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@incollection{ Kirsch2020,
 title = {Design and Key Features of the PIAAC Survey of Adults},
 author = {Kirsch, Irwin and Yamamoto, Kentaro and Khorramdel, Lale},
 editor = {Maehler, Débora B. and Rammstedt, Beatrice},
 year = {2020},
 booktitle = {Large-Scale Cognitive Assessment: Analyzing PIAAC Data},
 pages = {7-26},
 series = {Methodology of Educational Measurement and Assessment},
 address = {Cham},
 publisher = {Springer},
 issn = {2367-1718},
 isbn = {978-3-030-47515-4},
 doi = {https://doi.org/10.1007/978-3-030-47515-4_2},
 abstract = {This chapter gives an overview of the most important features of the Programme for the International Assessment of Adult Competencies (PIAAC) survey as it pertains to two main goals. First, only a well-designed survey will lead to accurate and comparable test scores across different countries and languages both within and across assessment cycles. Second, only an understanding of its complex survey design will lead to proper use of the PIAAC data in secondary analyses and meaningful interpretation of results by psychometricians, data analysts, scientists, and policymakers. The chapter begins with a brief introduction to the PIAAC survey followed by an overview of the background questionnaire and the cognitive measures. The cognitive measures are then compared to what was assessed in previous international adult surveys. Key features of the assessment design are discussed followed by a section describing what could be done to improve future PIAAC cycles.},
 keywords = {secondary analysis; Erwachsener; international comparison; data; adult; kognitive Fähigkeit; measurement; questionnaire; cognitive ability; internationaler Vergleich; Sekundäranalyse; survey research; Messung; Umfrageforschung; Fragebogen; Daten}}