1 - 5 of 5 articles
In this paper, we use decomposable graphical models to describe the mechanisms of nonresponse in contingency tables classified by two binary variables, and we discuss identification of parameters in these models. For an unidentifiable model, we introduce covariates which are always observed such...
Missing data arise in virtually all practical data analysis situations. The problem of how to deal with them presents a major challenge to many data analysts. A variety of methods have been proposed to deal with missing data. In this paper we discuss two such proposals for principal component...
In this study, after defining the equating coefficients of the continuous response model (CRM, Samejima, 1973, 1974), we proposed three procedures of linking tests under the CRM in the context of both common examinees and items designs. One was for the common examinees design, and the other two...
For the analysis of square contingency tables with nominal categories, Tomizawa (1995a) and Tomizawa and Makii (2001a) considered the measures to represent the de gree of departure from the marginal homogeneity (MH). This paper proposes a measure to represent the degree of departure from MH for...
A statistical model is proposed for a multi-dimensional agreement matrix tabulating nominal variables and judgments of two raters in order to analyze the structure of agreement. The model is derived from the notion of the measurement error model in test theory, and it is expressed as a tree with...
Read and print from thousands of top scholarly journals.
Continue with Facebook
Log in with Microsoft
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Sign Up Log In
To subscribe to email alerts, please log in first, or sign up for a DeepDyve account if you don’t already have one.
To get new article updates from a journal on your personalized homepage, please log in first, or sign up for a DeepDyve account if you don’t already have one.