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No Child Left Behind Act 20011
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Showing 1 to 15 of 44 results Save | Export
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Yangmeng Xu; Stefanie A. Wind – Educational Measurement: Issues and Practice, 2025
Double-scoring constructed-response items is a common but costly practice in mixed-format assessments. This study explored the impacts of Targeted Double-Scoring (TDS) and random double-scoring procedures on the quality of psychometric outcomes, including student achievement estimates, person fit, and student classifications under various…
Descriptors: Academic Achievement, Psychometrics, Scoring, Evaluation Methods
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Madeline A. Schellman; Matthew J. Madison – Grantee Submission, 2024
Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…
Descriptors: Diagnostic Tests, Classification, Models, Psychometrics
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Furter, Robert T.; Dwyer, Andrew C. – Applied Measurement in Education, 2020
Maintaining equivalent performance standards across forms is a psychometric challenge exacerbated by small samples. In this study, the accuracy of two equating methods (Rasch anchored calibration and nominal weights mean) and four anchor item selection methods were investigated in the context of very small samples (N = 10). Overall, nominal…
Descriptors: Classification, Accuracy, Item Response Theory, Equated Scores
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McCloskey, George – Journal of Psychoeducational Assessment, 2017
This commentary will take an historical perspective on the Kaufman Test of Educational Achievement (KTEA) error analysis, discussing where it started, where it is today, and where it may be headed in the future. In addition, the commentary will compare and contrast the KTEA error analysis procedures that are rooted in psychometric methodology and…
Descriptors: Achievement Tests, Error Patterns, Comparative Analysis, Psychometrics
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Mckenney, Elizabeth L. W.; Dorencz, Julie; Bristol, Ryan M.; Hall, Lacey P. – Psychology in the Schools, 2015
Recent years have seen a rise in the number of students identified with autism spectrum disorder (ASD), with increasing estimates of prevalence still emerging from cohorts monitored by the Centers for Disease Control and Prevention. However, dissemination to a school psychology audience about these students' needs has been disparate, with…
Descriptors: School Psychology, Periodicals, Journal Articles, Autism
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Iacobucci, Dawn – Journal of Marketing Education, 2013
This research investigates the reliability and validity of three major publications' rankings of MBA programs. Each set of rankings showed reasonable consistency over time, both at the level of the overall rankings and for most of the facets from which the rankings are derived. Each set of rankings also showed some levels of convergent and…
Descriptors: Psychometrics, Business Administration Education, Reliability, Validity
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Bertelli, Marco; Scuticchio, Daniela; Ferrandi, Angela, Lassi, Stefano; Mango, Francesco; Ciavatta, Claudio; Porcelli, Cesare; Bianco, Annamaria; Monchieri, Sergio – Research in Developmental Disabilities: A Multidisciplinary Journal, 2012
SPAID (Psychiatric Instrument for the Intellectually Disabled Adult) is the first Italian tool-package for carrying out psychiatric diagnosis in adults with Intellectual Disabilities (ID). It includes the "G" form, for general diagnostic orientation, and specific checklists for all groups of syndromes stated by the available…
Descriptors: Personality Problems, Self Control, Mental Retardation, Autism
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Kubinger, Klaus D.; Rasch, Dieter; Yanagida, Takuya – Educational Research and Evaluation, 2011
Though calibration of an achievement test within psychological and educational context is very often carried out by the Rasch model, data sampling is hardly designed according to statistical foundations. However, Kubinger, Rasch, and Yanagida (2009) recently suggested an approach for the determination of sample size according to a given Type I and…
Descriptors: Sample Size, Simulation, Testing, Achievement Tests
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Pothos, Emmanuel M.; Bailey, Todd M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2009
Naive observers typically perceive some groupings for a set of stimuli as more intuitive than others. The problem of predicting category intuitiveness has been historically considered the remit of models of unsupervised categorization. In contrast, this article develops a measure of category intuitiveness from one of the most widely supported…
Descriptors: Classification, Intuition, Mathematical Models, Prediction
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Clanchy, Kelly M.; Tweedy, Sean M.; Boyd, Roslyn – Developmental Medicine & Child Neurology, 2011
Aim: This systematic review compares the validity, reliability, and clinical use of habitual physical activity (HPA) performance measures in adolescents with cerebral palsy (CP). Method: Measures of HPA across Gross Motor Function Classification System (GMFCS) levels I-V for adolescents (10-18y) with CP were included if at least 60% of items…
Descriptors: Metabolism, Physical Activities, Cerebral Palsy, Adolescents
Center for Mental Health in Schools at UCLA, 2011
This brief (1) defines indicators, (2) places the concept into the context of the various ways indicators can be used in education, (3) explores some specific considerations and concerns that arise in evaluating results, (4) offers a categorization and examples of short-term outcome indicators for school use, and (5) stresses the need for policy…
Descriptors: Educational Policy, Educational Indicators, Evaluation Methods, Educational Assessment
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Kennedy, Brianna L.; Datnow, Amanda – Youth & Society, 2011
Existing literature supports the inclusion of students in education reform, documenting benefits for both students and educators. When student voice is not included in reform efforts, these efforts are more likely to flounder. The emerging educational reform of data-driven decision making (DDDM) offers promise for increasing student achievement.…
Descriptors: Classification, Educational Change, Decision Making, Data
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Richmond, Gail; Merritt, Brett; Urban-Lurain, Mark; Parker, Joyce – CBE - Life Sciences Education, 2010
Recent science education reform has been marked by a shift away from a focus on facts toward deep, rich, conceptual understanding. This requires assessment that also focuses on conceptual understanding rather than recall of facts. This study outlines our development of a new assessment framework and tool--a taxonomy--which, unlike existing…
Descriptors: Scientific Concepts, Molecular Biology, Educational Change, Cytology
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von Davier, Matthias – Measurement: Interdisciplinary Research and Perspectives, 2009
In this commentary, the author points out few issues, one being that there are models mislabeled as diagnostic, which deal with linear decompositions of item difficulties rather than estimating multidimensional skill variables. The author discusses the issue that there are many new names for essentially well-known models for multiple simultaneous…
Descriptors: Test Items, Probability, Models, Diagnostic Tests
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Hancock, Gregory R. – Measurement: Interdisciplinary Research and Perspectives, 2009
As Rupp and Templin (2008) stated directly, diagnostic classification methods "are confirmatory in nature." Methods, though, are neither inherently confirmatory nor exploratory. Diagnostic classification modeling, with its analytical and computational obstacles eventually yielding as a comprehensive and potent discipline emerges, will…
Descriptors: Structural Equation Models, Test Items, Models, Diagnostic Tests
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