Reading:
- Babbie, Chapter Two,
pages 45 to 61 (42 to 59 in
the Third Edition) We will not cover the section on
"some
social science paradigms," which is more relevant for sociology than
criminal justice majors. You may find this section useful for the
Social Theory class.
- Ted and Benjamin Goertzel, "Capital Punishment and Homicide
Rates: Sociological Realities and Econometric Distortions"
In Sakai/Resources/Week Seven CapitalPunishmentHomicide.pdf
- Theory and Research
Powerpoint. Both narrated and silent versions are
available in SAKAI. The narrated version is recommended, but the
file size is large. There is also a version
on Google Documents that may be more convenient for printing.
- Capital Punishment and
Homicide Rates Powerpoint. Both silent and narrated
versions are available. The narrated version is
recommended. There is also a version
on Google Documents that may be more convenient for printing.
Hypothesis Testing Assignment:
- Formulate a hypothesis including an independent and a
dependent variable (other than the abortion on demand variable used in
the example).
- Operationalize your assignment by finding variables
somewhere in the Microcase data sets that came with the book [or in the
professional microcase available in the computer center] that measure
them. You need variables suitable for cross-tabulation, which
means they should have only two to four or five values. The best
files for this are the GSS and the NES. If you use the USA, most
of the variables won't work with CROSSTABS because they are continuous.
- State your hypothesis about the relationship between the two
variables, and give some explanation of why you believe it is
true. Please do this before looking at the data.
- Do a crosstabulation [use the CROSSTABS procedure] of your
two variables, with the
independent variable in the column and the dependent variable in the
row. The independent variable is your "cause", the dependent
variable your "effect". If you have done this correctly, you will
want to select "column percent" for your percents.
- Click on "Statistics: summary" to get the chisquare
statistics and probability. If the Prob. = is smaller than .05,
you will have found a statistically significant difference.
- Type the dataset used, variable names, and variable
descriptions as in the example provided.
- Type your hypothesis as in the example provided.
- Type a properly labeled and formatted cross-tabulation table
as in the example provided.
- Type a brief paragraph stating whether or not your
hypothesis was confirmed. Quote one or two of the percentages
correctly in the paragraph and describe the difference you found.
A relationship may be very weak and not of much importance even though
it is "statistically significant". Note: it is perfectly
fine if
your hypothesis turns out to be wrong! Just say you "failed to
reject the null hypothesis". What we want is for you to formulate
a paragraph, test is correctly, and correctly state your results.
- Please study the EXAMPLE BELOW before starting
work. Put only the percentages in the table itself, with the
frequencies on the independent variable in parentheses below.
Type your results in Word or another word processor, save
the fine in doc or rtf format, and submit it to the Dropbox on SAKAI by
the deadline.
Gender
and Beliefs about
Abortion:
Testing
a Hypothesis
By
Fulano de Tal
Hypothesis:
My
hypothesis is that women will be more likely to support abortion rights
than
men. I believe this to be true since
women are the ones who get pregnant and may have need of an abortion.
Data Set:
To test
this hypothesis I used the General Social Survey data set provided with
our
textbook, including items from 1974, 1986 and 1998.
Independent Variable:
My independent variable is 17) SEX.
The attributes are 1. Male 2.
Female
Dependent Variable:
My dependent variable is 66) ABORT ANY.
The description is: LEGAL
ABORTION: If the woman wants it for any
reason? The attributes are 1) yes 2) no
Gender and Support
for Abortion on Demand
Male
Female Total
“A woman should be
Yes
41.8%
40.3%
40.9%
allowed to have an
abortion if she wants
No 58.2% 59.7% 59.1%
it for any reason.”
Total 100%
100%
100%
N
=
(742)
(1036) (1778)
Chisquare
= .366
Probability = .545
Results: The
hypothesis was not supported. 41.8% of
the men and 40.3% of the women agreed with abortion on demand. This difference is very small and could be
attributed to random chance. The
chisquare test showed that the probability of this difference occurring
by
chance was .545. Since this is much
greater
than .05, I have failed to reject the null hypothesis that there is no
relationship between gender and opinion on abortion on demand.