Data Standardization, Coding and Preparation for Analysis (Survey Data)
Covers standardizing survey data with code lists, a data dictionary and versioning rules and preparing it for analysis.
Training content
- Code lists
- Category tree
- Data dictionary
- Open-ended response coding
- Missing value strategy
- Data cleaning
- Raw–clean–final data separation and versioning
At the end of this training, participants
- Will be able to code survey data to institutional standards and make it ready for analysis processes.
- Will be able to make data use consistent across teams by creating a category tree and a data dictionary.
- Will be able to make qualitative data reportable by systematically coding open-ended responses.
- Will be able to improve data quality by tying missing value and inconsistency management to defined rules.
- Will be able to ensure traceability and ease of auditing by separating and versioning raw, clean and final datasets.
In this way, the path to analysis will be tied to an institutional production standard.