Identifying and addressing the limitations of safety climate surveys.
BACKGROUND
There are a variety of qualitative and quantitative tools for measuring safety climate. However, questionnaires are by far the most commonly used methodology.


METHODS
This paper reports the descriptive analysis of a large sample of safety climate survey data (n=110,014) collected over 10 years from U.S. Naval aircrew using the Command Safety Assessment Survey (CSAS).


RESULTS
The analysis demonstrated that there was substantial non-random response bias associated with the data (the reverse worded items had a unique pattern of responses, there was a increasing tendency over time to only provide a modal response, the responses to the same item towards the beginning and end of the questionnaire did not correlate as highly as might be expected, and the faster the questionnaire was completed the higher the frequency of modal responses). It is suggested that the non-random responses bias was due to the negative effect on participant motivation of a number of factors (questionnaire design, lack of a belief in the importance of the response, participant fatigue, and questionnaire administration).


CONCLUSIONS
Researchers must consider the factors that increase the likelihood of non-random measurement error in safety climate survey data and cease to rely on data that are solely collected using a long and complex questionnaire.


CONCLUSIONS
In the absence of valid and reliable data it will not be possible for organizations to take the measures required to improve safety climate.
Centre for Innovation and Structural Change, J. E. Cairnes School of Business & Economics, National University of Ireland, Galway, Ireland. poc73@hotmail.com
Paul
P
O'Connor
Samuel E
SE
Buttrey
Angela
A
O'Dea
Quinn
Q
Kennedy
D000401:Aircraft; D003625:Data Collection / Q000379:methods*; D005221:Fatigue; D006801:Humans; D008887:Military Medicine; D008889:Military Personnel; D016272:Occupational Health / Q000706:statistics & numerical data*; D036301:Qualitative Research; D012107:Research Design; D012307:Risk Factors; D011795:Surveys and Questionnaires; D014481:United States