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Ford, Karen; Invernizzi, Marcia; Huang, Francis – Reading and Writing: An Interdisciplinary Journal, 2018
This study was designed to identify a continuum of orthographic features that characterize Spanish spelling development in Grades 1-3. Two research questions guided this work: (1) Is there a hierarchy of orthographic features that affect students' spelling accuracy in Spanish over and above other school-level, student-level, and word-level…
Descriptors: Orthographic Symbols, Difficulty Level, Spanish, Spelling
Tang, Steven; Gogel, Hannah; McBride, Elizabeth; Pardos, Zachary A. – International Educational Data Mining Society, 2015
Online adaptive tutoring systems are increasingly being used in classrooms as a way to provide guided learning for students. Such tutors have the potential to provide tailored feedback based on specific student needs and misunderstandings. Bayesian knowledge tracing (BKT) is used to model student knowledge when knowledge is assumed to be changing…
Descriptors: Intelligent Tutoring Systems, Difficulty Level, Bayesian Statistics, Models
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Wang, Xueli; Wang, Yan; Wickersham, Kelly; Sun, Ning; Chan, Hsun-yu – Community College Review, 2017
Objective: In community colleges, achieving competence in math is critical to students' timely progression through coursework and eventual educational success; yet, it remains unclear when the optimal timing to complete required math courses is in order to maximize the chance of completing a credential on time. This study examines the timing of…
Descriptors: Community Colleges, Two Year College Students, Required Courses, Mathematics Achievement
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Finch, W. Holmes; Hernández Finch, Maria E.; French, Brian F. – International Journal of Testing, 2016
Differential item functioning (DIF) assessment is key in score validation. When DIF is present scores may not accurately reflect the construct of interest for some groups of examinees, leading to incorrect conclusions from the scores. Given rising immigration, and the increased reliance of educational policymakers on cross-national assessments…
Descriptors: Test Bias, Scores, Native Language, Language Usage
Rahman, Nazia – ProQuest LLC, 2013
Samejima hypothesized that non-monotonically increasing item response functions (IRFs) of ability might occur for multiple-choice items (referred to here as "Samejima items") if low ability test takers with some, though incomplete, knowledge or skill are drawn to a particularly attractive distractor, while very low ability test takers…
Descriptors: Multiple Choice Tests, Test Items, Item Response Theory, Probability
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Gilstrap, Donald L. – Complicity: An International Journal of Complexity and Education, 2013
In addition to qualitative methods presented in chaos and complexity theories in educational research, this article addresses quantitative methods that may show potential for future research studies. Although much in the social and behavioral sciences literature has focused on computer simulations, this article explores current chaos and…
Descriptors: Educational Research, Social Science Research, Behavioral Science Research, Statistical Analysis
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Atar, Burcu; Kamata, Akihito – Hacettepe University Journal of Education, 2011
The Type I error rates and the power of IRT likelihood ratio test and cumulative logit ordinal logistic regression procedures in detecting differential item functioning (DIF) for polytomously scored items were investigated in this Monte Carlo simulation study. For this purpose, 54 simulation conditions (combinations of 3 sample sizes, 2 sample…
Descriptors: Test Bias, Sample Size, Monte Carlo Methods, Item Response Theory
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Yildirim, Huseyin H.; Yildirim, Selda – Hacettepe University Journal of Education, 2011
Multivariate matching in Differential Item Functioning (DIF) analyses may contribute to understand the sources of DIF. In this context, detecting appropriate additional matching variables is a crucial issue. This present article argues that the variables which are correlated with communalities in item difficulties can be used as an additional…
Descriptors: Test Bias, Multivariate Analysis, Probability, Regression (Statistics)