Tests Report

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Basic Analysis • Contingency Analysis • Statistical Details for the Contingency Platform • Tests Report

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Rsquare (U) is computed as follows:

The total negative log-likelihood is found by fitting fixed response rates across the total sample.

The two Chi-square tests are as follows:

The Likelihood Ratio Chi-square test statistic is computed as twice the negative log-likelihood for Model in the Tests table. Some books use the notation G2 for this statistic. The difference of two negative log-likelihoods, one with whole-population response probabilities and one with each-population response rates, is written as follows:

This formula can be more compactly written as follows:

The Pearson Chi-square test statistic is calculated by summing the squares of the differences between the observed and expected cell counts. The Pearson Chi-square test exploits the property that frequency counts tend to a normal distribution in very large samples. The familiar form of this Chi-square statistic is as follows:

where O is the observed cell counts and E is the expected cell counts. The summation is over all cells. There is no continuity correction done here, as is sometimes done in 2-by-2 tables.

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Help created on 7/12/2018