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Yuting Han; Zhehan Jiang; Lingling Xu; Fen Cai – AERA Online Paper Repository, 2024
To address the computational constraints of parameter estimation in the polytomous Cognitive Diagnosis Model (pCDM) in large-scale high data volume situations, this study proposes two two-stage polytomous attribute estimation methods: P_max and P_linear. The effects of the two-stage methods were studied via a Monte Carlo simulation study, and the…
Descriptors: Medical Education, Licensing Examinations (Professions), Measurement Techniques, Statistical Data
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McNeish, Daniel; Harring, Jeffrey R. – Educational and Psychological Measurement, 2017
To date, small sample problems with latent growth models (LGMs) have not received the amount of attention in the literature as related mixed-effect models (MEMs). Although many models can be interchangeably framed as a LGM or a MEM, LGMs uniquely provide criteria to assess global data-model fit. However, previous studies have demonstrated poor…
Descriptors: Growth Models, Goodness of Fit, Error Correction, Sampling
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Stander, Julian; Dalla Valle, Luciana – Journal of Statistics Education, 2017
We discuss the learning goals, content, and delivery of a University of Plymouth intensive module delivered over four weeks entitled MATH1608PP Understanding Big Data from Social Networks, aimed at introducing students to a broad range of techniques used in modern Data Science. This module made use of R, accessed through RStudio, and some popular…
Descriptors: Foreign Countries, College Students, College Mathematics, Statistics
Juszkiewicz, Jolanta – American Association of Community Colleges, 2015
This is the second of a series of reports on trends in national community college enrollments. National community college enrollments continue to decrease, with variations at the state and local levels. The report also examines completion rates published by the U.S. Department of Education (ED) based on institutional level reporting, and those…
Descriptors: Educational Trends, Community Colleges, Enrollment Trends, Statistical Data
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Khan, R. Nazim – International Journal of Mathematical Education in Science and Technology, 2015
Open book assessment is not a new idea, but it does not seem to have gained ground in higher education. In particular, not much literature is available on open book examinations in mathematics and statistics in higher education. The objective of this paper is to investigate the appropriateness of open book assessments in a first-year business…
Descriptors: Evaluation Methods, Higher Education, Mathematics Tests, Statistics
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Wedman, Jonathan; Lyrén, Per-Erik – Practical Assessment, Research & Evaluation, 2015
When subscores on a test are reported to the test taker, the appropriateness of reporting them depends on whether they provide useful information above what is provided by the total score. Subscores that fail to do so lack adequate psychometric quality and should not be reported. There are several methods for examining the quality of subscores,…
Descriptors: Evaluation Methods, Psychometrics, Scores, Tests
MacHardy, Zachary; Pardos, Zachary A. – International Educational Data Mining Society, 2015
Along with the advent of MOOCs and other online learning platforms such as Khan Academy, the role of online education has continued to grow in relation to that of traditional on-campus instruction. Rather than tackle the problem of evaluating large educational units such as entire online courses, this paper approaches a smaller problem: exploring…
Descriptors: Educational Technology, Video Technology, Units of Study, Multimedia Materials
Schwartz, Robert Andrew – ProQuest LLC, 2012
"Data modeling" is an approach that helps students to transform initial, and often misguided, understandings of variability and chance to forms of reasoning that coordinate chance with variability by designing learning environments that support this reasoning by allowing students to invent and revise models. The Assessing Data Modeling…
Descriptors: Psychometrics, Statistical Data, Statistical Analysis, Models
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Liang, Guodong; Akiba, Motoko – Educational Policy, 2015
Using statewide longitudinal teacher survey data collected in 2009 and 2010, this study examined the characteristics of teacher evaluation used to determine performance-related pay (PRP), and the association between PRP and improvement in the practice of constructivist instruction. The study found that 10.9% of middle school mathematics teachers…
Descriptors: Constructivism (Learning), Teacher Evaluation, Merit Pay, Longitudinal Studies
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Gorin, Joanna S. – Teachers College Record, 2014
Background/Context: Principles of evidential reasoning have often been discussed in the context of educational and psychological measurement with respect to construct validity and validity arguments. More recently, Mislevy proposed the metaphor of assessment as an evidentiary argument about students' learning and abilities given their…
Descriptors: Educational Assessment, Educational Practices, Barriers, Evidence
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Warren, John Robert; Saliba, Jim – Educational Researcher, 2012
How many students repeat a grade each year? How do retention rates vary across states and over time? Despite extensive research on the predictors and consequences of grade retention, there is no systematic way to quantify state-level retention rates; even national estimates rely on imperfect proxy measures. We present a conceptually simple…
Descriptors: Grade Repetition, School Holding Power, Public Education, National Surveys
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Calmettes, Guillaume; Drummond, Gordon B.; Vowler, Sarah L. – Advances in Physiology Education, 2012
A jack knife is a pocket knife that is put to many tasks, because it's ready to hand. Often there could be a better tool for the job, such as a screwdriver, a scraper, or a can-opener, but these are not usually pocket items. In statistical terms, the expression implies making do with what's available. Another simile, of an extreme situation, is…
Descriptors: Statistical Analysis, Computation, Population Distribution, Evaluation Methods
Cai, Li; Monroe, Scott – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
We propose a new limited-information goodness of fit test statistic C[subscript 2] for ordinal IRT models. The construction of the new statistic lies formally between the M[subscript 2] statistic of Maydeu-Olivares and Joe (2006), which utilizes first and second order marginal probabilities, and the M*[subscript 2] statistic of Cai and Hansen…
Descriptors: Item Response Theory, Models, Goodness of Fit, Probability
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Gill, Brian; Shoji, Megan; Coen, Thomas; Place, Kate – Regional Educational Laboratory Mid-Atlantic, 2016
School districts and states across the Regional Educational Laboratory Mid-Atlantic Region and the country as a whole have been modifying their teacher evaluation systems to identify more effective and less effective teachers and provide better feedback to improve instructional practice. The new systems typically include components related to…
Descriptors: Predictive Validity, Test Bias, Test Content, School Districts
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Groth, Randall E. – Journal of Statistics Education, 2014
Statistics courses for prospective teachers are being developed in response to recent K-12 curriculum recommendations. As these courses are developed, it is important to design accompanying assessments. This manuscript describes a strategy for assessing aspects of statistical knowledge for teaching. The strategy involves analyzing and responding…
Descriptors: Statistics, Evaluation Methods, Knowledge Base for Teaching, Task Analysis
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