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Comparing the accuracy and speed of four data-checking methods.

Kimberly A Barchard¹, Andrew J Freeman², Elizabeth Ochoa²

¹University of Nevada Las Vegas, Las Vegas, NV, USA. kim.barchard@unlv.edu.

Behavior Research Methods

|March 13, 2019

Summary

This summary is machine-generated.

Double entry is the most accurate data-checking method, but solo read aloud is faster and still effective. Researchers should consider solo read aloud when double entry is not feasible for data accuracy.

Keywords:

Data checking Data entry Double entry Read aloud Visual checking

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Area of Science:

Data Management
Research Methodology
Information Science

Background:

Accurate data entry is crucial for research integrity.
Traditional methods like double entry are time-consuming.
Alternative data-checking methods require evaluation for efficiency and accuracy.

Purpose of the Study:

To compare the accuracy and speed of four data-checking methods: double entry, solo read aloud, partner read aloud, and visual checking.
To investigate the potential of solo read aloud as a faster alternative to double entry.
To identify potential improvements for the double-entry method.

Main Methods:

Deliberately introduced errors into 20 data sheets.
Assigned 412 undergraduates to locate and correct errors using one of four methods.
Measured the speed and accuracy of error detection and correction for each method.

Main Results:

Double entry demonstrated significantly higher accuracy than all other methods.
Solo read aloud was faster than double entry but less accurate.
Solo read aloud showed higher accuracy than partner read aloud and visual checking for certain data types.

Conclusions:

Double entry remains the gold standard for data accuracy.
Solo read aloud is a viable, faster alternative when double entry is not practical.
Potential improvements for double entry include focusing on matching original data sheets rather than just entries.