Data analysis
The data analysis used statistical methods to get out of collected data information to win.
- The descriptive data analysis describes the data of a selected sample or, in the case of a total survey, the data of the population by means of key figures or graphical representation.
- The inferential data analysis uses the collected sample to draw conclusions about the properties of the non-collected population.
- The exploratory data analysis is the discovery of relationships between different variables.
- The context-based data analysis is used to discover constellations in content-related data.
Statistical data analysis is an integral part of many areas of daily life. This ranges from survey research and prospective clinical studies to analyzes of latent relationships in very large databases (data mining).
Often and increasingly, percentages are used as arguments and relevant data is presented that does not always meet the criteria of a profound and reliable data analysis. Simple manual mistakes are made here again and again.
Bortz and Schuster (2010) give a good and easily understandable introduction; Eid et al. (2011) with the qualification as a standard work in many scientific disciplines.
literature
- Literature on data analysis in the catalog of the German National Library
- Gabler Verlag (Ed.): Gabler Wirtschaftslexikon. Keyword: data analysis
- Bortz, J. Schuster, C. (2010). Statistics for human and social scientists (7th edition). Heidelberg: Springer Medicine Verlag
- Eid, M. Gollwitzer M., Schmitt, M. (2011). Statistics and research methods. Weinheim: Beltz
- http://www.wissenschaftliche-beratung.com/Statistische_Datenanalyse/10_typische_Fehler_bei_der_Datenanalyse.pdf