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  • Data quality

    How R can be used to use concepts and techniques for managing sources of error. Programming and data analysis course with hands-on exercises

Entry levelLive

Event details

Max. participants 10
Registration is open until 16.11.2023 - 23:59 o'clock
Start date 30.11.2023 - 15:00 o'clock
End date 01.12.2023 - 16:00 o'clock
Price 150 Euro

Prof. Dr. Uwe Engel

(Managing Director)

Uwe Engel is a professor in the Social Sciences department at the University of Bremen, where he headed the Chair of Statistics and Empirical Social Research for more than twenty years from 2000 until his retirement in autumn 2020. In 2007 he founded the Social Science Methods Centre at the University of Bremen and headed it until 2020. Uwe Engel has been teaching statistical methods at universities for students from a wide range of disciplines for more than forty years.  

Even if all the formal rules for drawing conclusions from data are followed, those conclusions can still be severely compromised by poor data quality. The reasons for this typically lie in selectively distorted selections, missing values and measurement errors. The course familiarizes with these sources of error, introduces the concepts and techniques used to solve them, and shows how these concepts and techniques can be practically applied using R and R libraries. It will be treated: Unit and item nonresponse and related missing data techniques (imputation methods and weighting procedures), random and systematic measurement error and related solutions (systematic replication, sensitivity analysis, latent variable analysis), management of selective data through the combination of probability and non-probability selections.

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