validity and reliability in quantitative studies

This opens up the risk of misinterpreting scientific data, even though all criteria of “FAIR” are fulfilled. FAIR data, however, does not necessarily include information on data trustworthiness, where trustworthiness comprises reliability, validity and provenience/provenance. Recent discussions in many scientific disciplines stress the necessity of “FAIR” data. Keywords: NOSACQ-50, pipeline safety climate, agricultural safety climate, safety culture, organizational cultural assessment, NOSACQ-50 questionnaire, and safety perceptions. Future work includes additional studies on this population and implementing changes to the current organization based upon these safety perception findings. Using ANCOVA with demographics as a covariant, there was still no statistically significant differences between safety climate perceptions between direct workers, supervisors and managers, nor between direct and indirect employees when adjusted for demographic variables. ANOVA was used to determine if there were any statistically significant differences and there were none found between direct and indirect employees, nor between workers, supervisors and managers. Using the reliable and validated NOSACQ-50 instrument and causal-comparative methodology, the largest oil-and-gas restoration employer within the western United States was surveyed to determine if their safety climate dimension scores (dependent variable) were statistically significant between direct and/or indirect employee groups (independent variable). Both agriculture and energy sectors have a high incident and injury rate for their industries and their safety climate has not been researched.

Dissertation: Safety climate is a vital part of oil-and-gas restoration industry where oil-and-gas activities are completed with agricultural restoration to return the lands back to their original or better conditions.

Validity and reliability in quantitative studies