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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 368 results
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Lai, Emily R.; Wolfe, Edward W.; Vickers, Daisy – Educational and Psychological Measurement, 2015
This report summarizes an empirical study that addresses two related topics within the context of writing assessment--illusory halo and how much unique information is provided by multiple analytic scores. Specifically, we address the issue of whether unique information is provided by analytic scores assigned to student writing, beyond what is…
Descriptors: Writing Tests, Scores, Bias, Holistic Approach
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Dowdy, Erin; Nylund-Gibson, Karen; Felix, Erika D.; Morovati, Diane; Carnazzo, Katherine W.; Dever, Bridget V. – Educational and Psychological Measurement, 2014
The practice of screening students to identify behavioral and emotional risk is gaining momentum, with limited guidance regarding the frequency with which screenings should occur. Screening frequency decisions are influenced by the stability of the constructs assessed and changes in risk status over time. This study investigated the 4-year…
Descriptors: Screening Tests, Risk, Behavior Disorders, Emotional Disturbances
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Mashburn, Andrew J.; Meyer, J. Patrick; Allen, Joseph P.; Pianta, Robert C. – Educational and Psychological Measurement, 2014
Observational methods are increasingly being used in classrooms to evaluate the quality of teaching. Operational procedures for observing teachers are somewhat arbitrary in existing measures and vary across different instruments. To study the effect of different observation procedures on score reliability and validity, we conducted an experimental…
Descriptors: Observation, Teacher Evaluation, Reliability, Validity
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Attali, Yigal – Educational and Psychological Measurement, 2014
This article presents a comparative judgment approach for holistically scored constructed response tasks. In this approach, the grader rank orders (rather than rate) the quality of a small set of responses. A prior automated evaluation of responses guides both set formation and scaling of rankings. Sets are formed to have similar prior scores and…
Descriptors: Responses, Item Response Theory, Scores, Rating Scales
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Jin, Ying; Myers, Nicholas D.; Ahn, Soyeon – Educational and Psychological Measurement, 2014
Previous research has demonstrated that differential item functioning (DIF) methods that do not account for multilevel data structure could result in too frequent rejection of the null hypothesis (i.e., no DIF) when the intraclass correlation coefficient (?) of the studied item was the same as the ? of the total score. The current study extended…
Descriptors: Test Bias, Correlation, Scores, Comparative Analysis
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McArdle, John J.; Hamagami, Fumiaki; Bautista, Randy; Onoye, Jane; Hishinuma, Earl S.; Prescott, Carol A.; Takeshita, Junji; Zonderman, Alan B.; Johnson, Ronald C. – Educational and Psychological Measurement, 2014
In this study, we reanalyzed the classic Hawai'i Family Study of Cognition (HFSC) data using contemporary multilevel modeling techniques. We used the HFSC baseline data ("N" = 6,579) and reexamined the factorial structure of 16 cognitive variables using confirmatory (restricted) measurement models in an explicit sequence. These…
Descriptors: Factor Analysis, Hierarchical Linear Modeling, Data Analysis, Structural Equation Models
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von Eye, Alexander; Wiedermann, Wolfgang – Educational and Psychological Measurement, 2014
Approaches to determining direction of dependence in nonexperimental data are based on the relation between higher-than second-order moments on one side and correlation and regression models on the other. These approaches have experienced rapid development and are being applied in contexts such as research on partner violence, attention deficit…
Descriptors: Statistical Analysis, Factor Analysis, Structural Equation Models, Correlation
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Jones, W. Paul – Educational and Psychological Measurement, 2014
A study in a university clinic/laboratory investigated adaptive Bayesian scaling as a supplement to interpretation of scores on the Mini-IPIP. A "probability of belonging" in categories of low, medium, or high on each of the Big Five traits was calculated after each item response and continued until all items had been used or until a…
Descriptors: Personality Traits, Personality Measures, Bayesian Statistics, Clinics
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Shaw, Emily J.; Marini, Jessica P.; Mattern, Krista D. – Educational and Psychological Measurement, 2013
The current study evaluated the relationship between various operationalizations of the Advanced Placement[R] (AP) exam and course information with first-year grade point average (FYGPA) in college to better understand the role of AP in college admission decisions. In particular, the incremental validity of the different AP variables, above…
Descriptors: Advanced Placement Programs, Grade Point Average, College Freshmen, College Admission
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Raykov, Tenko; Pohl, Steffi – Educational and Psychological Measurement, 2013
A method for examining common factor variance in multiple-component measuring instruments is outlined. The procedure is based on an application of the latent variable modeling methodology and is concerned with evaluating observed variance explained by a global factor and by one or more additional component-specific factors. The approach furnishes…
Descriptors: Statistical Analysis, Factor Structure, Scores, Models
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Casabianca, Jodi M.; McCaffrey, Daniel F.; Gitomer, Drew H.; Bell, Courtney A.; Hamre, Bridget K.; Pianta, Robert C. – Educational and Psychological Measurement, 2013
Classroom observation of teachers is a significant part of educational measurement; measurements of teacher practice are being used in teacher evaluation systems across the country. This research investigated whether observations made live in the classroom and from video recording of the same lessons yielded similar inferences about teaching.…
Descriptors: Secondary School Mathematics, Mathematics Instruction, Classroom Observation Techniques, Algebra
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Yang, Ji Seung; Hansen, Mark; Cai, Li – Educational and Psychological Measurement, 2012
Traditional estimators of item response theory scale scores ignore uncertainty carried over from the item calibration process, which can lead to incorrect estimates of the standard errors of measurement (SEMs). Here, the authors review a variety of approaches that have been applied to this problem and compare them on the basis of their statistical…
Descriptors: Item Response Theory, Scores, Statistical Analysis, Comparative Analysis
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Kobrin, Jennifer L.; Kim, YoungKoung; Sackett, Paul R. – Educational and Psychological Measurement, 2012
There is much debate on the merits and pitfalls of standardized tests for college admission, with questions regarding the format (multiple-choice vs. constructed response), cognitive complexity, and content of these assessments (achievement vs. aptitude) at the forefront of the discussion. This study addressed these questions by investigating the…
Descriptors: Grade Point Average, Standardized Tests, Predictive Validity, Predictor Variables
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Moses, Tim; Kim, Sooyeon – Educational and Psychological Measurement, 2012
In this study, a ranking strategy was evaluated for comparing subgroups' change using identical, equated, and nonidentical measures. Four empirical data sets were evaluated, each of which contained examinees' scores on two occasions, where the two occasions' scores were obtained on a single identical measure, on two equated tests, and on two…
Descriptors: Testing, Change, Scores, Measures (Individuals)
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Thomas, D. Roland; Zumbo, Bruno D. – Educational and Psychological Measurement, 2012
There is such doubt in research practice about the reliability of difference scores that granting agencies, journal editors, reviewers, and committees of graduate students' theses have been known to deplore their use. This most maligned index can be used in studies of change, growth, or perhaps discrepancy between two measures taken on the same…
Descriptors: Statistical Analysis, Reliability, Scores, Change
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