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Showing 1 to 15 of 36 results Save | Export
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C. J. Van Lissa; M. Garnier-Villarreal; D. Anadria – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Latent class analysis (LCA) refers to techniques for identifying groups in data based on a parametric model. Examples include mixture models, LCA with ordinal indicators, and latent class growth analysis. Despite its popularity, there is limited guidance with respect to decisions that must be made when conducting and reporting LCA. Moreover, there…
Descriptors: Multivariate Analysis, Structural Equation Models, Open Source Technology, Computation
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Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2022
Takers of educational tests often receive proficiency levels instead of or in addition to scaled scores. For example, proficiency levels are reported for the Advanced Placement (AP®) and U.S. Medical Licensing examinations. Technical difficulties and other unforeseen events occasionally lead to missing item scores and hence to incomplete data on…
Descriptors: Computation, Data Analysis, Educational Testing, Accuracy
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Johnson, Matthew S.; Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2020
One common score reported from diagnostic classification assessments is the vector of posterior means of the skill mastery indicators. As with any assessment, it is important to derive and report estimates of the reliability of the reported scores. After reviewing a reliability measure suggested by Templin and Bradshaw, this article suggests three…
Descriptors: Reliability, Probability, Skill Development, Classification
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Vong, Wai Keen; Hendrickson, Andrew T.; Navarro, Danielle J.; Perfors, Amy – Cognitive Science, 2019
The curse of dimensionality, which has been widely studied in statistics and machine learning, occurs when additional features cause the size of the feature space to grow so quickly that learning classification rules becomes increasingly difficult. How do people overcome the curse of dimensionality when acquiring real-world categories that have…
Descriptors: Learning Processes, Classification, Models, Performance
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Raykov, Tenko; Marcoulides, George A.; Harrison, Michael; Menold, Natalja – Educational and Psychological Measurement, 2019
This note confronts the common use of a single coefficient alpha as an index informing about reliability of a multicomponent measurement instrument in a heterogeneous population. Two or more alpha coefficients could instead be meaningfully associated with a given instrument in finite mixture settings, and this may be increasingly more likely the…
Descriptors: Statistical Analysis, Test Reliability, Measures (Individuals), Computation
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Thompson, W. Jake; Clark, Amy K.; Nash, Brooke – Applied Measurement in Education, 2019
As the use of diagnostic assessment systems transitions from research applications to large-scale assessments for accountability purposes, reliability methods that provide evidence at each level of reporting are needed. The purpose of this paper is to summarize one simulation-based method for estimating and reporting reliability for an…
Descriptors: Test Reliability, Diagnostic Tests, Classification, Computation
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O'Neill, Michael – Perspectives: Policy and Practice in Higher Education, 2019
The UK's HE system is mired in public debate around 'grade inflation', and there is substantial pressure to address the perceived devaluation of degrees through blunt policy measures such as modifying classification algorithms. Policy-makers should be aware of the impact of their actions upon students' learning; this article frames some of the…
Descriptors: Foreign Countries, Educational Policy, Academic Degrees, Classification
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Mbaye, Baba – International Association for Development of the Information Society, 2018
The significant amount of information available on the web has led to difficulties for the learner to find useful information and relevant resources to carry out their training. The recommender systems have achieved significant success in the area of e-commerce, they still have difficulties in formulating relevant recommendations on e-learning…
Descriptors: Information Systems, Electronic Learning, Referral, Information Sources
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Lathrop, Quinn N.; Cheng, Ying – Journal of Educational Measurement, 2014
When cut scores for classifications occur on the total score scale, popular methods for estimating classification accuracy (CA) and classification consistency (CC) require assumptions about a parametric form of the test scores or about a parametric response model, such as item response theory (IRT). This article develops an approach to estimate CA…
Descriptors: Cutting Scores, Classification, Computation, Nonparametric Statistics
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Kemp, Charles – Psychological Review, 2012
Humans can learn to organize many kinds of domains into categories, including real-world domains such as kinsfolk and synthetic domains such as sets of geometric figures that vary along several dimensions. Psychologists have studied many individual domains in detail, but there have been few attempts to characterize or explore the full space of…
Descriptors: Concept Formation, Classification, Learning, Knowledge Representation
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Santos, Michael R.; Hu, Aidong; Jordan, Douglas – Journal of Education for Business, 2014
The authors offer a classification technique to make a quantitative skills rubric more operational, with the groupings of multiple-choice questions to match the student learning levels in knowledge, calculation, quantitative reasoning, and analysis. The authors applied this classification technique to the mid-term exams of an introductory finance…
Descriptors: Business Administration Education, Introductory Courses, Student Evaluation, Classification
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Jiao, Hong; Liu, Junhui; Haynie, Kathleen; Woo, Ada; Gorham, Jerry – Educational and Psychological Measurement, 2012
This study explored the impact of partial credit scoring of one type of innovative items (multiple-response items) in a computerized adaptive version of a large-scale licensure pretest and operational test settings. The impacts of partial credit scoring on the estimation of the ability parameters and classification decisions in operational test…
Descriptors: Test Items, Computer Assisted Testing, Measures (Individuals), Scoring
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Wills, Andy J.; Pothos, Emmanuel M. – Psychological Bulletin, 2012
Categorization is one of the fundamental building blocks of cognition, and the study of categorization is notable for the extent to which formal modeling has been a central and influential component of research. However, the field has seen a proliferation of noncomplementary models with little consensus on the relative adequacy of these accounts.…
Descriptors: Classification, Computation, Test Items, Generalizability Theory
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Stuit, David; Austin, Megan J.; Berends, Mark; Gerdeman, R. Dean – Regional Educational Laboratory Midwest, 2014
Recent changes to state laws on accountability have prompted school districts to design teacher performance evaluation systems that incorporate student achievement (student growth) as a major component. As a consequence, some states and districts are considering teacher value- added models as part of teacher performance evaluations. Value-added…
Descriptors: Criterion Referenced Tests, Norm Referenced Tests, Teacher Effectiveness, Reading Achievement
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Kaplan, David; Depaoli, Sarah – Structural Equation Modeling: A Multidisciplinary Journal, 2011
This article examines the problem of specification error in 2 models for categorical latent variables; the latent class model and the latent Markov model. Specification error in the latent class model focuses on the impact of incorrectly specifying the number of latent classes of the categorical latent variable on measures of model adequacy as…
Descriptors: Markov Processes, Longitudinal Studies, Probability, Item Response Theory
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