A method is proposed for the detection of item bias with respect to observed or unobserved subgroups. The method uses quasi-loglinear models for the incomplete subgroup x test score x Item 1 × • • • x item k contingency table. If subgroup membership is unknown the models are Haberman's incomplete-latent-class models. The (conditional) Rasch model is formulated as a quasi-loglinear model. The pa...

For the analysis of square contingency tables, Tomizawa, Miyamoto and Ashihara (2003) considered a measure to represent the degree of departure from marginal homogeneity. The measure lies between 0 and 1, and it takes the minimum value when the marginal homogeneity holds and the maximum value when one of two symmetric cumulat ive probabilities for any category is zero. Th is paper proposes impr...

Much work has been done on the statistical analysis of text. In some cases reported in the literature, inappropriate statistical methods have been used, and statistical significance of results have not been addressed. In particular, asymptotic normality assumptions have often been used unjustifiably, leading to flawed results. This assumption of normal distribution limits the ability to analyze...

Let s, t,m, n be positive integers such that sm = tn. Let M(m, s;n, t) be the number of m × n matrices over {0, 1, 2, . . . } with each row summing to s and each column summing to t. Equivalently, M(m, s;n, t) counts 2-way contingency tables of order m× n such that the row marginal sums are all s and the column marginal sums are all t. A third equivalent description is that M(m, s;n, t) is the ...

User interfaces as well as documents use tabular layout mechanisms. The HTML table construct and the GridBag layout in Java are typical examples. There are, however, shortcomings of these mechanisms that become obvious with more advanced content like semi-structured data or object-oriented models. We present a generalized table construct that solves these shortcomings and generalizes tabular la...

common and potentially deleterious rare variation in this pathway would be associated with severe asthma based on SARP cluster designation. Methods: To evaluate common variants (minor allele frequency or MAF .5%), 419 SARP non-Hispanic white participants with a cluster assignment were genotyped for 182 single nucleotide polymorphisms (SNPs) in Th2 pathway genes using whole-genome SNP data. Indi...

common and potentially deleterious rare variation in this pathway would be associated with severe asthma based on SARP cluster designation. Methods: To evaluate common variants (minor allele frequency or MAF .5%), 419 SARP non-Hispanic white participants with a cluster assignment were genotyped for 182 single nucleotide polymorphisms (SNPs) in Th2 pathway genes using whole-genome SNP data. Indi...

Generalized latent variable models (GLVMs) are a useful tool to explain the interrelationships among a set of observed variables through a smaller set of latent variables. In this paper we deal with the problem of goodness of fit of GLVMs when the observed variables are ordinal. Usually, goodness of fit tests are performed by means of the Pearson and the likelihood ratio statistics, which have ...