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Computer aided field editing in the DHS context: the Turkey experiment
Nufusbilim Dergisi
|January 1, 1994
Summary
Computer-aided field editing significantly improves data quality compared to manual methods. This approach helps field editors quickly identify errors, particularly in skip patterns, enhancing the accuracy of demographic and health surveys.
Area of Science:
- Demography
- Public Health
- Survey Methodology
Background:
- Manual editing in surveys is time-consuming and prone to errors, especially with complex skip patterns.
- Ensuring data accuracy in large-scale surveys like the Turkey Demographic and Health Survey is crucial for reliable population health insights.
Purpose of the Study:
- To compare the effectiveness of computer-aided field editing versus manual field editing.
- To evaluate the impact of each editing method on identifying errors in survey data.
Main Methods:
- The study involved two groups of field editors during the Turkey Demographic and Health Survey.
- One group utilized notebook computers for computer-aided field editing, while the other used standard manual editing techniques.
Main Results:
- Computer-aided field editing was consistently more effective than manual editing.
- The computer-aided approach enabled field editors to rapidly detect instances where interviewers incorrectly followed skip instructions.
Conclusions:
- Field editing assisted by notebook computers offers superior data quality compared to traditional manual methods.
- Implementing computer-aided field editing can enhance the accuracy and efficiency of demographic and health surveys.
