Research
Discover the latest article collections
This special issue presents results of the PIAAC study regarding socio-economic differences such as education and gender. Results imply recommendations for policy actions to approach problems associated with skill inequality.
Causal inferences with cross-sectional large scale assessment data
Researchers and policy makers in education want to know if anything can be done to improve achievement overall and for particular groups of test takers. This, in turn, has motivated interest in making connections between a host of potential causes and achievement.
Articles
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Research
Skills, earnings, and employment: exploring causality in the estimation of returns to skills
Published on: 26 April 2017
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Short report
PIAAC: a new design for a new era
Published on: 18 April 2017
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Research
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Research
Coverage of the migrant population in large-scale assessment surveys. Experiences from PIAAC in Germany
Published on: 1 March 2017
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Research
Data fusion with international large scale assessments: a case study using the OECD PISA and TALIS surveys
Published on: 16 September 2013
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Research
On the use of rotated context questionnaires in conjunction with multilevel item response models
Published on: 16 September 2013
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Research
Multiple imputation using chained equations for missing data in TIMSS: a case study
Published on: 16 September 2013
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The relationship between students’ self-assessed reading skills and other measures of achievement
Published on: 16 September 2013
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Research
The acquisition of problem solving competence: evidence from 41 countries that math and science education matters
Published on: 10 December 2014
2017
Results, methodological aspects and advancements of the Programme for the International Assessment of Adult Competencies (PIAAC)
This special issue presents results of the PIAAC study regarding socio-economic differences such as education and gender. Results imply recommendations for policy actions to approach problems associated with skill inequality.
Edited by Anja Perry, Débora B. Maehler, Beatrice Rammstedt
Collection published: 31 January 2017
2016
Causal inferences with cross-sectional large scale assessment data
Researchers and policy makers in education want to know if anything can be done to improve achievement overall and for particular groups of test takers. This, in turn, has motivated interest in making connections between a host of potential causes and achievement.
Edited by: Prof. Leslie Rutkowski
Collection published: 3 February 2016
IERI Monograph Series Archive
Large-scale Assessments in Education was published from 2008 to 2012 as the "IERI Monograph Series". Archive content of the IERI Monograph Series is available online at ierinstitute.org/dissemination-area.html
Aims and scope
Large-scale Assessments in Education is a joint publication of the International Association for the Evaluation of Educational Achievement (IEA) and Educational Testing Service (ETS). The articles in this journal contribute to the science of large-scale assessments, help disseminate state-of-the-art information about empirical research using these databases and make the results available to policy makers and researchers around the world.
Articles suitable for publication in the journal focus on improving the science of large-scale assessments and make use of data collected by programs, such as: IEA’s TIMSS, PIRLS, ICCS, and SITES; U.S.-NAEP; OECD’s PISA, PIAAC and TALIS; IALS, ALL and others. If you have questions or concerns about whether your article adheres to the purpose of this journal, please contact the editors directly.
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