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Lim, Euijin; Lee, Won-Chan – Applied Measurement in Education, 2020
The purpose of this study is to address the necessity of subscore equating and to evaluate the performance of various equating methods for subtests. Assuming the random groups design and number-correct scoring, this paper analyzed real data and simulated data with four study factors including test dimensionality, subtest length, form difference in…
Descriptors: Equated Scores, Test Length, Test Format, Difficulty Level
Salahli, Mehmet Ali; Özdemir, Muzaffer; Yasar, Cumali – International Education Studies, 2013
One of the most important factors for improving the personalization aspects of learning systems is to enable adaptive properties to them. The aim of the adaptive personalized learning system is to offer the most appropriate learning path and learning materials to learners by taking into account their profiles. In this paper, a new approach to…
Descriptors: Individualized Instruction, Electronic Learning, Educational Technology, Profiles
Chen, Ching-I – ProQuest LLC, 2013
The Taiwanese early intervention/early childhood special education (EI/ECSE) system is modeled after the federal legislation and practices of the U.S., incorporating specific cultural beliefs in Taiwan. Nonetheless, in EI/ECSE assessments, several challenges are presented, including: (a) limited resources and funding, (b) lack of reliable and…
Descriptors: Foreign Countries, Special Education, Early Childhood Education, Intervention
Culpepper, Steven Andrew – Multivariate Behavioral Research, 2009
This study linked nonlinear profile analysis (NPA) of dichotomous responses with an existing family of item response theory models and generalized latent variable models (GLVM). The NPA method offers several benefits over previous internal profile analysis methods: (a) NPA is estimated with maximum likelihood in a GLVM framework rather than…
Descriptors: Profiles, Item Response Theory, Models, Maximum Likelihood Statistics
Kino, Mary M.; And Others – 1995
Item response theory (IRT) has been used extensively to study differential item functioning (dif) and to identify potentially biased items. The use of IRT for diagnostic purposes is less prevalent and has received comparatively less attention. This study addressed differential objective function (dof) to identify potentially biased content units.…
Descriptors: Ability, Analysis of Variance, Demography, Difficulty Level
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring