Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

CiteULike is a free service for managing and discovering scholarly references - click here to get started.

Sign In to gain access to subscriptions and/or personal tools.
Statistical Modelling
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Grilli, L.
Right arrow Articles by Rampichini, C.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Specification issues in stratified variance component ordinal response models

Leonardo Grilli

Department of Statistics ‘G. Parenti’, University of Florence, Italy, grilli{at}ds.unifi.it

Carla Rampichini

Department of Statistics ‘G. Parenti’, University of Florence, Italy

The paper presents some criteria for the specification of ordinal variance component models when the units are grouped in a limited number of strata. The base model is specified using a latent variable approach, allowing the first level variance, the second level variance, and the thresholds to vary according to the strata. However this model is not identifiable. The paper discusses some alternative assumptions that overcome the identification problem and illustrates a general strategy for model selection. The proposed methodology is applied to the analysis of course programme evaluations based on student ratings, referring to three different schools of the University of Florence. The adopted model takes into account both the ordinal scale of the ratings and the hierarchical nature of the phenomenon. In this framework, the specification of the latent variable distributions is crucial, since a different first level variance among the schools would substantially change the interpretation of model parameters, as confirmed by the limited simulation study presented in the paper.

Key Words: ordinal response models • variance component models • varying thresholds • course programme evaluation

Statistical Modelling, Vol. 2, No. 3, 251-264 (2002)
DOI: 10.1191/1471082x02st041oa


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?