Written by Associate Professor of Evaluation, Statistics, and Measurement at the University of Tennessee, Jenifer Morrow, the Brief Introduction to the 12 steps to data cleaning is a slide presentation that provides a concise overview to the importance and processes of data cleaning for effective evaluation.
Contents
- Importance of data cleaning
- If we don't clean our data
- Create a data code book
- Create a data analysis plan
- Perform initial frequencies - Round 1
- Check for coding mistakes
- Modify and create variables
- Frequencies and descriptives - Round 2
- Search for outliers
- Assess for normality
- Dealing with missing data
- Examine cell sample size
- Frequencies and descriptives - The finale
- Assumption testing
- Some helpful resources
Source
Morrow, J 2013. Brief Introduction to Data Cleaning, University of Tennessee, Retrieved from http://www.slideshare.net/jamorrow/brief-introduction-to-the-12-steps-of-evaluagio
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