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Chen, Huilin; Chen, Jinsong – Language Assessment Quarterly, 2016
Cognitive diagnosis models (CDMs) are psychometric models developed mainly to assess examinees' specific strengths and weaknesses in a set of skills or attributes within a domain. By adopting the Generalized-DINA model framework, the recently developed general modeling framework, we attempted to retrofit the PISA reading assessments, a…
Descriptors: Reading Tests, Diagnostic Tests, Models, Test Items
Achtenhagen, Frank; Winther, Esther – Journal of Vocational Education and Training, 2014
As a consequence of the large-scale assessment studies (TIMMS; PISA) in compulsory schooling, attention is now being given to the modelling and measurement of competencies in initial vocational education and training. This new output-led perspective of teaching/training and learning/working processes demands new approaches to research. Using the…
Descriptors: Vocational Education, Business Administration Education, Comparative Education, Global Approach
Cartwright, Fernando – OECD Publishing (NJ1), 2012
This study examines the feasibility of reporting scores of a test based on the Programme for International Student Assessment (PISA) 2000 instrument that was administered to a sample of 25-year-old Youth in Transition Survey (YITS) respondents on the PISA scale. Each of these respondents also participated in PISA 2000. The study examines the…
Descriptors: Foreign Countries, Foreign Students, Reading Achievement, Reading Skills
Lennon, Marylou; Kirsch, Irwin; Von Davier, Matthias; Wagner, Michael; Yamamoto, Kentaro – Educational Testing Service, 2003
This report presents the findings of a study conducted to explore the feasibility of developing and delivering an assessment of information and communication technology (ICT) literacy for the Programme for International Student Assessment (PISA). The study was conducted at the request of an expert panel convened by Network A and was funded in…
Descriptors: Foreign Countries, Feasibility Studies, Program Development, Delivery Systems