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Instructions for Stage 10 of the Semester
Paper
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Making 2 x 2 (Cross-Tab) Tables with SPSS |
In a prior stage you combined the response categories of each of the variables you
will be using into 2 and only 2 responses for each variable. Here you will make
cross-tab tables using these newly created variables. Make certain that you are
using the new (collapsed/dichotomized) variables for this stage and not the originals.
You already should have these saved in a data set from a previous stage. After opening
the data set in SPSS, follow the instructions below.
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- From the "Analyze" menu, select "Descriptive Statistics" and then "Cross-Tabs."
On the left window, you should see a list of the variables in your dataset.
- Highlight the Independent Variable that you identified in your first hypothesis
from an earlier Stage (remember to highlight the new variable that you previously
created - not the original one).
- Hit the arrow icon to the left of the "Rows" textbox. Your Independent Variable
should now move to the row textbox.
- Repeat by placing your Dependent Variable (again, the recoded variable, not the
original one) in the "Columns" Textbox.
- Next hit the icon "CELLS" and check the box marked "ROW PERCENTAGES."
- Hit "CONTINUE" and then "OK." The Output window should open and a 2 by 2 table should
appear with the results. Ignore the "Case Processing Information." The table should
look something like the tables you handed in for Stage 3.
- Here is an example of output where "Gender" is the IV (in the Rows) and "Belief
in Traditional Gender Roles" is the DV (in the columns). If you look at the results
carefully, you will see that in the example, 65.8% (about 66%) of the females disagreed
with the statement about traditional gender roles while only 63.6% (about 64%) of
the males disagreed. So, we could summarize by saying that in our sample from the
GSS survey, women are more likely to disagree with this statement than are men (but
the difference is small).

- Your table will likely look somewhat different from the one above. It will likely
have the numerical response codes (0 or 1) rather than the labels (e.g., "male"
and "female"). You may wish to experiment with the "value labels" option mentioned
above to make your table more readable.
Additional Tables - Including Your Control Variable for Hypothesis 3
- Repeat the procedure above for the table you will create for your second hypothesis.
- For your third hypothesis that includes a control variable, you need to alter the
procedure slightly.
- From the "Analyze" menu select "Descriptives" -> "Cross-Tabs." Again, place the
IV in the Rows box and the DV in the Columns box.
- Next. place your control variable in the "Layer" box (where it says "Layer 1 of
1"). Again, ask for "Row Percentages." When you run this analysis, the output will
contain two tables (linked together) that are similar to the blank ones you created
for a prior Stage.
- Erase all output other than the tables you have just created. Print the output and
turn it in.
- Remember to save both your output file and the the data file (if you made any alterations
to it) in the manner described during earlier stages.
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