Journal
APPLIED PSYCHOLOGICAL MEASUREMENT
Volume 25, Issue 4, Pages 373-383Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/01466210122032235
Keywords
asymptotic standard errors; common items; equating; item response theory; linking; weighted least squares
Ask authors/readers for more resources
Three types of least squares estimation (generalized, unweighted, and weighted) for item response theory linking coefficients are discussed. Unweighted least squares estimation gives somewhat large asymptotic standard errors. Although generalized least squares has the smallest asymptotic standard errors, it frequently gives biased estimates. Thus, weighted least squares estimation is the preferred method. In weighted least squares estimation, the ordinary weights are replaced with their powers. Results from a monte carlo simulation study showed that the weighted least squares method generally reduced bias without increasing the asymptotic standard errors, in comparison to other least squares methods.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available