Competency information
Details
Conduct data handling and data management.
Considerations
- How to manipulate, manage and quality assure data within a data set:
- variables – types, numeric formats, decimals, date and time, string
- getting data into and out of programmes
- documentation commands – labels
- calculations – generate and replace, recoding, checking correctness, missing data
- data structure – selecting observations and variables, renaming and reordering, sorting, collapsing data, combining files
- folders, filenames, variable names, error prevention.
- How to assure data quality:
- completeness, accuracy, validity, accuracy, timeliness, consistency
- data validation
- data dictionaries, standards and coding.
Relevant learning outcomes
# | Outcome |
---|---|
# 3 | Outcome Collate and manage the data and prepare the data set for analysis. |