Research Data Center PIAAC at GESIS. (2023). Analysis Scripts in Large-Scale Assessments in Education: Scripts based on PIAAC data. (Methods Series). Köln: GESIS - Leibniz-Institut für Sozialwissenschaften. https:// doi.org/10.21241/ssoar.85846
Compared with other social science data, the large-scale PIAAC data are very complex, which makes them difficult to analyze without prior knowledge. For example, they contain multiple competence estimates per person (10 plausible values) and a different number of weighting factors per country, which must be taken into account in the analyses. In this context, applying the appropriate analytical method and the available calculation procedures is a challenge, especially for early career researchers, as it is time-consuming and can be a significant source of error in published results.
The aims of the present Methods Series launched by the Research Data Center PIAAC at GESIS are (a) to improve the accessibility of knowledge in keeping with the principle of open science (see, e.g., the Open Science Framework/OSF or the German Data Forum [RatSWD]); (b) to increase the sustainability of scientific work by documenting processes, thereby enabling them to be replicated by other researchers; and (c) to guide (early-career) researchers in their data analyses. Collecting and making available existing analysis scripts based on previous research with PIAAC data is one way of achieving these aims.