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Showing 1 to 15 of 32 results Save | Export
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Jang, Yoona; Hong, Sehee – Educational and Psychological Measurement, 2023
The purpose of this study was to evaluate the degree of classification quality in the basic latent class model when covariates are either included or are not included in the model. To accomplish this task, Monte Carlo simulations were conducted in which the results of models with and without a covariate were compared. Based on these simulations,…
Descriptors: Classification, Models, Prediction, Sample Size
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Vanhove, Jan – Second Language Research, 2020
Researchers commonly estimate the prevalence of nativelikeness among second-language learners by assessing how many of them perform similarly to a sample of native speakers on one or several linguistic tasks. Even when the native (L1) samples and second-language (L2) samples are comparable in terms of age, socio-economic status, educational…
Descriptors: Second Language Learning, Native Speakers, Labeling (of Persons), Classification
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Topping, Keith – Education Sciences, 2021
The present paper offers a definition of peer assessment and then reviews the major syntheses on its effectiveness. However, the main part of this paper is preoccupied with how to do PA successfully. A typology of 44 elements explains the differences between the many types of peer assessment. Then a theoretical model outlines some of the processes…
Descriptors: Peer Evaluation, Definitions, Program Effectiveness, Models
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Sessoms, John; Henson, Robert A. – Measurement: Interdisciplinary Research and Perspectives, 2018
Diagnostic classification models (DCMs) classify examinees based on the skills they have mastered given their test performance. This classification enables targeted feedback that can inform remedial instruction. Unfortunately, applications of DCMs have been criticized (e.g., no validity support). Generally, these evaluations have been brief and…
Descriptors: Literature Reviews, Classification, Models, Criticism
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Beretvas, S. Natasha; Murphy, Daniel L. – Journal of Experimental Education, 2013
The authors assessed correct model identification rates of Akaike's information criterion (AIC), corrected criterion (AICC), consistent AIC (CAIC), Hannon and Quinn's information criterion (HQIC), and Bayesian information criterion (BIC) for selecting among cross-classified random effects models. Performance of default values for the 5…
Descriptors: Models, Goodness of Fit, Evaluation Criteria, Educational Research
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Escudeiro, Nuno; Escudeiro, Paula; Cruz, Augusto – Electronic Journal of e-Learning, 2011
The correct grading of free text answers to exam questions during an assessment process is time consuming and subject to fluctuations in the application of evaluation criteria, particularly when the number of answers is high (in the hundreds). In consequence of these fluctuations, inherent to human nature, and largely determined by emotional…
Descriptors: Evaluation, Evaluation Criteria, Active Learning, Homogeneous Grouping
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Olofsson, Anders D.; Lindberg, J. Ola; Hauge, Trond Eiliv – Campus-Wide Information Systems, 2011
Purpose: The purpose of this paper is to analyze the use of blogs as part of a formative assessment practice, to report how reflective peer-to-peer learning can be designed and provided in online higher education. Design/methodology/approach: The research relies on a qualitative approach. The empirical setting comprised an online higher education…
Descriptors: Foreign Countries, Web Sites, Electronic Publishing, Formative Evaluation
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Wang, Hei-Chia; Chou, Ya-lin; Guo, Jiunn-Liang – Program: Electronic Library and Information Systems, 2011
Purpose: The paper's aim is to propose a core journal decision method, called the local impact factor (LIF), which can evaluate the requirements of the local user community by combining both the access rate and the weighted impact factor, and by tracking citation information on the local users' articles. Design/methodology/approach: Many…
Descriptors: Internet, Access to Information, Weighted Scores, Models
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Louca, Loucas T.; Zacharia, Zacharias C.; Michael, Michalis; Constantinou, Constantinos P. – Journal of Educational Computing Research, 2011
The purpose of this study was to develop a framework for analyzing and evaluating student-constructed models of physical phenomena and monitoring the progress of these models. Moreover, we aimed to examine whether this framework could capture differences between models created using different computer-based modeling tools; namely, computer-based…
Descriptors: Foreign Countries, Programming, Classification, Student Evaluation
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
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Sparks, Richard L.; Lovett, Benjamin J. – Journal of Learning Disabilities, 2009
This study examined the consequences of classifying postsecondary students as learning disabled (LD) using five objective sets of criteria: IQ-achievement discrepancies (1.0 to 1.49 SD, 1.5 to 1.99 SD, and greater than or equal to 2.0 SD), DSM-IV criteria, and chronic educational impairment beginning in childhood. The participants were 378…
Descriptors: Evaluation Criteria, Disability Identification, Postsecondary Education, Learning Disabilities
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Losee, Robert M., Jr. – Journal of the American Society for Information Science, 1992
Proposes an automated document classification system based on the Gray code, information-theoretic considerations, and requirements of classification systems including objectivity, inclusion, linearity, and increasing distance-dissimilarity. A measure to evaluate system performance is developed, and the proposed system is compared with the Library…
Descriptors: Automatic Indexing, Cataloging, Classification, Comparative Analysis
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Nevo, David – Review of Educational Research, 1983
Evaluation literature is reviewed through an analytical framework representing issues addressed by major evaluation approaches in education. Ten evaluation dimensions comprise the framework: (1) definition, (2) functions, (3) objects, (4) variables, (5) criteria, (6) audience, (7) evaluation process, (8) inquiry methods, (9) evaluator…
Descriptors: Classification, Definitions, Evaluation, Evaluation Criteria
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Livneh, Hanoch – Rehabilitation Counseling Bulletin, 1988
Reviews approaches for categorizing outcome criterion measures in the human services. Suggests a multidimensional paradigm based on conceptualizations advocated in the literature. Discusses paradigm's implications for rehabilitation practice. (Author/ABL)
Descriptors: Classification, Evaluation Criteria, Evaluation Methods, Models
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Powell, Evan R. – Small Group Behavior, 1977
This study uses two methods of analysis to examine the degree to which items within the cells of the Hill Interaction Matrix correlate. It is found that the table of specifications does not hold up. But the author recommends caution in interpreting this finding. (Author/BP)
Descriptors: Classification, Conceptual Schemes, Correlation, Evaluation Criteria
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