
  • UAB Medical Psychology
  • Research Methods

2
Artifact 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.

3
What 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.

4
Clever 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.

5
Hawthorne 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.

6
Bringing 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.

7
On the Social Psychology of the Psychological
Experiment With Particular Reference to Demand
Characteristics and their Implications
  • Martin T. Orne

8
The 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.

9
The 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.

10
The 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.

11
The 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.

12
On 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!

13
Orne 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.

14
Orne 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.

15
The 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

16
Ornes 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.

17
Potency
  • 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.

18
So 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.

19
How 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.

20
How 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.

21
How 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.

22
Experimenter and Clinician Effects in Scientific
Inquiry and Clinical Practice
  • Robert Rosenthal

23
Rosenthal
  • 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.

24
Non 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.

25
Non 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).

26
Non Interactional Effects
  • Intentional Effects
  • Fabrication of data in order to get a result.

27
Interactional Effects
  • More related to demand characteristics because
    they affect the subjects response.

28
Interactional 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.

29
Interactional 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
30
Interactional 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.

31
Interactional 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

32
Expectancy 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!

33
Last 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)
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