DEVELOPMENT OF A GENERAL PREDICTION METHOD FOR TRANSCRIPTION ERROR RATE.
Technical rept. 16 Jan-30 Jun 67,
FMC CORP SANTA CLARA CALIF MACHINERY/SYSTEMS GROUP
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This study develops a General Prediction Method GPM for estimating the human error rate in a data transcription system. It also indicates the nature of the relationships between error rate and the significant determinants, and it specifies the relative importance of these relationships. Correlation and stepwise regression analyses are performed on data gathered in previous laboratory experiments in obtaining the desired results. The following factors are investigated for their influence on human error rate Operator Age, Education, and Occupation Transcription Methods Code Length, Content, Mix, and Repetition Code Blocking and Order Grouping within Codes Response Format and Duration of Work Period. The following factors have the greatest influence Code Length, Content, Transcription Method, and Repetition. The following have less influence Sex, Age, Occupation, Duration of Work Period, Response Format, Education, Grouping within Codes, Code Blocking and Order. It is recommended that the GPM be validated by application to operational data systems and refinement made in operational settings where those factors found relatively unimportant in this study would be eliminated enabling easier application of the GPM. Author
- Human Factors Engineering and Man Machine Systems
- Non-Radio Communications