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Analysis and Interpretation: Multiple Variables Simultaneously

Analysis and Interpretation: Multiple Variables Simultaneously. Chapter 13. Univariate v. Multivariate. Cross-Tabulation. Shows relationships between two or more variables Pearson chi-square test Nominal level. Cross-Tabulation. Independent Samples T-Test for Means.

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Analysis and Interpretation: Multiple Variables Simultaneously

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  1. Analysis and Interpretation: Multiple Variables Simultaneously Chapter 13

  2. Univariate v. Multivariate

  3. Cross-Tabulation • Shows relationships between two or more variables • Pearson chi-square test • Nominal level

  4. Cross-Tabulation

  5. Independent Samples T-Test for Means • Determine whether two groups differ on some characteristic • Examples: Genders, Yes/No

  6. Independent Samples T-Test for Means

  7. Pearson Correlation Coefficient • Degree of association between continuous variables • -1------------------0------------------1 • Does NOT mean causation

  8. Pearson Correlation Coefficient

  9. Regression Analysis • Relationship between one or more predictor variable and an outcome variable • Coefficient of multiple determination • R2

  10. Regression Analysis

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