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Bartolucci, Francesco; Pennoni, Fulvia; Vittadini, Giorgio – Journal of Educational and Behavioral Statistics, 2023
In order to evaluate the effect of a policy or treatment with pre- and post-treatment outcomes, we propose an approach based on a transition model, which may be applied with multivariate outcomes and accounts for unobserved heterogeneity. This model is based on potential versions of discrete latent variables representing the individual…
Descriptors: Causal Models, Multivariate Analysis, Markov Processes, Human Capital
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Tan, Cheng Yong; Hew, Khe Foon – Educational Studies, 2017
The present study examined how access to home and school IT resources impacted student mathematics achievement. Data comprised 144,395 secondary school students from 7,308 schools in 22 developed economies who participated in the Programme for International Student Assessment (PISA) 2012. Results of hierarchical linear modelling showed that after…
Descriptors: Access to Computers, Educational Technology, Technology Uses in Education, Mathematics Achievement
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Baird, Katherine – Education Economics, 2012
This paper investigates achievement gaps between low and high socioeconomic students in 19 high-income countries. On average, math scores of students with indicators of high socioeconomic status (SES) are over one standard deviation above those with low SES indicators. The paper estimates the extent to which these achievement gaps can be…
Descriptors: Mathematics Achievement, Achievement Gap, Socioeconomic Status, Educational Resources
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Paletta, Angelo – Educational Management Administration & Leadership, 2011
The conceptual categories that underlie the business analysis of intellectual capital are relevant to providing an explanation of school performance. By gathering data on student learning, this research provides empirical evidence for the use of school results as an accurate indicator of the effectiveness of the management of public education.…
Descriptors: Foreign Countries, Evidence, Accountability, Public Education