Grades at German Universities 1950 – 2010

Resource Type
Dataset : Survey and aggregate data
  • Müller-Benedict, Volker (Europa-Universität Flensburg,Interdisziplinäres Institut für Umwelt-, Sozial- und Humanwissenschaften. Abt. Zentrale Methodenlehre.)
  • Grözinger, Gerd (Europa-Universität Flensburg,Internationales Institut für Management und ökonomische Bildung. Abt. Sozial- und Bildungsökonomie.)
  • Gaens, Thomas (Europa-Universität Flensburg,Interdisziplinäres Institut für Umwelt-, Sozial- und Humanwissenschaften. Abt. Zentrale Methodenlehre.)
Publication Date
  • GESIS (Distributor)
  • GESIS (Hosting Institution)
  • ZA:
    • Historical Studies Data
  • CESSDA Topic Classification:
    • History
    • Education
Free Keywords
Schema: TheSoz
grading; examination; university
  • Abstract

    The goal of the DFG project ´The Grading at German Universities from the 1960s to today. Trends, differences, causes ´(MU 1625/7) was to examine whether there are systematic influences on the grade level of exam grades that are not based on the level of examiners´ performance. Such influence has been increasingly discussed in the last decade, the ´grade inflation´: the grade level is getting better and better without any performance improvement behind it. For analysis, long-term time series are necessary. That´s why exam grades (Diplom, Magister, 1. Staatsexamen) were collected for periods as far back as possible. By 1997, grades for nine core subjects were taken from individual examination papers in the university archives of eight universities. From this annual average grades were formed and stored in time series. From 1998, these time series were continued with the data on the examination statistics of the Federal Statistical Office, which from this point onwards covered all individual university examinations electronically. The evaluation shows stable, large differences between subjects, between universities in the same subject, as well as grade inflation and cyclical courses. Data tables in HISTAT: The N for forming the average scores for calculating inferential statistics, among others confidence intervals, are recorded separately. [N less than 4 are not specified for reasons of data protection].
Temporal Coverage
  • 1950 / 2010
Geographic Coverage
  • Germany. The Federal Republic of Germany between 1950 and 2010
Time Dimension
  • Time Series
Collection Mode
  • Aggregation
Data and File Information
  • Number of Variables: 155
A - Data and documents are released for academic research and teaching.
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Alternative Identifiers
  • ZA8622 (Type: ZA-No.)
  • 1 (Type: VerbundFDB)
  • Müller-Benedict, Volker, Grözinger, Gerd (Hrsg.): Noten an Deutschlands Hochschulen. Analysen zur Vergleichbarkeit von Examensnoten 1960 bis 2013. Springer-VS, 2017.

Update Metadata: 2020-10-21 | Issue Number: 17 | Registration Date: 2017-11-10