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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing 1 to 15 of 1,021 results
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Connor, Carol M.; Alberto, Paul A.; Compton, Donald L.; O'Connor, Rollanda E. – National Center for Special Education Research, 2014
Reading difficulties and disabilities present serious and potentially lifelong challenges. Children who do not read well are more likely to be retained a grade in school, drop out of high school, become a teen parent, or enter the juvenile justice system. Building on the extant research and seminal studies, including the National Reading Panel and…
Descriptors: Reading Difficulties, Learning Disabilities, Reading Skills, At Risk Students
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He, Wei; Reckase, Mark D. – Educational and Psychological Measurement, 2014
For computerized adaptive tests (CATs) to work well, they must have an item pool with sufficient numbers of good quality items. Many researchers have pointed out that, in developing item pools for CATs, not only is the item pool size important but also the distribution of item parameters and practical considerations such as content distribution…
Descriptors: Item Banks, Test Length, Computer Assisted Testing, Adaptive Testing
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Nydick, Steven W. – Journal of Educational and Behavioral Statistics, 2014
The sequential probability ratio test (SPRT) is a common method for terminating item response theory (IRT)-based adaptive classification tests. To decide whether a classification test should stop, the SPRT compares a simple log-likelihood ratio, based on the classification bound separating two categories, to prespecified critical values. As has…
Descriptors: Probability, Item Response Theory, Models, Classification
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Yao, Lihua – Journal of Educational Measurement, 2014
The intent of this research was to find an item selection procedure in the multidimensional computer adaptive testing (CAT) framework that yielded higher precision for both the domain and composite abilities, had a higher usage of the item pool, and controlled the exposure rate. Five multidimensional CAT item selection procedures (minimum angle;…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Selection
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Han, Kyung T.; Guo, Fanmin – Practical Assessment, Research & Evaluation, 2014
The full-information maximum likelihood (FIML) method makes it possible to estimate and analyze structural equation models (SEM) even when data are partially missing, enabling incomplete data to contribute to model estimation. The cornerstone of FIML is the missing-at-random (MAR) assumption. In (unidimensional) computerized adaptive testing…
Descriptors: Maximum Likelihood Statistics, Structural Equation Models, Data, Computer Assisted Testing
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He, Wei; Diao, Qi; Hauser, Carl – Educational and Psychological Measurement, 2014
This study compared four item-selection procedures developed for use with severely constrained computerized adaptive tests (CATs). Severely constrained CATs refer to those adaptive tests that seek to meet a complex set of constraints that are often not conclusive to each other (i.e., an item may contribute to the satisfaction of several…
Descriptors: Comparative Analysis, Test Items, Selection, Computer Assisted Testing
Alberta Education, 2013
The education of students is fundamental to shaping a preferred provincial, national and global future. It is also essential in maintaining Alberta's standard of living and ensuring its global competitiveness. The education system must simultaneously prepare the citizens of tomorrow while equipping the students with the knowledge and skills…
Descriptors: Foreign Countries, Planning, Educational Legislation, Parents
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Cho, Hyun-Jeong; Kingston, Neal – Journal of Special Education, 2013
The purpose of this case study was to determine teachers' rationales for assigning students with mild disabilities to alternate assessment based on alternate achievement standards (AA-AAS). In interviews, special educators stated that their primary considerations in making the assignments were low academic performance, student use of extended…
Descriptors: Individualized Education Programs, Low Achievement, Mild Disabilities, Academic Standards
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Pohl, Steffi – Journal of Educational Measurement, 2013
This article introduces longitudinal multistage testing (lMST), a special form of multistage testing (MST), as a method for adaptive testing in longitudinal large-scale studies. In lMST designs, test forms of different difficulty levels are used, whereas the values on a pretest determine the routing to these test forms. Since lMST allows for…
Descriptors: Adaptive Testing, Longitudinal Studies, Difficulty Level, Comparative Analysis
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Becker, Kirk A.; Bergstrom, Betty A. – Practical Assessment, Research & Evaluation, 2013
The need for increased exam security, improved test formats, more flexible scheduling, better measurement, and more efficient administrative processes has caused testing agencies to consider converting the administration of their exams from paper-and-pencil to computer-based testing (CBT). Many decisions must be made in order to provide an optimal…
Descriptors: Testing, Models, Testing Programs, Program Administration
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Makransky, Guido; Mortensen, Erik Lykke; Glas, Cees A. W. – Assessment, 2013
Narrowly defined personality facet scores are commonly reported and used for making decisions in clinical and organizational settings. Although these facets are typically related, scoring is usually carried out for a single facet at a time. This method can be ineffective and time consuming when personality tests contain many highly correlated…
Descriptors: Computer Assisted Testing, Adaptive Testing, Personality Measures, Accuracy
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Cawthon, Stephanie; Leppo, Rachel; Carr, Therese; Kopriva, Rebecca – Educational Assessment, 2013
When do item adaptations veer from their intent and, instead of increasing access, modify the construct being measured? This study analyzed early elementary student achievement data from a statewide field test containing both standard and adapted science items. Four student groups were included in this analysis: English language learners, students…
Descriptors: Testing Accommodations, Test Items, Adaptive Testing, Science Tests
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Belov, Dmitry I. – Journal of Educational Measurement, 2013
The development of statistical methods for detecting test collusion is a new research direction in the area of test security. Test collusion may be described as large-scale sharing of test materials, including answers to test items. Current methods of detecting test collusion are based on statistics also used in answer-copying detection.…
Descriptors: Cheating, Computer Assisted Testing, Adaptive Testing, Statistical Analysis
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Markon, Kristian E. – Psychological Methods, 2013
Although advances have improved our ability to describe the measurement precision of a test, it often remains challenging to summarize how well a test is performing overall. Reliability, for example, provides an overall summary of measurement precision, but it is sample-specific and might not reflect the potential usefulness of a test if the…
Descriptors: Measures (Individuals), Psychometrics, Statistical Analysis, Bayesian Statistics
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van der Linden, Wim J.; Xiong, Xinhui – Journal of Educational and Behavioral Statistics, 2013
Two simple constraints on the item parameters in a response--time model are proposed to control the speededness of an adaptive test. As the constraints are additive, they can easily be included in the constraint set for a shadow-test approach (STA) to adaptive testing. Alternatively, a simple heuristic is presented to control speededness in plain…
Descriptors: Adaptive Testing, Heuristics, Test Length, Reaction Time
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