Abstract
An active area in psychometric research has been developing models that address strategies by which examinees respond to tasks. One purpose of this chapter is to describe some of these models and the relationships among them. The other is to lay out a framework for discussing topics of this sort, foregrounding the interplay between the technical affordances of the probability-based psychometric models and the substantive arguments they are meant to support.
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.
Similar content being viewed by others
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer Science + Business Media, LLC
About this chapter
Cite this chapter
Mislevy, R., Huang, CW. (2007). Measurement Models as Narrative Structures. In: Multivariate and Mixture Distribution Rasch Models. Statistics for Social and Behavioral Sciences. Springer, New York, NY. https://doi.org/10.1007/978-0-387-49839-3_2
Download citation
DOI: https://doi.org/10.1007/978-0-387-49839-3_2
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-32916-1
Online ISBN: 978-0-387-49839-3
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)