Abstract
von Davier, Holland and Thayer (2004b, pp. 45–47) described a five-step, test-equating framework: (a) presmoothing, (b) estimating score probabilities, (c) continuization, (d) equating, and (e) calculating the standard error of equating. In this framework, the presmoothing step is usually done with log-linear smoothing. Step 2 is to transform smoothed distribution into two marginal distributions for the target population (sometimes called synthetic population). In their framework, Step 3 is done with an adjusted Gaussian kernel procedure.
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
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Wang, T. (2009). An Alternative Continuization Method: The Continuized Log-Linear Method. In: von Davier, A. (eds) Statistical Models for Test Equating, Scaling, and Linking. Statistics for Social and Behavioral Sciences. Springer, New York, NY. https://doi.org/10.1007/978-0-387-98138-3_9
Download citation
DOI: https://doi.org/10.1007/978-0-387-98138-3_9
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98137-6
Online ISBN: 978-0-387-98138-3
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)