Multiway contingency tables: Monte Carlo resampling probablility values for the chi-squared and likelihood-ration tests

Michael Long; Kenneth Berry; Paul Mielke Jr

doi:10.2466/03.PR0.107.5.501-510

Multiway contingency tables: Monte Carlo resampling probablility values for the chi-squared and likelihood-ration tests

Michael Long, Kenneth Berry, Paul Mielke Jr

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

Monte Carlo resampling methods to obtain probability values for chi-squared and likelihood-ratio test statistics for multiway contingency tables are presented. A resampling algorithm provides random arrangements of cell frequencies in a multiway contingency table, given fixed marginal frequency totals. Probability values are obtained from the proportion of resampled test statistic values equal to or greater than the observed test statistic value.

Original language	English
Pages (from-to)	501-510
Journal	Psychological Reports
Volume	107
Issue number	2
DOIs	https://doi.org/10.2466/03.PR0.107.5.501-510
Publication status	Published - Oct 2010

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10.2466/03.PR0.107.5.501-510

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title = "Multiway contingency tables: Monte Carlo resampling probablility values for the chi-squared and likelihood-ration tests",

abstract = "Monte Carlo resampling methods to obtain probability values for chi-squared and likelihood-ratio test statistics for multiway contingency tables are presented. A resampling algorithm provides random arrangements of cell frequencies in a multiway contingency table, given fixed marginal frequency totals. Probability values are obtained from the proportion of resampled test statistic values equal to or greater than the observed test statistic value.",

author = "Michael Long and Kenneth Berry and \{Mielke Jr\}, Paul",

year = "2010",

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AU - Long, Michael

AU - Berry, Kenneth

AU - Mielke Jr, Paul

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Y1 - 2010/10

N2 - Monte Carlo resampling methods to obtain probability values for chi-squared and likelihood-ratio test statistics for multiway contingency tables are presented. A resampling algorithm provides random arrangements of cell frequencies in a multiway contingency table, given fixed marginal frequency totals. Probability values are obtained from the proportion of resampled test statistic values equal to or greater than the observed test statistic value.

AB - Monte Carlo resampling methods to obtain probability values for chi-squared and likelihood-ratio test statistics for multiway contingency tables are presented. A resampling algorithm provides random arrangements of cell frequencies in a multiway contingency table, given fixed marginal frequency totals. Probability values are obtained from the proportion of resampled test statistic values equal to or greater than the observed test statistic value.

UR - https://www.scopus.com/pages/publications/78649459177

U2 - 10.2466/03.PR0.107.5.501-510

DO - 10.2466/03.PR0.107.5.501-510

M3 - Article

SN - 0033-2941

VL - 107

SP - 501

EP - 510

JO - Psychological Reports

JF - Psychological Reports

IS - 2

ER -

Multiway contingency tables: Monte Carlo resampling probablility values for the chi-squared and likelihood-ration tests

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