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Rindermann, Heiner; Ceci, Stephen J. – Journal for the Education of the Gifted, 2018
In 19 (sub)samples from seven countries (United States, Austria, Germany, Costa Rica, Ecuador, Vietnam, Brazil), we analyzed the impact of parental education compared with wealth on the cognitive ability of children (aged 4-22 years, total N = 15,297). The background of their families ranged from poor indigenous remote villagers to academic…
Descriptors: Parent Background, Educational Attainment, Parent Child Relationship, Intelligence
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McFarland, Joel; Hussar, Bill; de Brey, Cristobal; Snyder, Tom; Wang, Xiaolei; Wilkinson-Flicker, Sidney; Gebrekristos, Semhar; Zhang, Jijun; Rathbun, Amy; Barmer, Amy; Bullock Mann, Farrah; Hinz, Serena – National Center for Education Statistics, 2017
"The Condition of Education 2017" is a congressionally mandated annual report summarizing the latest data on education in the United States. This report is designed to help policymakers and the public monitor educational progress. This year's report includes 50 indicators on topics ranging from prekindergarten through postsecondary…
Descriptors: Educational Indicators, Preschool Education, Elementary Secondary Education, Postsecondary Education
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Stephens, Maria; Warren, Laura K.; Harner, Ariana L. – National Center for Education Statistics, 2015
The "Comparative Indicators of Education" report series has been published on a biennial basis since it began in 2002, although this year's is the first to expand its focus to the G-20 countries, having previously been focused on the G-8 countries. "Comparative Indicators of Education in the United States and Other G-20 Countries:…
Descriptors: Foreign Countries, Educational Indicators, Global Approach, International Assessment
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Huang, Hung-Yu; Wang, Wen-Chung – Educational and Psychological Measurement, 2014
In the social sciences, latent traits often have a hierarchical structure, and data can be sampled from multiple levels. Both hierarchical latent traits and multilevel data can occur simultaneously. In this study, we developed a general class of item response theory models to accommodate both hierarchical latent traits and multilevel data. The…
Descriptors: Item Response Theory, Hierarchical Linear Modeling, Computation, Test Reliability
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DeMars, Christine E. – International Journal of Testing, 2013
This tutorial addresses possible sources of confusion in interpreting trait scores from the bifactor model. The bifactor model may be used when subscores are desired, either for formative feedback on an achievement test or for theoretically different constructs on a psychological test. The bifactor model is often chosen because it requires fewer…
Descriptors: Test Interpretation, Scores, Models, Correlation