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Nirmal Ghimire; Kouider Mokhtari – AERA Online Paper Repository, 2024
This study examined the predictive power of students' demographic characteristics, reading attitudes, school characteristics, and teacher-informed reading activities on three metacognitive reading skills: understanding and remembering, summarizing, and assessing credibility and their influence on 15-year-old students' reading scores. The dataset…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
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Tzung-Ruei Tsou – SAGE Open, 2024
The importance of family background in determining a student's academic achievement has long been acknowledged by researchers. Nonetheless, the effect of schooling on this relationship has also been widely investigated. Some studies have shown that family background plays a far stronger role while the effect of schooling is minimal; others have…
Descriptors: Foreign Countries, Family Characteristics, Academic Achievement, Institutional Characteristics
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Fatma Ünal; Hakan Kogar – International Journal of Assessment Tools in Education, 2024
The purpose of this study is to examine the effect of missing data imputation methods, namely regression imputation (RI), multiple imputation (MI) and k-nearest neighbor (kNN) on differential item functioning (DIF). In this regard, the datasets used in the research were created by deleting some of the data via the missing completely at random…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
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Bezek Güre, Özlem; Sevgin, Hikmet; Kayri, Murat – International Journal of Contemporary Educational Research, 2023
The research aims to determine the factors affecting PISA 2018 reading skills using the Random Forest and MARS methods and to compare their prediction abilities. This study used the information from 5713 students, 2838 (49.7%) male and 2875 (50.3%) female, in the PISA 2018 Turkey. The analysis shows the MARS method performed better than the Random…
Descriptors: Achievement Tests, International Assessment, Secondary School Students, Foreign Countries
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Klerides, Eleftherios – Journal of Education Policy, 2022
The article seeks to refine two central concepts in scholarly accounts of national policy responses to international data: 'selectivity' and 'instrumentalisation'. It does so by broadening, firstly, the empirical focus of research to include forms of international data other than the performance data of global learning metrics and international…
Descriptors: Public Policy, Educational Policy, Policy Formation, Foreign Countries
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Crome, Jennifer – Policy Futures in Education, 2022
In December 2019, the Organisation for Economic Co-operation and Development released the latest results of its triennial Programme for International Student Assessment (PISA) testing. What followed was a flurry of media reports in the participant countries about the 2018 PISA results that were interpretive rather than descriptive. Whilst there is…
Descriptors: International Assessment, Foreign Countries, Achievement Tests, Secondary School Students
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Blasius, Jörg – Quality Assurance in Education: An International Perspective, 2018
Purpose: Evidence from past surveys suggests that some interviewees simplify their responses even in very well-organized and highly respected surveys. This paper aims to demonstrate that some interviewers, too, simplify their task by at least partly fabricating their data, and that, in some survey research institutes, employees simplify their task…
Descriptors: Interviews, Data, Deception, Foreign Countries
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Charles Temple – Journal of Educational Sciences, 2024
The article explores the importance of early reading proficiency and its long-term impact on academic and life outcomes, particularly in Romania. Analyzing PISA data, the article highlights significant literacy gaps between advantaged and disadvantaged students, as well as urban and rural learners. These disparities perpetuate intergenerational…
Descriptors: Early Reading, Foreign Countries, Data, Literacy
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Sachse, Karoline A.; Mahler, Nicole; Pohl, Steffi – Educational and Psychological Measurement, 2019
Mechanisms causing item nonresponses in large-scale assessments are often said to be nonignorable. Parameter estimates can be biased if nonignorable missing data mechanisms are not adequately modeled. In trend analyses, it is plausible for the missing data mechanism and the percentage of missing values to change over time. In this article, we…
Descriptors: International Assessment, Response Style (Tests), Achievement Tests, Foreign Countries
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Yamamoto, Kentaro; Lennon, Mary Louise – Quality Assurance in Education: An International Perspective, 2018
Purpose: Fabricated data jeopardize the reliability of large-scale population surveys and reduce the comparability of such efforts by destroying the linkage between data and measurement constructs. Such data result in the loss of comparability across participating countries and, in the case of cyclical surveys, between past and present surveys.…
Descriptors: Measurement, Deception, Data, Identification
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Lewis, Steven – British Journal of Sociology of Education, 2018
This article examines emerging techniques of educational governance--based on time, difference and potential--enabled by the Organisation for Economic Cooperation and Development's PISA-based Test for Schools ('PISA for Schools'). I show how PISA for Schools facilitates the production of difference through comparative test data, allowing educators…
Descriptors: Achievement Tests, Secondary School Students, Foreign Countries, International Assessment
Australian Institute of Health and Welfare, 2015
The Australian Institute of Health and Welfare developed a national data standards strategy and implementation plan to enhance the comparability, quality and coherence of information across the Australian education and training sectors, including early childhood education, school education, vocational education and training (VET) and higher…
Descriptors: Foreign Countries, National Standards, Data, Program Implementation
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Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2018
Multiple imputation (MI) can be used to address missing data at Level 2 in multilevel research. In this article, we compare joint modeling (JM) and the fully conditional specification (FCS) of MI as well as different strategies for including auxiliary variables at Level 1 using either their manifest or their latent cluster means. We show with…
Descriptors: Statistical Analysis, Data, Comparative Analysis, Hierarchical Linear Modeling
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Smith, Peter K.; Lopez-Castro, Leticia – International Journal of Developmental Science, 2017
Until recently, there were four sources of large-scale self-report survey data on victim rates, cross-nationally: EU Kids Online, Global School Health Survey, Trends in International Mathematics and Science Study, and Health Behaviour of School-aged Children. Smith, Robinson, and Marchi (2016) examined the internal validity and external validity…
Descriptors: Bullying, Victims, Data, Foreign Countries
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Depaoli, Sarah; Clifton, James P.; Cobb, Patrice R. – Journal of Educational and Behavioral Statistics, 2016
A review of the software Just Another Gibbs Sampler (JAGS) is provided. We cover aspects related to history and development and the elements a user needs to know to get started with the program, including (a) definition of the data, (b) definition of the model, (c) compilation of the model, and (d) initialization of the model. An example using a…
Descriptors: Monte Carlo Methods, Markov Processes, Computer Software, Models
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