Technical Papers
Sep 19, 2013

Enhancing Construction Hazard Recognition and Communication with Energy-Based Cognitive Mnemonics and Safety Meeting Maturity Model: Multiple Baseline Study

Publication: Journal of Construction Engineering and Management
Volume 140, Issue 2

Abstract

Nearly every safety management activity is designed around the fundamental and implicit assumption that the workforce is capable of identifying hazards before exposure. Unfortunately, research shows preliminary evidence that construction crews perform relatively poorly with respect to hazard recognition. This may be attributable, in part, to the diverse and dynamic nature of construction work. Consequently, many hazards remain unidentified, uncontrolled, and unmanaged until they are encountered by workers. To advance theory and practice in the area of construction hazard recognition and communication, a large-scale, multiphase research project was conducted with the following objectives: (1) devise a new hazard recognition method based upon the principles of cognitive mnemonics and that promotes hazard recognition skill; (2) build a maturity model to improve hazard recognition performance and encourage hazard communication; and (3) experimentally measure improvement in hazard recognition and communication resulting from the new program. The first two objectives were achieved by using the nominal group technique driven by input from an expert panel of 14 industry professionals from organizations with world-class safety records and an average of 26 years of safety management experience. A new method for measuring the quality of prejob safety meetings was devised in a series of eight face-to-face meetings and teleconferences among the experts over a 1-year period. The null hypothesis that the strategy does not improve the proportion of hazards identified and communicated before the start of construction was experimentally tested with six crews using the multiple baseline testing approach. This is a series of concurrent longitudinal A-B designs that are time-lagged among independent treatment groups. The obtained observations were analyzed using interrupted time series regression models. The results showed that workers were able to identify and communicate an average of 38% of hazards before the intervention was applied and that the new strategy caused a weighted overall level-change improvement in hazard recognition skill of 31% (p<0.01). This is the first known quasi-experimental test of a hazard recognition strategy in any industry and one of the first large-scale studies to employ multiple baseline testing with appropriate controls that optimize validity and statistical rigor.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

We thank the Construction Industry Institute (CII) for their financial support and commitment toward the success of this study. We also thank the experts from RT293 who actively participated and contributed to the quality of this study.

