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Camilli, Gregory; Fox, Jean-Paul – Journal of Educational and Behavioral Statistics, 2015
An aggregation strategy is proposed to potentially address practical limitation related to computing resources for two-level multidimensional item response theory (MIRT) models with large data sets. The aggregate model is derived by integration of the normal ogive model, and an adaptation of the stochastic approximation expectation maximization…
Descriptors: Factor Analysis, Item Response Theory, Grade 4, Simulation
Huggins-Manley, Anne Corinne – Educational and Psychological Measurement, 2017
This study defines subpopulation item parameter drift (SIPD) as a change in item parameters over time that is dependent on subpopulations of examinees, and hypothesizes that the presence of SIPD in anchor items is associated with bias and/or lack of invariance in three psychometric outcomes. Results show that SIPD in anchor items is associated…
Descriptors: Psychometrics, Test Items, Item Response Theory, Hypothesis Testing
Recognition as Support for Reasoning about Horizontal Motion: A Further Resource for School Science?
Howe, Christine; Taylor Tavares, Joana; Devine, Amy – Research in Science & Technological Education, 2016
Background: Even infants can recognize whether patterns of motion are or are not natural, yet an acknowledged challenge for science education is to promote adequate reasoning about such patterns. Since research indicates linkage between the conceptual bases of recognition and reasoning, it seems possible that recognition can be engaged to support…
Descriptors: Science Education, Computer Simulation, Infants, Foreign Countries
Chou, Chin-Cheng – EURASIA Journal of Mathematics, Science & Technology Education, 2017
Elementary school remedial teaching has been promoted for many years in Taiwan but it has primarily been aimed at Chinese and mathematics with little attention being paid to natural sciences. Due to the current shortage of natural science teachers, along with limitations in school budget and manpower, it is difficult to put natural science…
Descriptors: Foreign Countries, Computer Simulation, Video Technology, Audience Response Systems
Jak, Suzanne; Oort, Frans J.; Dolan, Conor V. – Structural Equation Modeling: A Multidisciplinary Journal, 2013
We present a test for cluster bias, which can be used to detect violations of measurement invariance across clusters in 2-level data. We show how measurement invariance assumptions across clusters imply measurement invariance across levels in a 2-level factor model. Cluster bias is investigated by testing whether the within-level factor loadings…
Descriptors: Statistical Bias, Measurement, Structural Equation Models, Hierarchical Linear Modeling
Tapola, Anna; Jaakkola, Tomi; Niemivirta, Markku – Journal of Experimental Education, 2014
This study investigated changes in elementary school students' (n = 140) situational interest as a function of achievement goal orientation profiles and task characteristics. The authors repeatedly measured situational interest during a simulated science learning task in 2 task conditions that differed in the concreteness of the task elements. The…
Descriptors: Elementary School Students, Goal Orientation, Computer Simulation, Science Instruction
Zhang, Jinming – Applied Psychological Measurement, 2012
It is common to assume during a statistical analysis of a multiscale assessment that the assessment is composed of several unidimensional subtests or that it has simple structure. Under this assumption, the unidimensional and multidimensional approaches can be used to estimate item parameters. These two approaches are equivalent in parameter…
Descriptors: Simulation, Computation, Models, Statistical Analysis
Zamarro, Gema; Engberg, John; Saavedra, Juan Esteban; Steele, Jennifer – Journal of Research on Educational Effectiveness, 2015
This article investigates the use of teacher value-added estimates to assess the distribution of effective teaching across students of varying socioeconomic disadvantage in the presence of classroom composition effects. We examine, via simulations, how accurately commonly used teacher value-added estimators recover the rank correlation between…
Descriptors: Teacher Effectiveness, Disadvantaged Youth, Socioeconomic Influences, Socioeconomic Status
Harring, Jeffrey R.; Weiss, Brandi A.; Hsu, Jui-Chen – Psychological Methods, 2012
Two Monte Carlo simulations were performed to compare methods for estimating and testing hypotheses of quadratic effects in latent variable regression models. The methods considered in the current study were (a) a 2-stage moderated regression approach using latent variable scores, (b) an unconstrained product indicator approach, (c) a latent…
Descriptors: Structural Equation Models, Geometric Concepts, Computation, Comparative Analysis
Blair, Kristen Pilner – ProQuest LLC, 2009
Research addressing the effectiveness of feedback for learning has focused on many dimensions of feedback, including the timing (Kulik & Kulik, 1988), type (Mory, 2004), and amount of available information (Dempsey et. al, 1993). Much of the feedback research in education has tacitly assumed that the available information is perceived, and any…
Descriptors: Feedback (Response), Instructional Design, Error Correction, Computer Software
Zhang, Jinming – ETS Research Report Series, 2004
This paper extends the theory of conditional covariances to polytomous items. It has been mathematically proven that under some mild conditions, commonly assumed in the analysis of response data, the conditional covariance of two items, dichotomously or polytomously scored, is positive if the two items are dimensionally homogeneous and negative…
Descriptors: Test Items, Test Theory, Correlation, National Competency Tests
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries