This paper is from Session 4C: Methods for ordinal data analysis
Full topic list
which comes under Topic 4: Statistics education at the post secondary (tertiary) level

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

An illustration of multilevel models for ordinal response data



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.