Abstract
Latent variable models with observed ordinal variables are particularly useful for analyzing survey data. Typical ordinal variables express attitudinal statements with response alternatives like “strongly disagree”, “disagree”, “strongly agree” or “very dissatisfied”, “dissatisfied”, “satisfied” and “very satisfied”.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Physica-Verlag Heidelberg
About this paper
Cite this paper
Cagnone, S., Mignani, S., Moustaki, I. (2009). Latent variable models for ordinal data. In: Monari, P., Bini, M., Piccolo, D., Salmaso, L. (eds) Statistical Methods for the Evaluation of Educational Services and Quality of Products. Contributions to Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2385-1_2
Download citation
DOI: https://doi.org/10.1007/978-3-7908-2385-1_2
Published:
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-2384-4
Online ISBN: 978-3-7908-2385-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)