MCNEMAR Meaning and
Definition
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McNemar is a statistical test that is used to examine the difference in proportions or frequencies between two related samples or datasets. It is a non-parametric test commonly applied in the field of analysis of categorical data.
The McNemar test is particularly useful when comparing paired data or when it is not possible to meet the assumptions required for parametric tests, such as the independence of observations. This test is named after the American statistician Quinn McNemar, who developed it in 1947.
In the McNemar test, a contingency table is constructed with the counts of the outcomes of interest for each of the two related samples. The test statistic is based on the discordant and concordant pairs between the two samples. Discordant pairs represent the cases where the two samples have different outcomes, while concordant pairs represent cases where the outcomes are the same. The test assesses whether there is a significant difference between the discordant and concordant pairs.
The test statistic follows a chi-squared distribution with one degree of freedom. By comparing the calculated test statistic with the critical value from the chi-squared distribution, p-values can be determined to indicate the level of statistical significance. If the p-value is below a predetermined threshold (often 0.05), it suggests evidence of a significant difference in proportions between the two samples.
The McNemar test is commonly employed in various fields such as medicine, psychology, and social sciences for assessing changes or differences in categorical variables within a paired sample design.
Similar spelling words for MCNEMAR
