Mood's likelihood ratio test is generally considered an unreliable x 2 approximation in 2 × 2 contingency tables containing expected cell frequencies less than five. Probability values were computed for 60 such tables as part of an item analysis for two 30-item alternate forms of a measure. The rank orders of the items, from best to worst differentiators, as determined separately by Mood's test and by Fisher's exact test correlated .97 for one form and .96 for the other.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45704/1/11336_2005_Article_BF02289818.pd
Thomas. The performance of three approximate confidence limit methods for the odds ratio. Am J Epide...
<div><p>To many, the foundations of statistical inference are cryptic and irrelevant to routine stat...
Omnibus tests of significance in contingency tables use statistics of the chi-square type. When the ...
Models of contingency tables are based on the counts by category. In a two-way table, models can dep...
Sample size calculations are an important part of research to balance the use of resources and to av...
When testing the null hypothesis of independence in a two-way contingency table, the likelihood rati...
The traditional likelihood ratio test statistic for testing hypothesis about goodness of fit of mult...
Hypothesis testing in contingency tables is usually based on asymptotic results, thereby restricting...
There have been intensive studies of the problem of whether the proportions into which any set is do...
Sample size calculations are an important part of research to balance the use of resources and to av...
This paper describes the historical development of analytic techniques for frequency data presented ...
<div><p>Sample size calculations are an important part of research to balance the use of resources a...
Rice (1988a) presents an interesting test for analyzing 2 X 2 contingency tables in the smaller samp...
The testing for an association between two categorical variables using count data is commonplace in ...
The use of the likelihood ratio statistic in testing the goodness of fit of the exploratory factor m...
Thomas. The performance of three approximate confidence limit methods for the odds ratio. Am J Epide...
<div><p>To many, the foundations of statistical inference are cryptic and irrelevant to routine stat...
Omnibus tests of significance in contingency tables use statistics of the chi-square type. When the ...
Models of contingency tables are based on the counts by category. In a two-way table, models can dep...
Sample size calculations are an important part of research to balance the use of resources and to av...
When testing the null hypothesis of independence in a two-way contingency table, the likelihood rati...
The traditional likelihood ratio test statistic for testing hypothesis about goodness of fit of mult...
Hypothesis testing in contingency tables is usually based on asymptotic results, thereby restricting...
There have been intensive studies of the problem of whether the proportions into which any set is do...
Sample size calculations are an important part of research to balance the use of resources and to av...
This paper describes the historical development of analytic techniques for frequency data presented ...
<div><p>Sample size calculations are an important part of research to balance the use of resources a...
Rice (1988a) presents an interesting test for analyzing 2 X 2 contingency tables in the smaller samp...
The testing for an association between two categorical variables using count data is commonplace in ...
The use of the likelihood ratio statistic in testing the goodness of fit of the exploratory factor m...
Thomas. The performance of three approximate confidence limit methods for the odds ratio. Am J Epide...
<div><p>To many, the foundations of statistical inference are cryptic and irrelevant to routine stat...
Omnibus tests of significance in contingency tables use statistics of the chi-square type. When the ...