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Longford, Nicholas T. – Journal of Educational and Behavioral Statistics, 2015
An equating procedure for a testing program with evolving distribution of examinee profiles is developed. No anchor is available because the original scoring scheme was based on expert judgment of the item difficulties. Pairs of examinees from two administrations are formed by matching on coarsened propensity scores derived from a set of…
Descriptors: Equated Scores, Testing Programs, College Entrance Examinations, Scoring
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
Math Requirement Fulfillment and Educational Success of Community College Students: A Matter of When
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
Mahmud, Zamalia; Porter, Anne – Indonesian Mathematical Society Journal on Mathematics Education, 2015
Students' understanding of probability concepts have been investigated from various different perspectives. This study was set out to investigate perceived understanding of probability concepts of forty-four students from the STAT131 Understanding Uncertainty and Variation course at the University of Wollongong, NSW. Rasch measurement which is…
Descriptors: Probability, Concept Teaching, Item Response Theory, Computer Assisted Testing
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
Sadaghiani, Homeyra R.; Pollock, Steven J. – Physical Review Special Topics - Physics Education Research, 2015
As part of an ongoing investigation of students' learning in first semester upper-division quantum mechanics, we needed a high-quality conceptual assessment instrument for comparing outcomes of different curricular approaches. The process of developing such a tool started with converting a preliminary version of a 14-item open-ended quantum…
Descriptors: Science Instruction, Quantum Mechanics, Mechanics (Physics), Multiple Choice Tests
Guo, Hongwen; Oh, Hyeonjoo J. – ETS Research Report Series, 2009
In operational equating, frequency estimation (FE) equipercentile equating is often excluded from consideration when the old and new groups have a large ability difference. This convention may, in some instances, cause the exclusion of one competitive equating method from the set of methods under consideration. In this report, we study the…
Descriptors: Equated Scores, Computation, Statistical Analysis, Test Items
Cetintas, Suleyman; Si, Luo; Xin, Yan Ping; Zhang, Dake; Park, Joo Young; Tzur, Ron – Journal of Educational Data Mining, 2010
Estimating the difficulty level of math word problems is an important task for many educational applications. Identification of relevant and irrelevant sentences in math word problems is an important step for calculating the difficulty levels of such problems. This paper addresses a novel application of text categorization to identify two types of…
Descriptors: Probability, Word Problems (Mathematics), Classification, Difficulty Level
Burns, Matthew K.; Ardoin, Scott P.; Parker, David C.; Hodgson, Jennifer; Klingbeil, David A.; Scholin, Sarah E. – School Psychology Review, 2009
Academic tasks that include easy responses increase the probability that less preferred and/or more challenging tasks will be performed. The current study applied the process of arranging easier stimuli within reading word lists with behavioral momentum and an interspersal technique. We hypothesized that the behavioral momentum condition, which…
Descriptors: Reading Fluency, Word Lists, Educational Strategies, Probability

Krishnaiah, P. R. – Journal of Multivariate Analysis, 1976
In this paper, the author gives a review of the literature on complex multivariate distributions. Some new results on these distributions are also given. Finally, the author discusses the applications of the complex multivariate distributions in the area of the inference on multiple time series. (Author)
Descriptors: Difficulty Level, Hypothesis Testing, Matrices, Probability

van der Linden, Wim J. – Applied Psychological Measurement, 1979
The restrictions on item difficulties that must be met when binomial models are applied to domain-referenced testing are examined. Both a deterministic and a stochastic conception of item responses are discussed with respect to difficulty and Guttman-type items. (Author/BH)
Descriptors: Difficulty Level, Item Sampling, Latent Trait Theory, Mathematical Models
Lord, Frederic M. – 1971
Some stochastic approximation procedures are considered in relation to the problem of choosing a sequence of test questions to accurately estimate a given examinee's standing on a psychological dimension. Illustrations are given evaluating certain procedures in a specific context. (Author/CK)
Descriptors: Academic Ability, Adaptive Testing, Computer Programs, Difficulty Level