Thumbnail for Chi-Square - Post-Hoc Testing - SPSS (Part 2)

Chi-Square - Post-Hoc Testing - SPSS (Part 2)

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Chi-Square - Post-Hoc Testing - SPSS (Part 2) shows how to interpret adjusted standardized residuals in SPSS to identify significant cell differences in contingency tables, while warning about inflated Type I error risk from multiple comparisons.

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Best quote from Chi-Square - Post-Hoc Testing - SPSS (Part 2)

An absolute z-score above 1.96 is statistically significant, or it indicates a chance of 0.05.

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