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DeMars, Christine E. – Educational and Psychological Measurement, 2016
Partially compensatory models may capture the cognitive skills needed to answer test items more realistically than compensatory models, but estimating the model parameters may be a challenge. Data were simulated to follow two different partially compensatory models, a model with an interaction term and a product model. The model parameters were…
Descriptors: Item Response Theory, Models, Thinking Skills, Test Items
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Bates, Michael David; Castellano, Katherine E.; Rabe-Hesketh, Sophia; Skrondal, Anders – Journal of Educational and Behavioral Statistics, 2014
This article discusses estimation of multilevel/hierarchical linear models that include cluster-level random intercepts and random slopes. Viewing the models as structural, the random intercepts and slopes represent the effects of omitted cluster-level covariates that may be correlated with included covariates. The resulting correlations between…
Descriptors: Correlation, Hierarchical Linear Modeling, Regression (Statistics), Statistical Bias
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Hedges, Larry V.; Borenstein, Michael – Journal of Educational and Behavioral Statistics, 2014
The precision of estimates of treatment effects in multilevel experiments depends on the sample sizes chosen at each level. It is often desirable to choose sample sizes at each level to obtain the smallest variance for a fixed total cost, that is, to obtain optimal sample allocation. This article extends previous results on optimal allocation to…
Descriptors: Experiments, Research Design, Sample Size, Correlation
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Hedberg, E. C.; Hedges, L. V.; Kuyper, A. M. – Society for Research on Educational Effectiveness, 2015
Randomized experiments are generally considered to provide the strongest basis for causal inferences about cause and effect. Consequently randomized field trials have been increasingly used to evaluate the effects of education interventions, products, and services. Populations of interest in education are often hierarchically structured (such as…
Descriptors: Randomized Controlled Trials, Hierarchical Linear Modeling, Correlation, Computation
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Zakszeski, Brittany N.; Hojnoski, Robin L.; Wood, Brenna K. – Topics in Early Childhood Special Education, 2017
Classroom engagement is important to young children's academic and social development. Accurate methods of capturing this behavior are needed to inform and evaluate intervention efforts. This study compared the accuracy of interval durations (i.e., 5 s, 10 s, 15 s, 20 s, 30 s, and 60 s) of momentary time sampling (MTS) in approximating the…
Descriptors: Intervals, Time, Sampling, Learner Engagement
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Gürbüz, Ramazan; Erdem, Emrullah – Cogent Education, 2016
Mental computation and mathematical reasoning are two intertwined top-level mental activities. In deciding which strategy to use when doing mental computing, mathematical reasoning is essential. From this reciprocal influence, the current study aims at examining the relationship between mental computation and mathematical reasoning. The study was…
Descriptors: Mathematical Logic, Thinking Skills, Mathematical Aptitude, Mental Computation
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Pfaffel, Andreas; Schober, Barbara; Spiel, Christiane – Practical Assessment, Research & Evaluation, 2016
A common methodological problem in the evaluation of the predictive validity of selection methods, e.g. in educational and employment selection, is that the correlation between predictor and criterion is biased. Thorndike's (1949) formulas are commonly used to correct for this biased correlation. An alternative approach is to view the selection…
Descriptors: Comparative Analysis, Correlation, Statistical Bias, Maximum Likelihood Statistics
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Peeters, Dominique; Degrande, Tine; Ebersbach, Mirjam; Verschaffel, Lieven; Luwel, Koen – European Journal of Psychology of Education, 2016
This study tested whether second graders use benchmark-based strategies when solving a number line estimation (NLE) task. Participants were assigned to one of three conditions based on the availability of benchmarks provided on the number line. In the bounded condition, number lines were only bounded at both sides by 0 and 200, while the midpoint…
Descriptors: Computation, Grade 2, Elementary School Students, Problem Solving
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Padilla, Miguel A.; Veprinsky, Anna – Educational and Psychological Measurement, 2014
Correlation attenuation due to measurement error and a corresponding correction, the deattenuated correlation, have been known for over a century. Nevertheless, the deattenuated correlation remains underutilized. A few studies in recent years have investigated factors affecting the deattenuated correlation, and a couple of them provide alternative…
Descriptors: Correlation, Sampling, Statistical Inference, Computation
Weiss, Michael J.; Lockwood, J. R.; McCaffrey, Daniel F. – MDRC, 2014
In many experimental evaluations in the social and medical sciences, individuals are randomly assigned to a treatment arm or a control arm of the experiment. After treatment assignment is determined, individuals within one or both experimental arms are frequently grouped together (e.g., within classrooms or schools, through shared case managers,…
Descriptors: Error of Measurement, Randomized Controlled Trials, Correlation, Computation
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Singer, Vivian; Strasser, Katherine; Cuadro, Ariel – Journal of Educational Psychology, 2019
In the present study, we explored how linguistic skills (phonological and semantic) influence the multiple components of school arithmetic (numeration, computation, and word problems) by analyzing them sequentially. We studied a sample of 262 schoolchildren, aged 8 to 11, nested in 27 classrooms, using the following measures: semantic skills,…
Descriptors: Language Skills, Phonological Awareness, Semantics, Arithmetic
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Delgado, Cesar; Jones, M. Gail; You, Hye Sun; Robertson, Laura; Chesnutt, Katherine; Halberda, Justin – International Journal of Science Education, 2017
Crosscutting concepts such as "scale, proportion, and quantity" are recognised by U.S. science standards as a potential vehicle for students to integrate their scientific and mathematical knowledge; yet, U.S. students and adults trail their international peers in scale and measurement estimation. Culturally based knowledge of scale such…
Descriptors: Scaling, Number Systems, Public Schools, Grade 7
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Monroe, Scott; Cai, Li – Educational Measurement: Issues and Practice, 2015
Student growth percentiles (SGPs, Betebenner, 2009) are used to locate a student's current score in a conditional distribution based on the student's past scores. Currently, following Betebenner (2009), quantile regression (QR) is most often used operationally to estimate the SGPs. Alternatively, multidimensional item response theory (MIRT) may…
Descriptors: Item Response Theory, Reliability, Growth Models, Computation
Porter, Kristin E. – MDRC, 2016
In education research and in many other fields, researchers are often interested in testing the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time, or across multiple treatment groups. The resulting multiplicity of statistical hypothesis tests can lead to spurious findings of effects. Multiple…
Descriptors: Statistical Analysis, Program Effectiveness, Intervention, Hypothesis Testing
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Ismail, Yilmaz – International Journal of Educational Administration and Policy Studies, 2017
This study reveals the transformation of prospective science teachers into knowledgeable individuals through classical, combination, and information theories. It distinguishes between knowledge and success, and between knowledge levels and success levels calculated each through three theories. The relation between the knowledge of prospective…
Descriptors: Correlation, Preservice Teachers, Science Teachers, Cognitive Ability
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