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Patel, Nirmal; Sharma, Aditya; Shah, Tirth; Lomas, Derek – Journal of Educational Data Mining, 2021
Process Analysis is an emerging approach to discover meaningful knowledge from temporal educational data. The study presented in this paper shows how we used Process Analysis methods on the National Assessment of Educational Progress (NAEP) test data for modeling and predicting student test-taking behavior. Our process-oriented data exploration…
Descriptors: Learning Analytics, National Competency Tests, Evaluation Methods, Prediction
Wang, Wenyi; Song, Lihong; Chen, Ping; Ding, Shuliang – Journal of Educational Measurement, 2019
Most of the existing classification accuracy indices of attribute patterns lose effectiveness when the response data is absent in diagnostic testing. To handle this issue, this article proposes new indices to predict the correct classification rate of a diagnostic test before administering the test under the deterministic noise input…
Descriptors: Cognitive Tests, Classification, Accuracy, Diagnostic Tests
Wilson, Mark; Moore, Stephen – Language Testing, 2011
This paper provides a summary of a novel and integrated way to think about the item response models (most often used in measurement applications in social science areas such as psychology, education, and especially testing of various kinds) from the viewpoint of the statistical theory of generalized linear and nonlinear mixed models. In addition,…
Descriptors: Reading Comprehension, Testing, Social Sciences, Item Response Theory
Rawls, Anita Michelle Wilson – ProQuest LLC, 2009
The study discussed the importance of test validity, often established when making decisions that may affect a student's future. The decisions made by policymakers and educators must not adversely affect any particular subgroups of students (i.e., year of administration, gender, ethnicity, level English proficiency, socioeconomic status, and…
Descriptors: Test Validity, Reading Tests, Factor Analysis, Item Analysis
Nering, Michael L., Ed.; Ostini, Remo, Ed. – Routledge, Taylor & Francis Group, 2010
This comprehensive "Handbook" focuses on the most used polytomous item response theory (IRT) models. These models help us understand the interaction between examinees and test questions where the questions have various response categories. The book reviews all of the major models and includes discussions about how and where the models…
Descriptors: Guides, Item Response Theory, Test Items, Correlation
Peer reviewedTinsley, Howard E. A.; Dawis, Rene V. – Educational and Psychological Measurement, 1975
Examines the application of the Rasch simple logistic model to analogy test items. (RC)
Descriptors: Correlation, Item Analysis, Measurement Techniques, Models
WRIGHT, BENJAMIN D. – 1967
OBJECTIVITY IN MENTAL TESTING REQUIRES THAT TEST CALIBRATION BE INDEPENDENT OF WHICH PERSONS ARE USED FOR THE CALIBRATION AND THAT PERSON MEASUREMENT BE INDEPENDENT OF WHICH ITEMS ARE USED FOR THE MEASUREMENT. PRESENT PRACTICE IS NOT OBJECTIVE, BUT COULD BE SO, AS SHOWN BY THE EXAMPLE HERE PRESENTED. DATA COME FROM THE RESPONSES OF 976 LAW…
Descriptors: Intelligence, Item Analysis, Measurement Techniques, Models
Peer reviewedRaatz, Ulrich – Language Testing, 1985
Argues that classical test theory cannot be used at the item level on "authentic" language tests. However, if the total score is derived by adding the scores of a number of different and independent parts, test reliability can be estimated. Suggests using the Classical Latent Additives model to examine test-part homogeneity. (Author/SED)
Descriptors: Item Analysis, Latent Trait Theory, Models, Second Language Learning
von Davier, Matthias; von Davier, Alina A. – Educational Testing Service, 2004
This paper examines item response theory (IRT) scale transformations and IRT scale linking methods used in the Non-Equivalent Groups with Anchor Test (NEAT) design to equate two tests, X and Y. It proposes a unifying approach to the commonly used IRT linking methods: mean-mean, mean-var linking, concurrent calibration, Stocking and Lord and…
Descriptors: Measures (Individuals), Item Response Theory, Item Analysis, Models
Airasian, Peter W.; Bart, William M. – Educational Technology, 1973
Authors describe a measurement technique which processes item data so as to indicate logical relationships among items. (HB)
Descriptors: Achievement Rating, Comparative Testing, Factor Analysis, Item Analysis
Durovic, Jerry – 1970
The New York State Department of Civil Service investigated an empirical application of the Rasch model which appears useful in Civil Service testing. The model is a powerful tool for developing insights into what test items are measuring while permitting the investigator to spot defective items. It also reveals meaningful distinctions in the type…
Descriptors: Computer Programs, Goodness of Fit, Government Employees, Item Analysis
Kalisch, Stanley J. – Journal of Computer-Based Instruction, 1974
A tailored testing model employing the beta distribution, whose mean equals the difficulty of an item and whose variance is approximately equal to the sampling variance of the item difficulty, and employing conditional item difficulties, is proposed. (Author)
Descriptors: Adaptive Testing, Computer Assisted Testing, Evaluation Methods, Item Analysis
Kolakowski, Donald – 1972
Empirical results are presented as regards the implementation of a latent-trait psychometric model by means of conditional maximum likelihood estimation. Items are scored polychotomously into varying numbers of nominal categories and the test and item characteristic curves and information functions are examined. It is concluded that scoring items…
Descriptors: Error of Measurement, Item Analysis, Item Sampling, Measurement Techniques
Dirkzwager, Arie – International Journal of Testing, 2003
The crux in psychometrics is how to estimate the probability that a respondent answers an item correctly on one occasion out of many. Under the current testing paradigm this probability is estimated using all kinds of statistical techniques and mathematical modeling. Multiple evaluation is a new testing paradigm using the person's own personal…
Descriptors: Psychometrics, Probability, Models, Measurement
Tatsuoka, Kikumi K.; Tatsuoka, Maurice M. – 1981
A new system of order analysis, developed by Takeya and called Item Relations Structure Analysis (IRSA), was described and used for examining the structural relations among a set of 24 items on the addition and subtraction of fractions. A diagraph showing 16 chains of items that had discernibly common features was generated by this method, and…
Descriptors: Addition, Computation, Educational Research, Elementary Secondary Education
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