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Forschungsmethoden und Erkenntnispotential Natur- und Sozialwissenschaften im Vergleich

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  • Mayntz, Renate

Abstract

Alle Wissenschaften, die nachprüfbare Aussagen über reale Phänomene machen wollen, müssen in der Lage sein, diese zu erfassen. In vielen naturwissenschaftlichen Forschungsgebieten hat der ständige Fortschritt in der Mess- und Beobachtungstechnik zu einer kumulativen Wissensentwicklung geführt. In den Sozialwissenschaften hat es dagegen aufgrund der Beschaffenheit ihrer Erkenntnisobjekte nur vergleichsweise geringe technisch bedingte Fortschritte bei ihrem beobachtenden und messenden Erfassen gegeben. Hier findet der Wissensfortschritt deshalb weniger durch immer tiefenschärferes Beobachten und genaueres Messen als im Bereich der Datenauswertung und der theoretischen Interpretation statt. Dabei spielt moderne Forschungstechnik in Gestalt des Computers eine wichtige Rolle. Da der Computer auch in den Naturwissenschaften schwergewichtig bei der Auswertung empirischer Daten eingesetzt wird, hat diese Form der Forschungstechnik heute für den Erkenntnisfortschritt in Natur- und Sozialwissenschaften eine vergleichbar große Bedeutung.

Suggested Citation

  • Mayntz, Renate, 2005. "Forschungsmethoden und Erkenntnispotential Natur- und Sozialwissenschaften im Vergleich," MPIfG Discussion Paper 05/7, Max Planck Institute for the Study of Societies.
  • Handle: RePEc:zbw:mpifgd:057
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    1. repec:cup:apsrev:v:82:y:1988:i:04:p:1245-1260_19 is not listed on IDEAS
    2. Nigel Gilbert & Andreas Pyka & Petra Ahrweiler, 2001. "Innovation Networks - a Simulation Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(3), pages 1-8.
    3. Timur Kuran, 1989. "Sparks and prairie fires: A theory of unanticipated political revolution," Public Choice, Springer, vol. 61(1), pages 41-74, April.
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