Sehr geehrte Damen und Herren, liebe Datennutzerinnen und Datennutzer,
mit diesem Newsletter möchten wir auf zwei Sessions hinweisen, die für Nutzerinnen und Nutzer der Daten des Forschungsdatenzentrum der Rentenversicherung interessant sein könnten:
Data Quality in Survey-administrative Linked Data:
Convenors: Tatjana Mika, Research Data Centre of the German Pension Fund, Berlin, and Stefan Bender, Institute for Employment Research (IAB), Nuremberg
Most quantitative longitudinal research in social sciences is done with survey data. Surveys suffer from non-response in many ways, for example, coverage errors, unit and item-non-response or attrition. In particular answers to retrospective questions often imply gaps or incomplete details of remembered episodes. In order to correct for these errors administrative data can be linked to survey data. However, administrative data have specific problems of their own which result sometimes from inaccurate or incomplete records. Furthermore, changes in legal or administrative conditions might cause systematic variation in administrative data which can be difficult to detect. Examples are periods of welfare state reforms like enlarged or restricted unemployment coverage in times of mass unemployment. Deviation of survey information from administrative data might in other cases nevertheless be justified by different measurement concepts (survey question vs. administrative procedure and/or logic). By linking the data, researchers hope to improve data quality by creating datasets that balance the disadvantages of the administrative and survey data using the advantages of these two different types of data. However, bringing together linked survey-admin data throws up complex and interesting methodological issues. The session is open for papers which address questions of data quality of linked survey/administrative data and/or inconsistencies between administrative and survey information.
Measuring Concepts for Social Bookkeeping Data Session
Convenors: Nina Baur,Technical University Berlin, and Pia Wagner, INCHER Kassel
When using research-elicited data, researchers can control and plan the research process in advance. In recent years, there has been much progress on optimizing and harmonizing measurement concepts for survey data and on developing procedures for minimizing TSE. For example, "Advances in Cross-National Comparison" (Hoffmeyer-Zlotnik & Wolf, eds., 2003) provides concrete guidelines for measuring various variables such as gender, age, ethnicity and education. In contrast, using social bookkeeping data (also public administrational data, quantitative/standardized process-produced/process-generated data, mass data or mass files) have been typically collected long before and for other purposes than social science analysis. How data are measured is usually defined by administrational procedures, and both these procedures and the mode of data collection may and do change over time. Moreover, the definitions are not necessarily the ones a researcher would use. Continuing the discussion started in Historical Social Research HSR 34 (3) in 2009, the session aims at exploring how specific variables can be appropriately measured under these circumstances and how this affects equivalence. The variables discussed can be either socio-demographic variables (e.g. gender, age, ethnicity, education, occupational and employment status), latent constructs (e.g. social class) or values. Papers can either illustrate this using a specific data set or comparing different data sets.
Both sessions take place at the
8th International Conference on Social Science Methodology (The University of Sydney, Sydney Australia, Monday July 9 - Friday July 13, 2012).
The call for abstracts of papers is open until December 1, 2011.
Abstracts will only be accepted through the online submission form, and submission in any other form will not be accepted (instructions will be on the conference website). Session convenors or the conference organisers will inform you of your abstract acceptance by December 19, 2011 and registrations will open on that date. The conference website provides information about the conference, including key dates and deadlines, and submission guidelines. You can sign up for regular updates and news about the conference on the website.
Conference Web site: http://rc33conference2012.acspri.org.au
Please direct any queries to: email@example.com
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Letzte Änderung: 23.11.2011