TY - BOOK ID - 65313629 TI - Large-Scale Cognitive Assessment : Analyzing PIAAC Data AU - Maehler, Débora B. AU - Rammstedt, Beatrice. PY - 2020 SN - 3030475158 303047514X PB - Springer Nature DB - UniCat KW - Assessment. KW - Statistics . KW - Education—Economic aspects. KW - International education . KW - Comparative education. KW - Assessment, Testing and Evaluation. KW - Statistics for Social Sciences, Humanities, Law. KW - Education Economics. KW - International and Comparative Education. KW - Education, Comparative KW - Education KW - Global education KW - Intellectual cooperation KW - Internationalism KW - Statistical analysis KW - Statistical data KW - Statistical methods KW - Statistical science KW - Mathematics KW - Econometrics KW - History KW - Assessment, Testing and Evaluation KW - Statistics for Social Sciences, Humanities, Law KW - Education Economics KW - International and Comparative Education KW - Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy KW - PIAAC data KW - Large-scale assessment KW - Data analysis KW - Plausible values KW - International comparison KW - Key cognitive skills KW - Literacy of adult population KW - Numeracy of adult population KW - Analysis with PIAAC datasets KW - Stata KW - R software KW - Open access KW - Education: examinations & assessment KW - Social research & statistics KW - Economics of specific sectors UR - https://www.unicat.be/uniCat?func=search&query=sysid:65313629 AB - This open access methodological book summarises existing analysing techniques using data from PIAAC, a study initiated by the OECD that assesses key cognitive and occupational skills of the adult population in more than 40 countries. The approximately 65 PIAAC datasets that has been published worldwide to date has been widely received and used by an interdisciplinary research community. Due to the complex structure of the data, analyses with PIAAC datasets are very challenging. To ensure the quality and significance of these data analyses, it is necessary to instruct users in the correct handling of the data. This methodological book provides a standardised approach to successfully implementing these data analyses. It contains examples of and tools for the analysis of the PIAAC data using different statistical approaches and software, and it offers perspectives from various disciplines. The contributing authors have hands-on experience of using PIAAC data, and/or they have conducted data analysis workshops with these data. ER -