Problems with Bootstrapping Pearson Correlations in Very Small Bivariate Samples.

Dolker, Michael; And Others

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Peer reviewed

ERIC Number: EJ284857

Record Type: CIJE

Publication Date: 1982-Dec

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Problems with Bootstrapping Pearson Correlations in Very Small Bivariate Samples.

Dolker, Michael; And Others

Psychometrika, v47 n4 p529-30 Dec 1982

Efron's Monte Carlo bootstrap algorithm is shown to cause degeneracies in Pearson's r for sufficiently small samples. Two ways of preventing this problem when programing the bootstrap of r are considered. (Author)

Descriptors: Algorithms, Computer Programs, Correlation, Sampling

Publication Type: Journal Articles; Reports - Descriptive

Education Level: N/A

Audience: N/A

Language: English

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