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Horzum, Mehmet Baris; Uyanik, Gülden Kaya – International Review of Research in Open and Distributed Learning, 2015
The aim of this study is to examine validity and reliability of Community of Inquiry Scale commonly used in online learning by the means of Item Response Theory. For this purpose, Community of Inquiry Scale version 14 is applied on 1,499 students of a distance education center's online learning programs at a Turkish state university via internet.…
Descriptors: Foreign Countries, Item Response Theory, Communities of Practice, Inquiry
Wyse, Adam E.; Hao, Shiqi – Applied Psychological Measurement, 2012
This article introduces two new classification consistency indices that can be used when item response theory (IRT) models have been applied. The new indices are shown to be related to Rudner's classification accuracy index and Guo's classification accuracy index. The Rudner- and Guo-based classification accuracy and consistency indices are…
Descriptors: Item Response Theory, Classification, Accuracy, Reliability
Glas, Cees A. W.; Pimentel, Jonald L. – Educational and Psychological Measurement, 2008
In tests with time limits, items at the end are often not reached. Usually, the pattern of missing responses depends on the ability level of the respondents; therefore, missing data are not ignorable in statistical inference. This study models data using a combination of two item response theory (IRT) models: one for the observed response data and…
Descriptors: Intelligence Tests, Statistical Inference, Item Response Theory, Modeling (Psychology)
Peer reviewedFischer, Gerhard H. – Applied Psychological Measurement, 2003
Compared approaches to determining the precision of gain scores: (1) the asymptotic normal distribution of the maximum likelihood estimator of the person parameter; and (2) the exact conditional distribution of the gain score. Use of three data sets illustrates that these methods yield more relevant and more detailed information than traditional…
Descriptors: Estimation (Mathematics), Item Response Theory, Maximum Likelihood Statistics, Reliability
Haberman, Shelby J. – ETS Research Report Series, 2004
The usefulness of joint and conditional maximum-likelihood is considered for the Rasch model under realistic testing conditions in which the number of examinees is very large and the number is items is relatively large. Conditions for consistency and asymptotic normality are explored, effects of model error are investigated, measures of prediction…
Descriptors: Maximum Likelihood Statistics, Computation, Item Response Theory, Testing
Haberman, Shelby J. – ETS Research Report Series, 2006
Multinomial-response models are available that correspond implicitly to tests in which a total score is computed as the sum of polytomous item scores. For these models, joint and conditional estimation may be considered in much the same way as for the Rasch model for right-scored tests. As in the Rasch model, joint estimation is only attractive if…
Descriptors: Computation, Models, Test Items, Scores
The Standardized Letter of Recommendation: Implications for Selection. Research Report. ETS RR-07-38
Liu, Ou Lydia; Minsky, Jennifer; Ling, Guangming; Kyllonen, Patrick – ETS Research Report Series, 2007
In an effort to standardize academic application procedures, the Standardized Letter of Recommendation (SLR) was developed to capture important cognitive and noncognitive qualities of graduate school candidates. The SLR consists of seven scales ("knowledge," "analytical skills," "communication skills,"…
Descriptors: Letters (Correspondence), Graduate Students, College Applicants, Cognitive Ability

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