The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Kernel Smoothing Approaches to Nonparametric Item Characteristic Curve Estimation
Abstract
The option characteristic curve, the relation between ability and probability of choosing a particular option for a test item, can be estimated by nonparametric smoothing techniques. What is smoothed is the relation between some function of estimated examinee ability rankings and the binary variable indicating whether or not the option was chosen. This paper explores the use of kernel smoothing, which is particularly well suited to this application. Examples show that, with some help from the fast Fourier transform, estimates can be computed about 500 times as rapidly as when using commonly used parametric approaches such as maximum marginal likelihood estimation using the three-parameter logistic distribution. Simulations suggest that there is no loss of efficiency even when the population curves are three-parameter logistic. The approach lends itself to several interesting extensions.
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Cites
Spline Models for Observational Data
Wahba, G. (1990) · doi:10.1137/1.9781611970128 · Cited by 4,184
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Cited by
Samejima, F. (1997) · Handbook of Modern Item Response Theory · doi:10.1007/978-1-4757-2691-6_5 · Cited by 934
Peters, L., Sunderland, M., Andrews, G., Rapee, R. M., & Mattick, R. P. (2012) · Psychological Assessment · doi:10.1037/a0024544 · Cited by 379
A direct test of the diathesis-stress model for depression
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Colodro-Conde, L., Couvy-Duchesne, B., Zhu, G., Coventry, W. L., Byrne, E. M., Gordon, S., Wright, M. J., Montgomery, G. W., Madden, P. A. F., et al. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.130 · Cited by 285
The Quebec Back Pain Disability Scale: Conceptualization and development
Kopec, J. A., Esdaile, J. M., Abrahamowicz, M., Abenhaim, L., Wood-Dauphinee, S., Lamping, D. L., & Williams, J. I. (1996) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(96)00526-4 · Cited by 242
The SIETTE Automatic Assessment Environment
Conejo, R., Guzmán, E., & Trella, M. (2016) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-015-0078-4 · Cited by 34
Metadata
- Authors
- Ramsay, J. O.
- Venue
- Psychometrika
- Publisher
- Cambridge University Press (CUP)
- Published
- 1991-12
- Volume
- 56
- Issue
- 4
- Pages
- 611-630
- ISSN
- 0033-3123 (ISSN-L)
- 1860-0980
- OpenAlex
- W1979603005
- Cited by
- 345
- References
- 3
- FWCI
- 4.57
- Type
- journal article
- Language
- en
- Open access
- closed
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