Analysing ordered categorical data.

Analysing ordered categorical data from two independent samples.

Medical journals now require point estimates and confidence intervals in addition to p values.' Statistics with Confidence provides advice on calculating confidence intervals for many types of data2 but not for ordered categorical data. Nevertheless, as much as 20% of reported medical research produces data in ordered categories.3 The Apgar score, the Glasgow coma scale, quality of life and sev...

Adaptive Tests for Ordered Categorical Data

Assessing Measurement Equivalence in Ordered-Categorical Data

Assessing measurement equivalence in the framework of the common factor linear models (CFL) is known as factorial invariance. This methodology is used to evaluate the equivalence among the parameters of a measurement model among different groups. However, when dichotomous, Likert, or ordered responses are used, one of the assumptions of the CFL is violated: the continuous nature of the observed...

Analysis of Ordered Categorical Data Using the Sas® System

In this talk we describe a method for combining a measure of association from several 2xC contingency tables. The columns in the 2xC tables are assumed to be ordered and the method uses the weighted least squares methodology of Grizzle, Starmer and Koch (1969). The method uses a transformation of the gamma statistic, a statistic proposed for the analysis of ordered contingency tables by Goodman...

Applying R2-Type Measures to Ordered Categorical Data