UV9200 – Introduction to Data Management
This course focuses on common every-day tasks, operations, and practical problems an educational researcher might encounter when dealing with data. It will be discussed how planning and automation can reduce error-prone manual manipulations, and can ensure easy replication. Hence, proper data management is an essential element for good scientific practice.
A brief theory part will discuss the concept and types of educational data and the utility (and elements) of a data management plan when setting up and doing your research.
The larger hands-on part will focus on data cleaning strategies: including auditing procedures (i.e., detecting and handling inconsistencies and anomalies such as data entry errors) and restructuring (i.e., preparing data for efficient use in a specific statistical analysis or software).
This course combines lectures and computer practicals in R & SPSS. Knowledge and competences acquired in the course will be useful for quantitative research methodology and statistical analysis techniques in practice.
Literature: A reference-list will be provided
Course credits: 1 sp with documentation.
Organizer: CEMO (Centre for Educational Measurement at University of Oslo)
Responsible: Associate Professor Johan Braeken
Lecturer: Johan Braeken and Stephan Daus
Date: August 13-14, 2015
Location: Room 500, Niels Henrik Abels hus
Time: 09.00-16.00 both days
Duration: 12 hours
The final examination paper is practically oriented and will challenge the student's skills within practical computer-based exercises.