** English below // Abstracts at the end of this email **
Liebe Kolleg*innen,
gerne möchte ich Sie auf zwei Sonderveranstaltungen im Rahmen unserer GESIS-Reihe „Meet the Experts“ aufmerksam machen: „Meet the Data“ und „Meet the Editors“!
Das Meet-the-Data-Special „Introducing the Scientific Use File for PIAAC 2023 Germany” findet am Donnerstag, den 20. November, von 13:00 bis 14:30 Uhr statt.
Das Meet-the-Editors-Special „MDA – Lessons learned: Exploring the Methodological Choices, Challenges and Solutions in working with New Data Sources” findet am Donnerstag, 18.
Dezember, von 15:00 bis 16:30 Uhr (!) statt.
Weitere Informationen zu den Sonderveranstaltungen sowie zur Anmeldung (Zoom) finden Sie hier:
Meet the Experts - Expert*innen geben Einblicke in aktuelle Forschungsthemen
Im Namen des Meet the Experts-Team
Ayline Heller & Dorothée Behr
***
Dear colleagues,
We are excited to present to you this fall two specials of our GESIS Meet the Experts Series:
Meet the Data and Meet the Editors
The Meet the Data Special “Introducing the Scientific Use File for PIAAC 2023 Germany” will take place
Thursday, November 20th, 1-2:30pm, and a Meet the Editors Special “MDA – Lessons learned: Exploring the Methodological Choices, Challenges and Solutions in working with New Data Sources” will take place on
Thursday, December 18th, 3-4:30pm (!).
Further information on the special events and registration (Zoom) can be found here:
Meet the Experts - Expert Insights into current Research Topics
Your Meet the Experts Team
Ayline Heller & Dorothée Behr
***
Meet the Data: Introducing the Scientific Use File for PIAAC 2023 Germany
Natascha Massing,
Silke Martin and
Anouk Zabal
The second cycle of PIAAC, the Programme for the International Assessment of Adult Competencies, measured literacy, numeracy, and adaptive problem-solving skills of the adult population (aged 16 to 65) in 31 countries.
In addition to the cognitive data, PIAAC also collected data from a comprehensive background questionnaire.
The German team at GESIS recently published a Scientific Use File (SUF) with the German PIAAC 2023 data. This "Meet the Data" session offers an introduction to the German SUF data for all interested data users. The objective
is to provide you with general information on PIAAC, give an overview of the background questionnaire and its plethora of analytically interesting variables, and introduce the dataset, key tools, and documentation. We will go into some specifics of the German
data, for example the measurement of education, point out some particularities of the PIAAC data (e.g., structure, missing scheme, weighting concept, plausible values), and talk about similarities and differences between Cycles 1 and 2 of PIAAC and how this
impacts trend comparisons. This is the opportunity for you to interact with the data producers and address your questions directly.
Meet the editor:
Exploring the Methodological Choices, Challenges and Solutions in working with New Data Sources
Trent D. Buskirk, Rachel Gibson (Guest Editors) in conversation with authors.
This special session of the GESIS Meet the Experts format “Meet the Editor” is based on a Special Issue of the Journal mda that explores and promotes scholarly reflection and transparency on emerging best practices in
the collection, processing, analysis and sharing of new data sources within the research community. It is a topic of growing importance for quantitative social sciences given that social media and digital trace data as well as data collected from sensors are
now widely used in many areas of research. In large part, the appeal of these data is that they offer fresh insight into new and ongoing research questions and allow researchers access to ‘harder to reach’ geographies and populations. Notwithstanding their
appeal, these data can often be difficult to obtain due to platform restrictions, are subject to potentially multiple sources of unknown bias and require extensive curation and cleaning prior to analysis. In this special issue, we bring together a range of
papers that highlight the challenges and opportunities in working with these new and emerging digital trace data sources, and in particular the value they add when integrated with more traditional forms of data.
As well as showcasing papers that directly explore the ‘added’ value of these new data sources for investigating ongoing social science debates, the Special Issue incorporates an exciting new initiative in which authors
share with readers their reflections on the process of producing their published work. Through these so-called ‘reflective appendices’ our authors explicitly confront and interrogate the assumptions and processes that guided their analysis and explain where
and how these changed during the course of their research. Questions addressed include whether decisions regarding sampling frames and sizes were adjusted, if alternative forms of data were considered and adopted or discarded, whether the methodological and
analytical approaches designated at the start were modified in any way to adapt to issues in working with new data sources and what if any ‘lessons learned’ they would pass on to others in the field to improve the robustness of future studies seeking to exploit
these new forms of data. Longer term, we hope the Special Issue and particularly our authors’ reflective appendices serve to promote the ongoing shift toward embedding a more ‘open research’ culture within the social sciences.
The session will involve guest editors Trent D. Buskirk and Rachel Gibson and Special Issue authors in a discussion about how their work contributes to a better understanding the challenges and solutions in working with
new data sources, and what they perceive as the value of the reflective appendices both in relation to their own work but for the discipline more generally.
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Dr. Cornelia Neuert
(she/her) |
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Team lead Questionnaire Design & Evaluation |
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Survey Design & Methodology |
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B6, 4-5 |
68519 Mannheim |
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+49 (0) 621 1246 Extension
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You can find our information on data protection under https://www.gesis.org/en/institute/data-protection |