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DATA CLEANING - ACAPS

+ data CLEANING April 2016 Dealing with messy data Table of Contents Introduction .. 0 A. The data CLEANING Process .. 0 B. Sources of Error .. 1 C. First Things First .. 2 D. Screening data .. 2 E. Diagnosing data .. 4 F. Treatment of data .. 4 G. Missing Values .. 5 H. Documenting Changes .. 6 I. Adapt Process .. 7 J. Recoding Variables .. 7 K. Quality Control Procedures .. 9 L. data Integration .. 10 M. Key Principles for data CLEANING .. 10 N. Tools and Tutorials for data CLEANING .. 11 O. Sources and Background Readings .. 11 Annex 1 Checklist for data CLEANING .. 13 Annex 2 Sample Job Description .. 15 Introduction No matter how data are collected (in face-to-face interviews, telephone interviews, self-administered questionnaires, etc.)

The following sections of this document offer a step by step approach to data cleaning. C. First Things First . The first thing to do is to make a copy of the original data in a separate workbook and name the sheets appropriately, or save in a new file. ALWAYS keep the source files in a separate folder and

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