This paper is from Session 4C: Methods for ordinal data analysis

which comes under Topic 4: Statistics education at the post secondary (tertiary) level

Other papers under session 4C ... 4C1: Teaching: a way of implementing novel statistical methods for ordinal... 4C2: Fitting transition models to longitudinal ordinal response data using...

(Friday 16th, 11:00-12:30)

An illustration of multilevel models for ordinal response data

Presenter

• Ann A O’Connell (Ohio State University, United States)

Abstract

Variables measured on an ordinal scale may be meaningful and simple to interpret, but their statistical treatment as response variables can create challenges for applied researchers. When research data are obtained through natural hierarchies, such as from children nested within schools or classrooms, clients nested within health clinics, or residents nested within communities, the complexity of studies examining ordinal outcomes increases. The purpose of this paper is to present an application of multilevel ordinal models for the prediction of proficiency data. Implications for teaching and learning of multilevel ordinal analyses are discussed.

Other papers under session 4C ... 4C1: Teaching: a way of implementing novel statistical methods for ordinal... 4C2: Fitting transition models to longitudinal ordinal response data using...