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Assignment: Contingency Tables and Odds in Excel
In the prerequisite course, Quantitative Reasoning and Analysis, you
constructed basic contingency (crosstab) tables. You might be surprised
to learn that you can estimate a simple logistic regression model, with a
categorical predictor, using the descriptive values presented in the
crosstab table.
In this assignment, you use Microsoft Excel to construct a specialized
tool that creates basic logistic regression models given a
crosstab/contingency table. As if that were not useful enough, this
Excel tool is not specialized—you can use it given any
crosstab/contingency tables you encounter in research. In the field of
statistical research, this is just about as exciting as you can get!
To prepare
Review the sections in the Osborne text that present a template for constructing an Excel worksheet.
Review the video in the Learning Resources, in which Dr. Matt Jones
explains how to harness the power of Excel using contingency tables.
Think about the types of variables that are useful for crosstab tables.
By Day 7
The Assignment
Using one of the datasets provided, select two variables that allow you
to construct a 2×2 contingency table. Use SPSS to run the initial
crosstab table, using any two variables that you think are appropriate.
Then, use Excel to construct a table in which you report:
Conditional probabilities
Conditional odds
Logits
Odds ratios
Relative risk
Slope
Be sure to apply the template from the Osborne text. Note that page 42
has a completed example that should help you determine these values. Be
sure to use formulas and cell references in Excel so that the
spreadsheet you create can be used as a tool for calculating similar
values for other datasets.
Once you have created the tool, write a 1- to 2-paragraph summary in APA
format interpreting your results. Submit both your Excel file and your
summary to complete this assignment.
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