cross tabulation

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Last updated 1:21 AM on 4/29/26
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11 Terms

1
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What is cross tabulation used for?

A method to analyze the relationship between two categorical variables by comparing group percentages.

2
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Chi-Square

  • Tests if relationship exists

  • p < 0.05 = significant

3
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Cramer’s V

  • Measures strength

  • 0.1 weak / 0.3 moderate / 0.5 strong

4
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What is the independent vs dependent variable in cross tabs?

  • Independent = cause (grouping variable)

  • Dependent = outcome being compared

5
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When do you use row vs column percentages?

  • Row % → if independent variable is in rows

  • Column % → if independent variable is in columns

  • ALWAYS follow the cause (INDEPENDENT) direction

6
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How do you interpret a cross tab?

Compare dependent variable across groups of the independent variable

Example:
“Doctor group vs no doctor group → compare usage rates”

7
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Why are column percentages often misleading?

They describe the outcome group (e.g., “among buyers…”)
→ They do NOT start from the cause
→ Cannot support causal interpretation

8
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What does the chi-square test do?

Tests whether two categorical variables are independent or related

  • p < 0.05 → significant relationship

  • p > 0.05 → no relationship

9
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What are marginal totals?

Totals for each variable separately (ignore relationship) / total number of cases in a category, ignoring any relationship between variables.

10
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When do you use each? regression vs. cross tab

  • Cross tab → categorical variables

  • Regression → numerical variables + prediction

11
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What does a regression coefficient mean?

tells you how much the outcome (Y) changes when the predictor (X) goes up by 1 unit.