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DeCarlo, Lawrence T. – Journal of Educational Measurement, 2021
In a signal detection theory (SDT) approach to multiple choice exams, examinees are viewed as choosing, for each item, the alternative that is perceived as being the most plausible, with perceived plausibility depending in part on whether or not an item is known. The SDT model is a process model and provides measures of item difficulty, item…
Descriptors: Perception, Bias, Theories, Test Items
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Guo, Hongwen; Deane, Paul D.; van Rijn, Peter W.; Zhang, Mo; Bennett, Randy E. – Journal of Educational Measurement, 2018
The goal of this study is to model pauses extracted from writing keystroke logs as a way of characterizing the processes students use in essay composition. Low-level timing data were modeled, the interkey interval and its subtype, the intraword duration, thought to reflect processes associated with keyboarding skills and composition fluency.…
Descriptors: Writing Processes, Writing (Composition), Essays, Models
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Andersson, Björn – Journal of Educational Measurement, 2016
In observed-score equipercentile equating, the goal is to make scores on two scales or tests measuring the same construct comparable by matching the percentiles of the respective score distributions. If the tests consist of different items with multiple categories for each item, a suitable model for the responses is a polytomous item response…
Descriptors: Equated Scores, Item Response Theory, Error of Measurement, Tests
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Halpin, Peter F.; von Davier, Alina A.; Hao, Jiangang; Liu, Lei – Journal of Educational Measurement, 2017
This article addresses performance assessments that involve collaboration among students. We apply the Hawkes process to infer whether the actions of one student are associated with increased probability of further actions by his/her partner(s) in the near future. This leads to an intuitive notion of engagement among collaborators, and we consider…
Descriptors: Performance Based Assessment, Student Evaluation, Cooperative Learning, Inferences
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Huang, Hung-Yu; Wang, Wen-Chung – Journal of Educational Measurement, 2014
The DINA (deterministic input, noisy, and gate) model has been widely used in cognitive diagnosis tests and in the process of test development. The outcomes known as slip and guess are included in the DINA model function representing the responses to the items. This study aimed to extend the DINA model by using the random-effect approach to allow…
Descriptors: Models, Guessing (Tests), Probability, Ability
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Rijmen, Frank – Journal of Educational Measurement, 2010
Testlet effects can be taken into account by incorporating specific dimensions in addition to the general dimension into the item response theory model. Three such multidimensional models are described: the bi-factor model, the testlet model, and a second-order model. It is shown how the second-order model is formally equivalent to the testlet…
Descriptors: Computation, Item Response Theory, Models, Maximum Likelihood Statistics
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Robusto, Egidio; Stefanutti, Luca; Anselmi, Pasquale – Journal of Educational Measurement, 2010
Within the theoretical framework of knowledge space theory, a probabilistic skill multimap model for assessing learning processes is proposed. The learning process of a student is modeled as a function of the student's knowledge and of an educational intervention on the attainment of specific skills required to solve problems in a knowledge…
Descriptors: Intervention, Learning Processes, Probability, Item Response Theory
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Wang, Changjiang; Gierl, Mark J. – Journal of Educational Measurement, 2011
The purpose of this study is to apply the attribute hierarchy method (AHM) to a subset of SAT critical reading items and illustrate how the method can be used to promote cognitive diagnostic inferences. The AHM is a psychometric procedure for classifying examinees' test item responses into a set of attribute mastery patterns associated with…
Descriptors: Reading Comprehension, Test Items, Critical Reading, Protocol Analysis
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Armstrong, Ronald D.; Shi, Min – Journal of Educational Measurement, 2009
This article demonstrates the use of a new class of model-free cumulative sum (CUSUM) statistics to detect person fit given the responses to a linear test. The fundamental statistic being accumulated is the likelihood ratio of two probabilities. The detection performance of this CUSUM scheme is compared to other model-free person-fit statistics…
Descriptors: Probability, Simulation, Models, Psychometrics
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Cahan, Sorel; Gamliel, Eyal – Journal of Educational Measurement, 2006
Despite its intuitive appeal and popularity, Thorndike's constant ratio (CR) model for unbiased selection is inherently inconsistent in "n"-free selection. Satisfaction of the condition for unbiased selection, when formulated in terms of success/acceptance probabilities, usually precludes satisfaction by the converse probabilities of…
Descriptors: Probability, Bias, Mathematical Concepts, Mathematical Models
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Huynh, Huynh – Journal of Educational Measurement, 1976
Within the beta-binomial Bayesian framework, procedures are described for the evaluation of the kappa index of reliability on the basis of one administration of a domain-referenced test. Major factors affecting this index include cutoff score, test score variability and test length. Empirical data which substantiate some theoretical trends deduced…
Descriptors: Criterion Referenced Tests, Decision Making, Mathematical Models, Probability
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Subkoviak, Michael J. – Journal of Educational Measurement, 1976
A number of different reliability coefficients have recently been proposed for tests used to differentiate between groups such as masters and nonmasters. One promising index is the proportion of students in a class that are consistently assigned to the same mastery group across two testings. The present paper proposes a single test administration…
Descriptors: Criterion Referenced Tests, Mastery Tests, Mathematical Models, Probability
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Beland, Anne; Mislevy, Robert J. – Journal of Educational Measurement, 1996
This article addresses issues in model building and statistical inference in the context of student modeling. The use of probability-based reasoning to explicate hypothesized and empirical relationships and to structure inference in the context of proportional reasoning tasks is discussed. Ideas are illustrated with an example concerning…
Descriptors: Cognitive Psychology, Models, Networks, Probability
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Sawyer, Richard – Journal of Educational Measurement, 1996
Decision theory is a useful method for assessing the effectiveness of the components of a course placement system. The effectiveness of placement tests or other variables in identifying underprepared students is described by the conditional probability of success in a standard course. Estimating the conditional probability of success is discussed.…
Descriptors: College Students, Estimation (Mathematics), Higher Education, Mathematical Models
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Spray, Judith A.; Welch, Catherine J. – Journal of Educational Measurement, 1990
The effect of large, within-examinee item difficulty variability on estimates of the proportion of consistent classification of examinees into mastery categories was studied over 2 test administrations for 100 simulated examinees. The proportion of consistent classifications was adequately estimated using the technique proposed by M. Subkoviak…
Descriptors: Classification, Difficulty Level, Estimation (Mathematics), Item Response Theory
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