Analysing ordered categorical data from two independent samples.

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...

Bayesian Analysis of Ordered Categorical Data from Industrial Experiments

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...

Two Independent Samples

One of the most commonly used statistical techniques is the comparison of two independent samples of measurement data. More specifically, the comparison of the means of two independent samples. This is often the basis for making a decision to go with a particular method, process or supplier. The validity of the procedure hinges on the random selection of items for each sample. The correctness o...