Abstract
In the previous chapter, a set of steps and techniques were introduced for conducting goodness-of-fit investigations. The purpose of this chapter is to highlight the applications of several of those techniques to the analysis of real data. Specifically, the results of fitting the one- and three-parameter logistic models to four mathematics tests in the 1977–78 National Assessment of Educational Progress will be described. This chapter is intended to serve as a case-study for how a researcher might approach the problem of assessing model-data fit.
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.
Notes
he most recent references to LOGIST are given, but the 1976 version of the computer program was used in our analysis.
Correlations were transformed via Fisher’s Z-transformation prior to calculating the descriptive statistics. The mean is reported on the correlation scale. The standard deviation is reported on the Z r scale.
Some of the material in this section is from a paper by Hambleton and Murray (1983).
The close fit between the three-parameter model and several data sets reported in section 9.6 suggest that this explanation is highly plausible.
Rights and permissions
Copyright information
© 1985 Springer Science+Business Media New York
About this chapter
Cite this chapter
Hambleton, R.K., Swaminathan, H. (1985). Examples of Model-Data Fit Studies. In: Item Response Theory. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1988-9_9
Download citation
DOI: https://doi.org/10.1007/978-94-017-1988-9_9
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5809-6
Online ISBN: 978-94-017-1988-9
eBook Packages: Springer Book Archive