THESISDISSERTATIONWS Telegram 972
3. Nominal Data Measures (For Categorical Variables)

- Purpose: Assesses association between nominal (unordered) categories.

- Key Statistics:
- Contingency Coefficient: Adjusts chi-square for table size (range: 0 to <1).
- Phi & Cramer’s V:
- Phi: For 2×2 tables (range: 0–1).
- Cramer’s V: For larger tables (range: 0–1; values >0.3 often indicate meaningful association).
- Lambda: Predicts one variable based on another (asymmetric/symmetric versions).
- Uncertainty Coefficient: Measures reduction in uncertainty when predicting one variable using another.



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3. Nominal Data Measures (For Categorical Variables)

- Purpose: Assesses association between nominal (unordered) categories.

- Key Statistics:
- Contingency Coefficient: Adjusts chi-square for table size (range: 0 to <1).
- Phi & Cramer’s V:
- Phi: For 2×2 tables (range: 0–1).
- Cramer’s V: For larger tables (range: 0–1; values >0.3 often indicate meaningful association).
- Lambda: Predicts one variable based on another (asymmetric/symmetric versions).
- Uncertainty Coefficient: Measures reduction in uncertainty when predicting one variable using another.

BY Research Methods in AL


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