Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 4 |
Descriptor
Bayesian Statistics | 7 |
Models | 7 |
Goodness of Fit | 5 |
Item Response Theory | 4 |
Psychometrics | 3 |
Test Items | 3 |
Comparative Analysis | 2 |
Correlation | 2 |
Diagnostic Tests | 2 |
Educational Assessment | 2 |
Measurement Techniques | 2 |
More ▼ |
Source
ETS Research Report Series | 2 |
Journal of Educational and… | 2 |
Applied Psychological… | 1 |
Educational and Psychological… | 1 |
Journal of Educational… | 1 |
Author
Sinharay, Sandip | 7 |
Almond, Russell G. | 1 |
Johnson, Matthew | 1 |
Johnson, Matthew S. | 1 |
Stern, Hal S. | 1 |
Publication Type
Journal Articles | 7 |
Reports - Research | 5 |
Reports - Descriptive | 1 |
Reports - Evaluative | 1 |
Education Level
Middle Schools | 2 |
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Graduate Record Examinations | 1 |
What Works Clearinghouse Rating
Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2015
Person-fit assessment may help the researcher to obtain additional information regarding the answering behavior of persons. Although several researchers examined person fit, there is a lack of research on person-fit assessment for mixed-format tests. In this article, the lz statistic and the ?2 statistic, both of which have been used for tests…
Descriptors: Test Format, Goodness of Fit, Item Response Theory, Bayesian Statistics
Sinharay, Sandip; Almond, Russell G. – Educational and Psychological Measurement, 2007
A cognitive diagnostic model uses information from educational experts to describe the relationships between item performances and posited proficiencies. When the cognitive relationships can be described using a fully Bayesian model, Bayesian model checking procedures become available. Checking models tied to cognitive theory of the domains…
Descriptors: Epistemology, Clinical Diagnosis, Job Training, Item Response Theory
Sinharay, Sandip; Johnson, Matthew S.; Stern, Hal S. – Applied Psychological Measurement, 2006
Model checking in item response theory (IRT) is an underdeveloped area. There is no universally accepted tool for checking IRT models. The posterior predictive model-checking method is a popular Bayesian model-checking tool because it has intuitive appeal, is simple to apply, has a strong theoretical basis, and can provide graphical or numerical…
Descriptors: Predictive Measurement, Item Response Theory, Bayesian Statistics, Models
Sinharay, Sandip – Journal of Educational Measurement, 2005
Even though Bayesian estimation has recently become quite popular in item response theory (IRT), there is a lack of works on model checking from a Bayesian perspective. This paper applies the posterior predictive model checking (PPMC) method (Guttman, 1967; Rubin, 1984), a popular Bayesian model checking tool, to a number of real applications of…
Descriptors: Measurement Techniques, Item Response Theory, Bayesian Statistics, Models
Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2006
Bayesian networks are frequently used in educational assessments primarily for learning about students' knowledge and skills. There is a lack of works on assessing fit of Bayesian networks. This article employs the posterior predictive model checking method, a popular Bayesian model checking tool, to assess fit of simple Bayesian networks. A…
Descriptors: Models, Educational Assessment, Diagnostic Tests, Evaluation Methods
Sinharay, Sandip; Johnson, Matthew – ETS Research Report Series, 2005
"Item models" (LaDuca, Staples, Templeton, & Holzman, 1986) are classes from which it is possible to generate/produce items that are equivalent/isomorphic to other items from the same model (e.g., Bejar, 1996; Bejar, 2002). They have the potential to produce large number of high-quality items at reduced cost. This paper introduces…
Descriptors: Item Analysis, Test Items, Scoring, Psychometrics
Sinharay, Sandip – ETS Research Report Series, 2004
Assessing fit of psychometric models has always been an issue of enormous interest, but there exists no unanimously agreed upon item fit diagnostic for the models. Bayesian networks, frequently used in educational assessments (see, for example, Mislevy, Almond, Yan, & Steinberg, 2001) primarily for learning about students' knowledge and…
Descriptors: Bayesian Statistics, Networks, Models, Goodness of Fit