Who is the course for?

High quality datasets are essential for statistical analysis. This course introduces quantitative researchers, responsible for their own data collection, to techniques for preparing the final dataset used for analysis as well as maintaining a data manipulation audit trail to aid future research.

Attendees will be expected to be familiar with the use of spreadsheets for data entry, have an understanding of descriptive statistical concepts, and have experience using SPSS.

Course description

The course will be based on SPSS syntax programming in two sessions:

Morning session:

  • Theoretical overview of the data management process.
  • Explanation of the various data manipulation techniques in SPSS.

Afternoon session:

  • Practical on data manipulation techniques using SPSS syntax.

Learning objectives

By the end of the sessions participants will:

  • Understand mapping of statistical data types to computer data types.
  • Understand the importance of data entry validation.
  • Understand how to keep an audit trail of dataset preparation using SPSS syntax.
  • Be familiar with the use SPSS syntax for data manipulation.
  • Be familiar with documenting research datasets for future research purposes.

About the trainer

Bola Coker is the Senior Data Manager for the NIHR Guy’s and St Thomas’ Biomedical Research Centre (BRC). He is based in the King’s College London Department of Population Health Sciences Unit of Medical Statistics and is involved with statistical consultancy and teaching. He runs a team that provides services for the BRC in the areas of databases development, statistical data management and statistical programming.