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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

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Showing 1 to 15 of 347 results
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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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Straat, J. Hendrik; van der Ark, L. Andries; Sijtsma, Klaas – Educational and Psychological Measurement, 2014
An automated item selection procedure in Mokken scale analysis partitions a set of items into one or more Mokken scales, if the data allow. Two algorithms are available that pursue the same goal of selecting Mokken scales of maximum length: Mokken's original automated item selection procedure (AISP) and a genetic algorithm (GA). Minimum…
Descriptors: Sampling, Test Items, Effect Size, Scaling
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Lin, Pei-Ying; Lin, Yu-Cheng – Educational and Psychological Measurement, 2014
This exploratory study investigated potential sources of setting accommodation resulting in differential item functioning (DIF) on math and reading assessments for examinees with varied learning characteristics. The examinees were those who participated in large-scale assessments and were tested in either standardized or accommodated testing…
Descriptors: Test Bias, Multivariate Analysis, Testing Accommodations, Mathematics Tests
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Wiley, Edward W.; Shavelson, Richard J.; Kurpius, Amy A. – Educational and Psychological Measurement, 2014
The name "SAT" has become synonymous with college admissions testing; it has been dubbed "the gold standard." Numerous studies on its reliability and predictive validity show that the SAT predicts college performance beyond high school grade point average. Surprisingly, studies of the factorial structure of the current version…
Descriptors: College Readiness, College Admission, College Entrance Examinations, Factor Analysis
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Chen, Pei-Hua; Chang, Hua-Hua; Wu, Haiyan – Educational and Psychological Measurement, 2012
Two sampling-and-classification-based procedures were developed for automated test assembly: the Cell Only and the Cell and Cube methods. A simulation study based on a 540-item bank was conducted to compare the performance of the procedures with the performance of a mixed-integer programming (MIP) method for assembling multiple parallel test…
Descriptors: Test Items, Selection, Test Construction, Item Response Theory
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Cheng, Ying-Yao; Chen, Li-Ming; Liu, Kun-Shia; Chen, Yi-Ling – Educational and Psychological Measurement, 2011
The study aims to develop three school bullying scales--the Bully Scale, the Victim Scale, and the Witness Scale--to assess secondary school students' bullying behaviors, including physical bullying, verbal bullying, relational bullying, and cyber bullying. The items of the three scales were developed from viewpoints of bullies, victims, and…
Descriptors: Bullying, School Safety, Measures (Individuals), Psychometrics
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Gnambs, Timo; Batinic, Bernad – Educational and Psychological Measurement, 2011
Computer-adaptive classification tests focus on classifying respondents in different proficiency groups (e.g., for pass/fail decisions). To date, adaptive classification testing has been dominated by research on dichotomous response formats and classifications in two groups. This article extends this line of research to polytomous classification…
Descriptors: Test Length, Computer Assisted Testing, Classification, Test Items
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Adelson, Jill L.; McCoach, D. Betsy – Educational and Psychological Measurement, 2010
The purpose of this study was to compare how students in Grades 3 to 6 respond to a mathematics attitudes instrument with a 4-point Likert-type scale compared with one with an additional neutral point (a 5-point Likert-type scale). The 606 participating students from six elementary and middle schools randomly received either the 4-point or 5-point…
Descriptors: Elementary School Students, Student Attitudes, Likert Scales, Measures (Individuals)
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Cizek, Gregory J.; Bowen, Daniel; Church, Keri – Educational and Psychological Measurement, 2010
This study followed up on previous work that examined the incidence of reporting evidence based on test consequences in "Mental Measurements Yearbook". In the present study, additional possible outlets for what has been called "consequential validity" evidence were investigated, including all articles published in the past 10 years in several…
Descriptors: Educational Research, Educational Assessment, Psychological Testing, Followup Studies
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Luttrell, Vickie R.; Callen, Bruce W.; Allen, Charles S.; Wood, Mark D.; Deeds, Donald G.; Richard, David C. S. – Educational and Psychological Measurement, 2010
The goal of this study was to develop a self-report inventory that measures individual differences in the perceived value of mathematical literacy for general education students. The Mathematics Value Inventory (MVI) is grounded in the Eccles et al. model of achievement-related choices and surveys students' beliefs in four areas: interest, general…
Descriptors: General Education, Social Desirability, High Achievement, Numeracy
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Teo, Timothy – Educational and Psychological Measurement, 2010
This article describes the development, validation, and measurement invariance of scores from a survey designed to measure preservice teachers' reported acceptance of technology. Drawing from conceptual models in the areas of information systems and technology acceptance, a five-factor Technology Acceptance Measure for Preservice Teachers (TAMPST)…
Descriptors: Preservice Teachers, Computer Attitudes, Attitude Measures, Test Validity
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Belov, Dmitry I.; Armstrong, Ronald D. – Educational and Psychological Measurement, 2009
The recent literature on computerized adaptive testing (CAT) has developed methods for creating CAT item pools from a large master pool. Each CAT pool is designed as a set of nonoverlapping forms reflecting the skill levels of an assumed population of test takers. This article presents a Monte Carlo method to obtain these CAT pools and discusses…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Banks, Test Items
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Cadiz, David; Sawyer, John E.; Griffith, Terri L. – Educational and Psychological Measurement, 2009
Research on knowledge transfer in organizations has been hampered by the lack of tools yielding valid scores for studying critical constructs in concert. The authors developed survey measures of absorptive capacity (the ability to transform new knowledge into usable knowledge) and experienced community of practice (the extent to which a person is…
Descriptors: Test Validity, Path Analysis, Factor Analysis, Test Construction
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Lei, Pui-Wa; Wu, Qiong; DiPerna, James C.; Morgan, Paul L. – Educational and Psychological Measurement, 2009
Currently, few measures are available to monitor young children's progress in acquiring key early academic skills. In response to this need, the authors have begun developing measures (i.e., the Early Arithmetic, Reading and Learning Indicators, or EARLI) of preschoolers' numeracy skills. To accurately and efficiently monitor acquisition of early…
Descriptors: Preschool Children, Measures (Individuals), Numeracy, Emergent Literacy
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Vasilyeva, Marina; Ludlow, Larry H.; Casey, Beth M.; Onge, Caroline St. – Educational and Psychological Measurement, 2009
This article introduces the Measurement Skills Assessment (MeSA), which was designed to evaluate the mastery of measurement in elementary school students. The primary objectives for the MeSA include covering a broad range of measurement concepts, distinguishing between major subtypes of measurement, and constructing a continuum of items varying in…
Descriptors: Elementary School Students, Psychometrics, Measurement Techniques, Measures (Individuals)
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