Chi-squared test and interpretation using SPSS (assumptions violated)
A chi-squared test is preferred when correlating two categorical variables, one or both of which are nominal. This video shows how to compute a chi-squared test and how to interpret the output when assumptions have been violated. Please see the other chi-squared test video if assumptions have not been violated.
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Pearson Chi-Square, Continuity Correction, and Fisher's Exact Test in SPSS
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Chi-square test in SPSS + interpretation
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Interpreting the SPSS Output for a Chi Square Analysis
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The Chi-square Statistic and Reporting Results. Part 2 of 2 on Crosstabulations and Chi-square
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Regression Analysis in SPSS (Part 1)
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Crosstab Report and Chi Square Test using SPSS
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Chi Square Test of Independence in SPSS - In Depth
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One-Way Goodness of Fit Chi-Square in SPSS – No Preference (15-5)
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Chi-Square - Post-Hoc Testing - SPSS (Part 2)
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Chi-Square Test of Independence with Cramer's V in SPSS
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SPSS Tutorials: Three-Way Cross-Tab and Chi-Square Statistic for Three Categorical Variables
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Null Hypothesis, p-Value, Statistical Significance, Type 1 Error and Type 2 Error
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Chi-squared test + interpretation in SPSS (assumptions not violated)
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Post Hoc Test after a Chi-Square Test (3 by 3) using SPSS and Excel
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Interpreting Percentages from a Chi-Square Test Crosstabulation Output Table in SPSS
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Chi-Square - Post-Hoc Testing - SPSS (Part 1)
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