Teaching and statistical training.

Autor/in	Rendtel, Ulrich
Titel	Teaching and statistical training. Gefälligkeitsübersetzung: Lehre und statistische Ausbildung.
Quelle	Aus: Building on progress. Expanding the research infrastructure for the social, economic and behavioral sciences. Vol. 1. Opladen: B. Budrich (2010) S. 251-264 PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; gedruckt; Sammelwerksbeitrag
ISBN	978-3-940755-58-2
URN	urn:nbn:de:0111-opus-35736
Schlagwörter	Sozioökonomisches Panel; Lehre; Datenbank; Altersversorgung; Versicherung; Ausbildung; Hochschulbildung; Studium; Sozialwissenschaften; Studiengang; Wirtschaftswissenschaft; Master-Studiengang; Bachelor-Studiengang; Amtliche Statistik; Daten; Statistische Methode; Wirtschaftsstatistik; Intranet; Institut für Arbeitsmarkt- und Berufsforschung; Wissenschaftler; Deutschland
Abstract	"The availability of well-educated researchers is necessary for the fruitful analysis of social and economic data. The increased data offer made possible by the creation of the Research Data Centers has resulted in an increased demand for PhD students at the master's or Diplom levels. Especially in economics, where we find intense competition among the various individual subjects within the course of study, survey statistics has not been very successful in laying claim to a substantial proportion of the coursework and training. The situation is more favorable in sociology faculties. This article argues that the creation of new CAMPUS-Files would help foster statistical education by providing Public Use Files covering a wider range of subjects. It also presents some suggestions for new CAMPUS-Files along these lines. Additionally, it argues for the establishment of master's programs in survey statistics to increase the availability of well-trained statisticians. An outline of such a master's program is presented and current PhD programs are evaluated with respect to training in survey statistics. Training courses are also offered outside the university that promote the use of new datasets as well as expanding the knowledge of new statistical methods or methods that lie outside standard education. These training courses are organized by the Research Data Centers, (i.e. the data producers), the Data Service Centers, or by GESIS (Leibniz Institute for the Social Sciences). The current tendency to strengthen ties and collaborate with universities should be supported by making it possible to earn academic credit for such courses." (author's abstract).
Erfasst von	GESIS - Leibniz-Institut für Sozialwissenschaften, Mannheim
Update	2011/3