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Scott, Marc A.; Diakow, Ronli; Hill, Jennifer L.; Middleton, Joel A. – Grantee Submission, 2018
We are concerned with the unbiased estimation of a treatment effect in the context of non-experimental studies with grouped or multilevel data. When analyzing such data with this goal, practitioners typically include as many predictors (controls) as possible, in an attempt to satisfy ignorability of the treatment assignment. In the multilevel…
Descriptors: Statistical Bias, Computation, Comparative Analysis, Hierarchical Linear Modeling
Lucangeli, Daniela; Fastame, Maria Chiara; Pedron, Martina; Porru, Annamaria; Duca, Valeria; Hitchcott, Paul Kenneth; Penna, Maria Pietronilla – ZDM: The International Journal on Mathematics Education, 2019
Even in primary school, mathematics achievement depends upon the efficiency of cognitive, metacognitive and self-regulatory processes. Thus, for pupils to carry out a computation, such as a written calculation, metacognitive mechanisms play a crucial role, since children must employ self-regulation to assess the precision of their own thinking and…
Descriptors: Elementary School Students, Mathematics Instruction, Mathematics Achievement, Efficiency
Pokropek, Artur – Journal of Educational and Behavioral Statistics, 2016
A response model that is able to detect guessing behaviors and produce unbiased estimates in low-stake conditions using timing information is proposed. The model is a special case of the grade of membership model in which responses are modeled as partial members of a class that is affected by motivation and a class that responds only according to…
Descriptors: Reaction Time, Models, Guessing (Tests), Computation
Sella, Francesco; Berteletti, Ilaria; Lucangeli, Daniela; Zorzi, Marco – Developmental Psychology, 2015
In the number-to-position task, with increasing age and numerical expertise, children's pattern of estimates shifts from a biased (nonlinear) to a formal (linear) mapping. This widely replicated finding concerns symbolic numbers, whereas less is known about other types of quantity estimation. In Experiment 1, Preschool, Grade 1, and Grade 3…
Descriptors: Computation, Numbers, Preschool Children, Grade 1
Re, Anna Maria; Pedron, Martina; Tressoldi, Patrizio Emanuele; Lucangeli, Daniela – Exceptional Children, 2014
The purpose of this study was to determine the efficacy of specific, individualized training for students with different levels of mathematical difficulties. Fifty-four students, with either severe or mild math difficulties, were assigned to individualized training or to a control condition. Ten students with severe math difficulties…
Descriptors: Mathematics Instruction, Individualized Instruction, Mathematics Skills, Learning Disabilities
Battistin, Erich; Miniaci, Raffaele; Weber, Guglielmo – Journal of Human Resources, 2003
In this paper, we use two complementary Italian data sources (the 1995 ISTAT and Bank of Italy household surveys) to generate household-specific nondurable expenditure in the Bank of Italy sample that contains relatively high-quality income data. We show that food expenditure data are of comparable quality and informational content across the two…
Descriptors: Expenditures, Data, Prediction, Foreign Countries
Lun, G.; Holzer, D.; Tappeiner, G.; Tappeiner, U. – Social Indicators Research, 2006
The calculation of composite indicators and the derivation of respective rankings is a common method used to benchmark countries or regions. However, although the statistical robustness of these rankings is often criticised, they often still spark off heated political debate. Here, we assess the sensitivity of the province ranking published by the…
Descriptors: Quality of Life, Computation, Robustness (Statistics), Comparative Analysis
Ferrari, Marcella; Palladino, Paola – Journal of Learning Disabilities, 2007
A group of seventh- and eighth-grade Italian students with low achievement (LA) in learning English as a foreign language (FL) was selected and compared to a group with high achievement (HA) in FL learning. The two groups were matched for age and nonverbal intelligence. Two experiments were conducted to examine the participants' verbal and…
Descriptors: High Risk Students, Low Achievement, High Achievement, Second Language Learning

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