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Showing 1 to 15 of 18 results Save | Export
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Zehner, Fabian; Harrison, Scott; Eichmann, Beate; Deribo, Tobias; Bengs, Daniel; Andersen, Nico; Hahnel, Carolin – International Educational Data Mining Society, 2020
The "2nd Annual WPI-UMASS-UPENN EDM Data Mining Challenge" required contestants to predict efficient testtaking based on log data. In this paper, we describe our theory-driven and psychometric modeling approach. For feature engineering, we employed the Log-Normal Response Time Model for estimating latent person speed, and the Generalized…
Descriptors: Data Analysis, Competition, Classification, Prediction
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von Davier, Matthias – Measurement: Interdisciplinary Research and Perspectives, 2018
This article critically reviews how diagnostic models have been conceptualized and how they compare to other approaches used in educational measurement. In particular, certain assumptions that have been taken for granted and used as defining characteristics of diagnostic models are reviewed and it is questioned whether these assumptions are the…
Descriptors: Criticism, Psychometrics, Diagnostic Tests, Educational Assessment
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von Davier, Matthias – ETS Research Report Series, 2016
This report presents results on a parallel implementation of the expectation-maximization (EM) algorithm for multidimensional latent variable models. The developments presented here are based on code that parallelizes both the E step and the M step of the parallel-E parallel-M algorithm. Examples presented in this report include item response…
Descriptors: Psychometrics, Mathematics, Models, Statistical Analysis
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Rojahn, Johannes; Rick-Betancourt, Brittney; Barnard-Brak, Lucy; Moore, Linda – Journal of Mental Health Research in Intellectual Disabilities, 2017
Background: The Adult Scale of Hostility and Aggression (A-SHARP) rating scale assesses the frequency/severity (problem scale) and the reactive-proactive motivation (provocation scale) of aggressive behaviors in adults with intellectual disabilities (ID). Items are assigned to five subscales (Verbal Aggression, Physical Aggression, Hostile Affect,…
Descriptors: Adults, Rating Scales, Aggression, Intellectual Disability
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Chen, Fu; Yan, Yue; Xin, Tao – Educational Psychology, 2017
The current study focuses on developing the learning progression of number sense for primary school students, and it applies a cognitive diagnostic model, the rule space model, to data analysis. The rule space model analysis firstly extracted nine cognitive attributes and their hierarchy model from the analysis of previous research and the…
Descriptors: Numeracy, Learning Processes, Elementary School Students, Foreign Countries
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Renshaw, Tyler L. – Journal of Psychoeducational Assessment, 2017
The present study reports on an investigation of the generalizability of the technical adequacy of the Positive Experience at School Scale (PEASS) with a sample of students (N = 1,002) who differed substantially in age/grade level (i.e., adolescents in middle school as opposed to children in elementary school) and ethnic identity (i.e., majority…
Descriptors: Measures (Individuals), Student Experience, Adolescents, Middle School Students
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Eckes, Thomas – Language Testing, 2017
This paper presents an approach to standard setting that combines the prototype group method (PGM; Eckes, 2012) with a receiver operating characteristic (ROC) analysis. The combined PGM-ROC approach is applied to setting cut scores on a placement test of English as a foreign language (EFL). To implement the PGM, experts first named learners whom…
Descriptors: English (Second Language), Language Tests, Cutting Scores, Standard Setting (Scoring)
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Papageorgiou, Spiros; Morgan, Rick; Becker, Valerie – International Journal of Testing, 2015
The purpose of this study was to enhance the meaning of the scores of an English-language test by developing performance levels and descriptors for reporting overall test performance. The levels and descriptors were intended to accompany the total scale scores of TOEFL Junior® Standard, an international test of English as a second/foreign…
Descriptors: Language Proficiency, Language Tests, English (Second Language), Second Language Learning
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Gierl, Mark J.; Lai, Hollis – International Journal of Testing, 2012
Automatic item generation represents a relatively new but rapidly evolving research area where cognitive and psychometric theories are used to produce tests that include items generated using computer technology. Automatic item generation requires two steps. First, test development specialists create item models, which are comparable to templates…
Descriptors: Foreign Countries, Psychometrics, Test Construction, Test Items
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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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Verheyen, Steven; De Deyne, Simon; Dry, Matthew J.; Storms, Gert – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
A contrast category effect on categorization occurs when the decision to apply a category term to an entity not only involves a comparison between the entity and the target category but is also influenced by a comparison of the entity with 1 or more alternative categories from the same domain as the target. Establishing a contrast category effect…
Descriptors: Foreign Countries, Stimuli, Classification, Models
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Stormont, Melissa; Herman, Keith C.; Reinke, Wendy M.; King, Kathleen R.; Owens, Sarah – School Psychology Quarterly, 2015
The purpose of the study was to explore the effectiveness of a brief, feasible, and cost-effective universal screener for kindergarten readiness. The study examined whether teacher ratings of kindergarteners' academic, behavioral, and overall readiness at the beginning of the year were predictive of academic, emotional, and behavioral outcomes at…
Descriptors: Kindergarten, School Readiness, Statistical Analysis, Regression (Statistics)
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Comer, Jonathan S.; Roy, Amy K.; Furr, Jami M.; Gotimer, Kristin; Beidas, Rinad S.; Dugas, Michel J.; Kendall, Philip C. – Psychological Assessment, 2009
Intolerance of uncertainty (IU) has contributed to our understanding of excessive worry and adult anxiety disorders, but there is a paucity of research on IU in child samples. This gap is due to the absence of a psychometrically sound measure of IU in youth. The present study adapted parallel child- and parent-report forms of the Intolerance of…
Descriptors: Validity, Behavior Disorders, Measures (Individuals), Psychometrics
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Rupp, Andre A.; Templin, Jonathan L. – Measurement: Interdisciplinary Research and Perspectives, 2008
"Diagnostic classification models" (DCM) are frequently promoted by psychometricians as important modelling alternatives for analyzing response data in situations where multivariate classifications of respondents are made on the basis of multiple postulated latent skills. In this review paper, a definitional boundary of the space of DCM…
Descriptors: Factor Analysis, Classification, Item Response Theory, Psychometrics
Lang, W. Steve – Online Submission, 2008
The INTASC Principles, when used as the basis for developing appropriate measurement instruments to assess teacher dispositions, provide a viable approach to the diagnosis and remediation of skill-related affective performance in teacher candidates and also to meeting NCATE requirements for Standard 1. In this symposium, the development and use of…
Descriptors: Computer Software, Teacher Education Programs, Rating Scales, Measurement
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