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Ji, Xuejun Ryan; Wu, Amery D. – Educational Measurement: Issues and Practice, 2023
The Cross-Classified Mixed Effects Model (CCMEM) has been demonstrated to be a flexible framework for evaluating reliability by measurement specialists. Reliability can be estimated based on the variance components of the test scores. Built upon their accomplishment, this study extends the CCMEM to be used for evaluating validity evidence.…
Descriptors: Measurement, Validity, Reliability, Models
How Grit-S Items Work in Measuring Growth: Focusing on Item Discrimination and Sensitivity to Change
Lim, Hyo Jin; Lee, Sora – Journal of Psychoeducational Assessment, 2023
This study investigates how sensitively the current grit measure (Grit-S) is able to reflect the differences between individuals (i.e. item discrimination) and change within individuals (i.e. sensitivity to change of items) using longitudinal data. Data from the Korean Children and Youth Panel Study 2018 of elementary (fourth grade) and middle…
Descriptors: Individual Differences, Change, Elementary School Students, Middle School Students
Qi Huang; Daniel M. Bolt; Weicong Lyu – Large-scale Assessments in Education, 2024
Large scale international assessments depend on invariance of measurement across countries. An important consideration when observing cross-national differential item functioning (DIF) is whether the DIF actually reflects a source of bias, or might instead be a methodological artifact reflecting item response theory (IRT) model misspecification.…
Descriptors: Test Items, Item Response Theory, Test Bias, Test Validity
Fenanlampir, Albertus; Leasa, Marleny; Batlolona, John Rafafy – International Journal of Evaluation and Research in Education, 2021
Many future studies have been developed by scientists today in the form of methods, models, strategies, and techniques in improving student learning outcomes that are oriented to psychology and the development of students' intelligence. One of the latest innovations in learning offered in this study is the homogeneity psycho cognition (HPC)…
Descriptors: Foreign Countries, Cognitive Processes, Physical Education, Teaching Methods
Sari, Mehmet Hayri; Herzog, Moritz; Olkun, Sinan; Fritz, Annemarie – International Electronic Journal of Mathematics Education, 2021
Research has shown that a profound place value understanding is crucial for success in learning mathematics. At the same time, a substantial number of students struggles with developing a sustainable place value understanding. In this regard, two aspects of the place value system appear especially relevant: First, the knowledge of the decimal…
Descriptors: Foreign Countries, Mathematics Instruction, Grade 2, Grade 3
Schulz, Andreas; Leuders, Timo; Rangel, Ulrike – Journal of Psychoeducational Assessment, 2020
We provide evidence of validity for a newly developed diagnostic competence model of operation sense, by both (a) describing the theoretically substantiated development of the competence model in close association with its use within a large-scale formative assessment and (b) providing empirical evidence for the theoretically described cognitive…
Descriptors: Diagnostic Tests, Models, Criterion Referenced Tests, Cognitive Measurement
Koerber, Susanne; Mayer, Daniela; Osterhaus, Christopher; Schwippert, Knut; Sodian, Beate – Child Development, 2015
The development of scientific thinking was assessed in 1,581 second, third, and fourth graders (8-, 9-, 10-year-olds) based on a conceptual model that posits developmental progression from naïve to more advanced conceptions. Using a 66-item scale, five components of scientific thinking were addressed, including experimental design, data…
Descriptors: Elementary School Students, Thinking Skills, Parent Background, Educational Attainment
Amrein-Beardsley, Audrey; Geiger, Tray – Phi Delta Kappan, 2017
Houston's experience with the Educational Value-Added Assessment System (R) (EVAAS) raises questions that other districts should consider before buying the software and using it for high-stakes decisions. Researchers found that teachers in Houston, all of whom were under the EVAAS gun, but who taught relatively more racial minority students,…
Descriptors: Value Added Models, School Districts, Computer Software, Educational Technology
Rhodes, Katherine T.; Branum-Martin, Lee; Morris, Robin D.; Romski, MaryAnn; Sevcik, Rose A. – American Journal on Intellectual and Developmental Disabilities, 2015
Although it is often assumed that mathematics ability alone predicts mathematics test performance, linguistic demands may also predict achievement. This study examined the role of language in mathematics assessment performance for children with intellectual disability (ID) at less severe levels, on the KeyMath-Revised Inventory (KM-R) with a…
Descriptors: Language Skills, Mathematics Skills, Intellectual Disability, Elementary School Students
Panayiotou, Anastasia; Kyriakides, Leonidas; Creemers, Bert P. M. – School Leadership & Management, 2016
This European project investigates the impact of the school factors included in the dynamic model of educational effectiveness on student achievement. In each participating country (Belgium/Flanders, Cyprus, Germany, Greece, Ireland and Slovenia), a sample of at least 50 schools was drawn and tests in mathematics and science were administered to…
Descriptors: Foreign Countries, School Effectiveness, Academic Achievement, Models
Hou, Likun – ProQuest LLC, 2013
Analyzing examinees' responses using cognitive diagnostic models (CDMs) have the advantages of providing richer diagnostic information. To ensure the validity of the results from these models, differential item functioning (DIF) in CDMs needs to be investigated. In this dissertation, the model-based DIF detection method, Wald-CDM procedure is…
Descriptors: Test Bias, Models, Cognitive Processes, Diagnostic Tests
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Kozina, Ana – Educational Studies, 2015
In this study, we analyse the predictive power of home and school environment-related factors for determining pupils' aggression. The multiple regression analyses are performed for fourth- and eighth-grade pupils based on the Trends in Mathematics and Science Study (TIMSS) 2007 (N = 8394) and TIMSS 2011 (N = 9415) databases for Slovenia. At the…
Descriptors: Aggression, Elementary Schools, Predictive Validity, Educational Environment
Tellings, Agnes; Coppens, Karien; Gelissen, John; Schreuder, Rob – Applied Psycholinguistics, 2013
Often, the classification of words does not go beyond "difficult" (i.e., infrequent, late-learned, nonimageable, etc.) or "easy" (i.e., frequent, early-learned, imageable, etc.) words. In the present study, we used a latent cluster analysis to divide 703 Dutch words with scores for eight word properties into seven clusters of words. Each cluster…
Descriptors: Vocabulary Development, Multivariate Analysis, Elementary School Students, Grade 2
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