The Psychology of Gender 4th Edition

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Methods and History of Gender Research 35

sex astimulusortarget variable, meaning it
is the characteristic of something to which
people respond. Let’s take the research ques-
tion “Do we smile more at male or female
infants?” One way to answer that question
is to compare how often adults smile at male
and female infants. However, this would be
a correlational study; we would be correlat-
ing infant sex with smiling, and sex would
be a subject variable. We would not know if
infant sex caused the smiling or something
else about the infant caused the smiling; for
example, infant girls are more likely to wear
pink and perhaps pink causes smiling. A bet-
ter way to address this research question is by
conducting an experimental study in which
infant sex is a target variable. We could show
people pictures of the same child dressed in
gender neutral clothes and randomly tell one
group the infant is Sam and the other group
the infant is Samantha. Then we can look to
see if people smile more at infants they per-
ceive to be female compared to those they
perceive to be male. When sex is a target vari-
able, random assignment can take place and a
true experiment can be conducted.
There are advantages and disadvantages
of both correlational and experimental meth-
ods. The major ones are identified in Table 2.2.
The advantage of the experimental
method is that cause and effect can be de-
termined because all other variables in the
experiment are held constant except for the
independent variable (the cause). Thus, any
differences in the dependent variable (the ef-
fect) can be attributed to the independent

students who sit on the right side have a view
of the wall, so they might as well look at me.
Imagine you had asked participants to decide
whether they wanted to play with the puppy
or teach it tricks. If you let people choose their
condition, the people in the two conditions
would be different; nurturant people are likely
to choose to play with the puppy. Differences
in nurturant behavior between the two condi-
tions would be due to a selection bias because
people selected their own groups and were
not randomly assigned to condition.
In a true experiment, one must be able
to manipulate the independent variable to
study its effects. Notice that some of the inde-
pendent variables in Table 2.1 are changeable
and some are not; that is, one can manipulate
employment, testosterone, and status to study
their effects. Other independent variables are
not changeable, such as sex, race, and ethnic-
ity. When sex is a characteristic of a person, as
in the research question “Are men or women
smarter?” sex is referred to as asubject vari-
able. Studies in which sex is a subject variable
are not true experiments because someone
cannot be randomly assigned to be female or
male. The majority of research that compares
men and women—evaluating similarities
and differences between men’s and women’s
behavior—is not experimental for this rea-
son. We observe in the laboratory or in the
real world how women and men think, feel,
and behave. This research is correlational
because we cannot manipulate a person’s sex.
Is there any way we can use an experi-
ment to make sex comparisons? We can make

TABLE 2.2 EXPERIMENTALMETHODVERSUSCORRELATIONALMETHOD

Experimental Correlational
Strength Internal validity External validity
Weakness External validity Internal validity

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