References

Abdelgawad, M., and Fayek, A. R. (2012). “Comprehensive hybrid framework for risk analysis in the construction industry using combined failure mode and effect analysis, fault trees, event trees, and fuzzy logic.” J. Constr. Eng. Manage., 138(5), 642–651.
Albert, A., and Hallowell, M. R. (2013). “Safety risk management for electrical transmission and distribution line construction.” Saf. Sci., 51(1), 118–126.
Alsamadani, R., Hallowell, M., and Javernick-Will, A. N. (2013). “Measuring and modelling safety communication in small work crews in the US using social network analysis.” Constr. Manage. Econ, 31(6), 568–579.
Baer, D. M., Wolf, M. M., and Risley, T. R. (1968). “Some current dimensions of applied behavior analysis.” J. Appl. Behav. Anal., 1(1), 91–97.
Barlow, D. H., Hersen, M., and Nock, M. K. (2009). Single case experimental designs: Strategies for studying behavior change, Pearson, Boston.
Biglan, A., Ary, D., and Wagenaar, A. C. (2000). “The value of interrupted time-series experiments for community intervention research.” Prev. Sci., 1(1), 31–49.
Blount, R. L., Drabman, R. S., Wilson, N., and Stewart, D. (1982). “Reducing severe diurnal bruxism in two profoundly retarded females.” J. Appl. Behav. Anal., 15(4), 565–571.
Brooke, P. J., and Paige, R. F. (2003). “Fault trees for security system design and analysis.” Comput. Secur., 22(3), 256–264.
Cameron, I., and Duff, R. (2007). “A critical review of safety initiatives using goal setting and feedback.” Constr. Manage. Econ., 25(5), 495–508.
Carter, G., and Smith, S. D. (2006). “Safety hazard identification on construction projects.” J. Constr. Eng. Manage., 132(2), 197–205.
Center for Disease Control, and Prevention. (2012). “Safety and health topics: Respiratory protection–hazard recognition.” U.S. Dept. of Labor, Occupational Safety and Health Administration, Washington, DC, 〈http://www.cdc.gov/niosh/nas/rdrp/appendices/chapter6/a6-134.pdf〉 (Dec. 18, 2012).
Chandler, J., and Owen, M. (2002). Qualitative market research: Principle and practice. 5. Developing brands with qualitative market research, Sage, London.
Choudhry, R. M., Fang, D., and Mohamed, S. (2007). “Developing a model of construction safety culture.” J. Manage. Eng., 23(4), 207–212.
Cook, N. M. (1989). “The applicability of verbal mnemonics for different populations: A review.” Appl. Cognit. Psychol., 3(1), 3–22.
Desai, P. (2002). Methods beyond interviewing in qualitative market research, Sage, Thousand Oaks, CA.
Dimitrov, D. M., and Rumrill, Phillip D., Jr. (2003). “Pretest-posttest designs and measurement of change.” Work: A Journal of Prevention, Assessment and Rehabilitation, 20(2), 159–165.
Eslinger, P. J. (2002). Neuropsychological interventions: Clinical research and practice, Guilford, New York.
Fang, D., Huang, X., and Hinze, J. (2004). “Benchmarking studies on construction safety management in China.” J. Constr. Eng. Manage., 130(3), 424–432.
Fitzmaurice, G. M., Laird, N. M., and Ware, J. H. (2004). Applied longitudinal analysis, Wiley-Interscience, Hoboken, NJ.
Fleece, L., Gross, A., O’Brien, T., Kistner, J., Rothblum, E., and Drabman, R. (1981). “Elevation of voice volume in young developmentally delayed children via an operant shaping procedure.” J. Appl. Behav. Anal., 14(3), 351–355.
Fleming, M. A. (2009). “Hazard recognition.” By Design, 9(3), 15–18.
Forsyth, D. R. (2013). Group dynamics, Wadsworth, Cengage Learning, Belmont, CA.
Goetsch, D. L., and Goetsch, D. L. (1996). Occupational safety and health in the age of high technology: For technologists, engineers, and managers, Prentice Hall, Englewood Cliffs, NJ.
Hallowell, M. R. (2012). “Safety-knowledge management in American construction organizations.” J. Manage. Eng., 28(2), 203–211.
Hallowell, M. R., and Gambatese, J. A. (2010). “Qualitative research: Application of the delphi method to CEM research.” J. Constr. Eng. Manage., 136(1), 99–107.
Haslam, R., et al. (2005). “Contributing factors in construction accidents.” Appl. Ergon., 36(4), 401–415.
Hawkins, N. G., Sanson-Fisher, R. W., Shakeshaft, A., D’Este, C., and Green, L. W. (2007). “The multiple baseline design for evaluating population-based research.” Am. J. Prev. Med., 33(2), 162–168.
Herrmann, D. J., Geisler, F. V., and Atkinson, R. C. (1973). “The serial position function for lists learned by a narrative-story mnemonic.” Bull. Psychon. Soc., 2(6A), 377–378.
Holt, A. S. J., and Lampl, F. (2006). Principles of construction safety, Blackwell, Oxford, UK.
Huitema, B. E., and McKean, J. W. (2000). “Design specification issues in time-series intervention models.” Educ. Psychol. Meas., 60(1), 38–58.
Huitema, B. E., and McKean, J. W. (2007). “Identifying autocorrelation generated by various error processes in interrupted time-series regression designs: A comparison of AR1 and portmanteau tests.” Educ. Psychol. Meas., 67(3), 447–459.
Jordan, V., and Luftig, J. L. (2008). Design of experiments in quality engineering, McGraw-Hill Professional, New York.
