A Family of Discrete Kernels for Presmoothing Test Score Distributions

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dc.catalogadorgrr
dc.contributor.authorGonzález Burgos, Jorge Andrés
dc.contributor.authorWiberg, Marie
dc.date.accessioned2025-04-24T22:14:49Z
dc.date.available2025-04-24T22:14:49Z
dc.date.issued2024
dc.description.abstractIn the fields of educational measurement and testing, score distributions are often estimated by the sample relative frequency distribution. As many score distributions are discrete and may have irregularities, it has been common practice to use presmoothing techniques to correct for such irregularities of the score distributions. A common way to conduct presmoothing has been to use log-linear models. In this chapter, we introduce a novel class of discrete kernels that can effectively estimate the probability mass function of scores, providing a presmoothing solution. The chapter includes an empirical illustration demonstrating that the proposed discrete kernel estimates perform as well as or better than the existing methods like log-linear models in presmoothing score distributions. The practical implications of this finding are discussed, highlighting the potential benefits of using discrete kernels in educational measurement contexts. Additionally, the chapter identifies several areas for further research, indicating opportunities for advancing the field’s methodology and practices.
dc.description.funderFONDECYT
dc.description.funderWallenberg MMW
dc.format.extent12 páginas
dc.fuente.origenSCOPUS
dc.identifier.doi10.1007/978-3-031-55548-0_1
dc.identifier.issn2194-1017
dc.identifier.scopusidSCOPUS_ID:85199519263
dc.identifier.urihttps://doi.org/10.1007/978-3-031-55548-0_1
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/103456
dc.identifier.wosidWOS:001290462200001
dc.information.autorucEscuela de Psicología; González Burgos, Jorge Andrés; 0000-0003-0415-3795; 15102
dc.language.isoen
dc.nota.accesocontenido parcial
dc.publisherSpringer
dc.relation.ispartof88th Annual Meeting of the Psychometric-Society (IMPS)
dc.revistaQuantitative Psychology, IMPS 2023
dc.rightsacceso restringido
dc.subjectDiscrete kernels
dc.subjectIrregularities
dc.subjectPresmoothing
dc.subjectScore distributions
dc.subject.ddc150
dc.titleA Family of Discrete Kernels for Presmoothing Test Score Distributions
dc.typecomunicación de congreso
dc.volumen452
sipa.codpersvinculados15102
sipa.trazabilidadSCOPUS;2024-08-25
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