Large-Scale Cognitive Assessment: Analyzing PIAAC Data (Methodology of Educational Measurement and Assessment)

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. Front Matter ....Pages i-vii Large-Scale Assessment in Education: Analysing PIAAC Data (Débora B. Maehler, Beatrice Rammstedt)....Pages 1-6 Design and Key Features of the PIAAC Survey of Adults (Irwin Kirsch, Kentaro Yamamoto, Lale Khorramdel)....Pages 7-26 Plausible Values: Principles of Item Response Theory and Multiple Imputations (Lale Khorramdel, Matthias von Davier, Eugenio Gonzalez, Kentaro Yamamoto)....Pages 27-47 Adult Cognitive and Non-cognitive Skills: An Overview of Existing PIAAC Data (Débora B. Maehler, Ingo Konradt)....Pages 49-91 Analysing PIAAC Data with the International Data Explorer (IDE) (Emily Pawlowski, Jaleh Soroui)....Pages 93-115 Analysing PIAAC Data with the IDB Analyzer (SPSS and SAS) (Andres Sandoval-Hernandez, Diego Carrasco)....Pages 117-148 Analysing PIAAC Data with Stata (François Keslair)....Pages 149-164 Analysing PIAAC Data with Structural Equation Modelling in Mplus (Ronny Scherer)....Pages 165-208 Using EdSurvey to Analyse PIAAC Data (Paul Bailey, Michael Lee, Trang Nguyen, Ting Zhang)....Pages 209-237 Analysing Log File Data from PIAAC (Frank Goldhammer, Carolin Hahnel, Ulf Kroehne)....Pages 239-269 Linking PIAAC Data to Individual Administrative Data: Insights from a German Pilot Project (Jessica Daikeler, Britta Gauly, Matthias Rosenthal)....Pages 271-290