Mac ChiSquare Analysis 2.1 review
DownloadMac ChiSquare Analysis calculates chisquare statistic as well as phi, contingency, and kappa coefficients from up to a 10 x 10 table.


Mac ChiSquare Analysis calculates chisquare statistic as well as phi, contingency, and kappa coefficients from up to a 10 x 10 table.
The chisquare test is used to compare the distributions of two independent samples. It is used with data in the form of frequencies. It is a nonparametric procedure that makes no assumptions about distribution shapes, variances, or levels of measurement (Diekhoff, 1996).
The chisquare test evaluates the correspondence between the expected and the observed number of cases in each of the cells of the variable by variable contingency table (Thompson, 1988). It is a test of whether or not a null hypothesis of no association should be rejected between the two independent variables.
If the chisquare test shows that there is a relationship between the two variables, then the contingency coefficient gives an indication of the degree of the relationship. (Bruning & Kintz, 1997). The contingency coefficient is similar in meaning to the correlation coefficient.
Cramer's phi coefficient is a measure of association that is also similar to a correlation coefficient. It can assume a value between 0 and +1. See Sheskin (2) for further detail.
Kappa is calculated when the rows and columns are symmetrical. Kappa is often used to examine interobserver agreement and reflects the amount of agreement beyond chance (Norman & Streiner, 2).
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