Chi-squared test

The test statistic of chi-squared test: χ2=∑(0-E)2E~χ2 with degrees of freedom (r - 1)(c - 1), Where O and E represent observed and expected frequency, and r and c is the number of rows and columns of the contingency table.

The second step is obtaining (O - E)²/E for each cell and summing up the values over each cell. The final summed value follows chi-squared distribution. For the ‘male and A’ cell in example 3, (O - E)²/E = (30 - 50)²/50 = 8. Chi-squared statistic calculated=∑(0-E)2E=8+8+8+8=32 in example 3. For examples 1 and 2, the chi-squared statistics equal zero. A big difference between observed value and expected value or a large chi-squared statistic implies that the assumption of independency applied in calculation of expected value is irrelevant to the observed data that is being tested. The degrees of freedom is one as the data has two rows and two columns: (r - 1) * (c - 1) = (2 - 1) * (2 - 1) = 1.

As the significant test does not tell us the degree of effect, displaying effect size is helpful to show the magnitude of effect. There are three different measures of effect size for chi-squared test, Phi (φ), Cramer's V (V), and odds ratio (OR). Among them φ and OR can be used as the effect size only in 2 × 2 contingency tables, but not for bigger tables.

φ=χ2n

V=χ2n·df, where n is total number of observation, and df is degrees of freedom calculated by (r - 1) * (c - 1). Here, r and c are the numbers of rows and columns of the contingency table.

In example 3, we can calculate them as φ=χ2n=32200=0.4, V=χ2n·df=32200·1=0.4, and OR=70·7030·30=5.44. Referring to Table 2, the effect size V = 0.4 is interpreted medium to large. If number of rows and/or columns are larger than 2, only Cramer's V is available.

Fisher's exact test

REFERENCES

• 1. Bewick V, Cheek L, Ball J. Statistics review 8: qualitative data - tests of association. Crit Care 2004;8:46-53.ArticlePubMed
• 2. Cohen J. Statistical power and analysis for the behavioral sciences. 2nd ed. Hisdale, NJ: Lawrence Erlbaum Associates; 1988. p. 79-80.

Tables & Figures

REFERENCES

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