Department

University of Tennessee at Chattanooga. Dept. of Psychology

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

Organizations lean more heavily on large quantities of data to base their decisions using analytics. However, analytics using big data relies heavily on data quality, which can be compromised by a lack of data variability. A major obstacle is the reduced variability in these reports due to the measurement culture of an organization. If employees perceive they may be reprimanded if near miss data is reported then they may record inaccurate data or even hide the incident by not reporting. Additionally, if employees perceive that their participation in safety measurement is met with management inaction, they are far less likely to spend effort on reporting safety incidents. These perceptions have a pronounced effect on data quality. To assess employee perceptions that impact data quality a Measurement Culture Survey was developed to assess factors impacting employee participation and management action in safety measurement. This study will attempt to assess the reliability, factor structure, and validity of the Measurement Culture Survey.

Date

October 2020

Subject

Industrial and organizational psychology

Document Type

posters

Language

English

Rights

http://rightsstatements.org/vocab/InC/1.0/

License

http://creativecommons.org/licenses/by/4.0/

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Validating a measurement culture survey for use in improving analytics readiness

Organizations lean more heavily on large quantities of data to base their decisions using analytics. However, analytics using big data relies heavily on data quality, which can be compromised by a lack of data variability. A major obstacle is the reduced variability in these reports due to the measurement culture of an organization. If employees perceive they may be reprimanded if near miss data is reported then they may record inaccurate data or even hide the incident by not reporting. Additionally, if employees perceive that their participation in safety measurement is met with management inaction, they are far less likely to spend effort on reporting safety incidents. These perceptions have a pronounced effect on data quality. To assess employee perceptions that impact data quality a Measurement Culture Survey was developed to assess factors impacting employee participation and management action in safety measurement. This study will attempt to assess the reliability, factor structure, and validity of the Measurement Culture Survey.