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McNemar's Test

McNemar's Test

McNemar's Test is a nonparametric statistical test used to determine if there is a significant difference in proportions between two related groups when the outcome is binary (e.g., yes/no, success/failure). It is beneficial when we have paired data, such as pre-test/post-test designs, where the same subjects are measured under two different conditions. The test is named after the statistician Quinn McNemar, who introduced it in 1947. It is commonly used in situations where subjects are...

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Joint scaling tests.

J G Gale, K Mather, J L Jinks

|February 1, 1977

Summary

This summary is machine-generated.

Tan's joint scaling test is similar to the Cavalli joint scaling test, offering comparable results with practical sample sizes. The Cavalli method is more versatile for genetic analysis and extensions.

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Area of Science:

Quantitative genetics
Biometrical genetics

Background:

Tan's joint scaling test (1974) is a method for analyzing genetic data.
The Cavalli joint scaling test (Mather and Jinks, 1971) is a widely used standard in biometrical genetics.
Tan's paper did not reference the established Cavalli test.

Purpose of the Study:

To compare Tan's joint scaling test with the standard Cavalli joint scaling test.
To evaluate the practical utility and comparability of the two methods.

Main Methods:

Comparative analysis of two joint scaling tests.
Evaluation of test results using typical numbers of individuals per generation.

Main Results:

Tan's joint scaling test is closely related to the Cavalli joint scaling test.
Both tests yield essentially similar results with practically observed sample sizes.
The Cavalli procedure offers estimates of genetical parameters.

Conclusions:

Tan's test is a viable alternative but lacks the broader applicability of the Cavalli test.
The Cavalli procedure is more adaptable for extended genetic analyses and diverse research scenarios.
Researchers should consider the Cavalli test for its comprehensive parameter estimation and flexibility.