Kazdin, A. E., and Kopel, S. A. (1975). “On resolving ambiguities of the multiple-baseline design: Problems and recommendations.” Behav. Ther., 6(5), 601–608.
Latham, G. P. (2012). Work motivation: History, theory, research, and practice, Sage, Los Angeles.
Laurence, D. (2005). “Safety rules and regulations on mine sites—The problem and a solution.” J. Saf. Res., 36(1), 39–50.
Levin, J. R. (1993). “Mnemonic strategies and classroom learning: A twenty-year report card.” Elem. Sch. J., 94(2), 235–244.
Luftig, J. T., and Jordan, V. S. (1998). Design of experiments in quality engineering, McGraw-Hill, New York.
Mastropieri, M. A., and Scruggs, T. E. (1991). Teaching students ways to remember: Strategies for learning mnemonically, Brookline Books, Cambridge, MA.
Mastropieri, M. A., and Scruggs, T. E. (1998). “Enhancing school success with mnemonic strategies.” Intervention Sch. Clin., 33(4), 201–208.
McGuigan, F. J. (1997). Experimental psychology: Methods of research, Prentice Hall, Upper Saddle River, NJ.
Mitropoulos, P., and Guillama, V. (2010). “Analysis of residential framing accidents, activities, and task demands.” J. Constr. Eng. Manage., 136(2), 260–269.
Mushtaq, F., and Chung, P. (2000). “A systematic Hazop procedure for batch processes, and its application to pipeless plants.” J. Loss Prev. Process. Ind., 13(1), 41–48.
Renn, R. W., and Fedor, D. B. (2001). “Development and field test of a feedback seeking, self-efficacy, and goal setting model of work performance.” J. Manage., 27(5), 563–583.
Richards, S. (1999). Single subject research: Applications in educational and clinical settings, Singular, San Diego.
Roethlisberger, F. J., and Dickson, W. J. (1939). Management and the worker, Wiley, New York.
Rozenfeld, O., Sacks, R., Rosenfeld, Y., and Baum, H. (2010). “Construction job safety analysis.” Saf. Sci., 48(4), 491–498.
Scruggs, T. E., and Mastropieri, M. A. (1990). “Mnemonic instruction for students with learning disabilities: What it is and what it does.” Learn. Disability Q., 13(4), 271–280.
Scruggs, T. E., Mastropieri, M. A., Berkeley, S. L., and Marshak, L. (2010). “Mnemonic strategies: Evidence-based practice and practice-based evidence.” Intervention Sch. Clin., 46(2), 79–86.
Shadish, W. R., Cook, T. D., and Campbell, D. T. (2010). Experimental and quasi-experimental designs for generalized causal inference, Wadsworth, Belmont.
Sneddon, A., Mearns, K., Flin, R., and Bryden, R. (2004). “Safety and situation awareness in offshore crews.” Proc., Society of Petroleum Engineers Int. Conf. on Health, Safety, and Environment in Oil and Gas Exploration and Production, Society of Petroleum Engineers.
Stamatis, D. H. (2003). Failure mode and effect analysis: FMEA from theory to execution, ASQ Quality, Milwaukee.
Swamidass, P. M. (2002). Encyclopedia of production and manufacturing management, Kluwer, Norwell, MA.
Valtanen, A., and Sihvonen, H. (2008). “Employees’ motivation for SPI: Case study in a small Finnish software company.” Softw. Process Improv., 16(1), 152–163.
Van Houten, R., Malenfant, L., and Rolider, A. (1985). “Increasing driver yielding and pedestrian signaling with prompting, feedback, and enforcement.” J. Appl. Behav. Anal., 18(2), 103–110.
Watson, P., and Workman, E. A. (1981). “The non-concurrent multiple baseline across-individuals design: An extension of the traditional multiple baseline design.” J. Behav. Ther. Exp. Psychiatry, 12(3), 257–259.
Wilson, B. A. (1987). Rehabilitation of memory, Guilford, New York.
Wilson, H. A. (1989). “Organizational behaviour and safety management in the construction industry.” Constr. Manage. Econ., 7(4), 303–319.
Wolf, M. M., and Risley, T. R. (1971). “Reinforcement: Applied research.” The nature of reinforcement, Academic Press, New York, 310–325.
Worthen, J. B., and Hunt, R. R. (2011). Mnemonology Mnemonics for the 21st Century, Psychology Press, New York.

Information & Authors

Information

Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 140Issue 2February 2014

History

Received: Mar 19, 2013
Accepted: Aug 21, 2013
Published online: Sep 19, 2013
Published in print: Feb 1, 2014
Discussion open until: Feb 19, 2014

Permissions

Request permissions for this article.

Authors

Affiliations

Alex Albert [email protected]
S.M.ASCE
Graduate Research Assistant, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado at Boulder, Boulder, CO 80302 (corresponding author). E-mail: [email protected]
Matthew R. Hallowell [email protected]
A.M.ASCE
Assistant Professor and Beavers Faculty Fellow, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado at Boulder, Boulder, CO 80302. E-mail: [email protected]
Brian M. Kleiner [email protected]
Director, Center for Innovation in Construction Safety and Health, Virginia Polytechnic Institute and State Univ.; and Professor of Industrial and Systems Engineering, Blacksburg,VA 24061. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share