Table of contents

  1. Front Matter
    Pages i-vii
  2. Débora B. Maehler, Beatrice Rammstedt
    Pages 1-6 Open Access
  3. Irwin Kirsch, Kentaro Yamamoto, Lale Khorramdel
    Pages 7-26 Open Access
  4. Lale Khorramdel, Matthias von Davier, Eugenio Gonzalez, Kentaro Yamamoto
    Pages 27-47 Open Access
  5. Débora B. Maehler, Ingo Konradt
    Pages 49-91 Open Access
  6. Emily Pawlowski, Jaleh Soroui
    Pages 93-115 Open Access
  7. Andres Sandoval-Hernandez, Diego Carrasco
    Pages 117-148 Open Access
  8. François Keslair
    Pages 149-164 Open Access
  9. Paul Bailey, Michael Lee, Trang Nguyen, Ting Zhang
    Pages 209-237 Open Access
  10. Frank Goldhammer, Carolin Hahnel, Ulf Kroehne
    Pages 239-269 Open Access
  11. Jessica Daikeler, Britta Gauly, Matthias Rosenthal
    Pages 271-290 Open Access

About this book


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.


PIAAC data Large-scale assessment Data analysis Plausible values International comparison Key cognitive skills Literacy of adult population Numeracy of adult population Analysis with PIAAC datasets Stata R software Open access

Editors and affiliations

  1. 1.Survey Design and MethodologyGESIS – Leibniz Institute for the Social SciencesMannheimGermany
  2. 2.Survey Design and MethodologyGESIS – Leibniz Institute for the Social SciencesMannheimGermany

Bibliographic information