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Extraneous Variables
Prepared by:
Orlando A. Pistan, MAEd-GC
Psychology Instructor
Extraneous Variables
One of the goals of a researcher should be to set up
experiments that do not create confusion. When
experimenting, conditions are created to clearly see
the effects of the independent variables.
Experiments should be internally validated. Ideally,
only the dependent variable should change
systematically from one condition to another. Control
of the subject variables may lead to worsening.
Extraneous Variables
There are three types of extraneous variables that
may pose problems in experiments. They are:
1. Physical variables;
2. Response style;
3. Response set;
4. Demand characteristics; and
5. Experimenter bias
Physical Variables
The testing setting, noise, and
other distractions are all physical
aspects of the testing conditions
that need to be controlled.
The techniques for controlling
physical variables are through:
1. Elimination;
2. Constancy;
3. Screening; and
4. Counter balancing
Response Style
A subject with a response
style has a characteristic way
of answering questions.
They usually respond “Yes”
or “No”; and “True” or “False”
to most inquiries.
Response Style
To control this style,
experiments should
formulate questions in such a
way that subjects cannot
answer with a simple yes or
no. Contents of the inquiry
should be built to force the
subject to think about their
responses.
Response Set
Subjects with a response set
respond in terms of latent content or
the meaning behind the questions.
Social desirability is the best-known
response set.
Subjects who have the social
desirability response will lie or distort
the truth in order to look better in the
eyes of the experimenter.
Does being gay or
lesbian goes
against the will of
God?
Response Set
Social desirability can be
avoided to some extent by
phrasing questions in such a
way that alternative answers
have roughly the same social
value.
Does being gay or
lesbian goes
against the will of
God?
What is your
stand toward
being a gay or
lesbian?
Demand Characteristics
The mere fact of being in an
experiment can lead to changes in
subjects’ behavior which have
nothing to do with the experimental
manipulations.
Their expectation of what will happen
to them in the experiment can shape
their responses.
Subjects may want to be “good”
subjects; they may try to provide data
that confirm the hypothesis.
Demand Characteristics
A way of controlling demand
characteristics is to run a blind
experiment in which the
experimenter will tell everything
about the experiment except
what the researcher expect to
find.
This is commonly applicable for
experiments involving nutrition
and drugs.
Experimenter Bias
The last potential source of error
is the experimenter.
They may provide subtle cues that
tell the subjects how they are
expected to behave during the
experiment.
Example: The experimenter
smiles at every time the subject
give the desired and predicted
response.
Experimenter Bias
To control experimenter bias, the
experimenter must not know how
subjects are expected to behave.
This approach enables the
experimenter to measure the
dependent variable more
objectively.
Extraneous Variables
Thank you for
paying attention.

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Extraneous Variables in Experiments

  • 1. Extraneous Variables Prepared by: Orlando A. Pistan, MAEd-GC Psychology Instructor
  • 2. Extraneous Variables One of the goals of a researcher should be to set up experiments that do not create confusion. When experimenting, conditions are created to clearly see the effects of the independent variables. Experiments should be internally validated. Ideally, only the dependent variable should change systematically from one condition to another. Control of the subject variables may lead to worsening.
  • 3. Extraneous Variables There are three types of extraneous variables that may pose problems in experiments. They are: 1. Physical variables; 2. Response style; 3. Response set; 4. Demand characteristics; and 5. Experimenter bias
  • 4. Physical Variables The testing setting, noise, and other distractions are all physical aspects of the testing conditions that need to be controlled. The techniques for controlling physical variables are through: 1. Elimination; 2. Constancy; 3. Screening; and 4. Counter balancing
  • 5. Response Style A subject with a response style has a characteristic way of answering questions. They usually respond “Yes” or “No”; and “True” or “False” to most inquiries.
  • 6. Response Style To control this style, experiments should formulate questions in such a way that subjects cannot answer with a simple yes or no. Contents of the inquiry should be built to force the subject to think about their responses.
  • 7. Response Set Subjects with a response set respond in terms of latent content or the meaning behind the questions. Social desirability is the best-known response set. Subjects who have the social desirability response will lie or distort the truth in order to look better in the eyes of the experimenter. Does being gay or lesbian goes against the will of God?
  • 8. Response Set Social desirability can be avoided to some extent by phrasing questions in such a way that alternative answers have roughly the same social value. Does being gay or lesbian goes against the will of God? What is your stand toward being a gay or lesbian?
  • 9. Demand Characteristics The mere fact of being in an experiment can lead to changes in subjects’ behavior which have nothing to do with the experimental manipulations. Their expectation of what will happen to them in the experiment can shape their responses. Subjects may want to be “good” subjects; they may try to provide data that confirm the hypothesis.
  • 10. Demand Characteristics A way of controlling demand characteristics is to run a blind experiment in which the experimenter will tell everything about the experiment except what the researcher expect to find. This is commonly applicable for experiments involving nutrition and drugs.
  • 11. Experimenter Bias The last potential source of error is the experimenter. They may provide subtle cues that tell the subjects how they are expected to behave during the experiment. Example: The experimenter smiles at every time the subject give the desired and predicted response.
  • 12. Experimenter Bias To control experimenter bias, the experimenter must not know how subjects are expected to behave. This approach enables the experimenter to measure the dependent variable more objectively.
  • 13. Extraneous Variables Thank you for paying attention.