The Guatemalan Construction Characterizaton of the Perceived Risk by Managers of Suffering Work Accidents

Abstract

The construction industry is considered one of the highest risk production sectors, even more so in developing countries such as Guatemala. A characterization has been carried out on the perception of Guatemalan construction company managers regarding, the risk of accidents exist for the different activities they perform. The characterization has been carried out on a representative sample of the business population via a questionnaire. A preliminary data analysis was performed followed by a Descriptive and a Multiple Correspondence Analysis. Companies are characterized as “mediumsize” companies, with an average of 81.1 construction workers per year and average annual turnover of 1.29 million euros. 4 clusters of construction activities occur with similar accident weightings. Companies in Cluster 1 are associated to the variables grouped with a Low risk weighting, with a medium to high number of on-site workers and with a turnover of more than 100,000 euros. In contrast, those in Cluster 2 are associated with the variables grouped as having a Medium risk weighting, with a low number of on-site workers and a turnover of less than 100,000 euros. The companies in Cluster 3 are only associated with High risk weighted. And those of Cluster 4 with Not applicable risk-weighting variables.

Approach for Assessing the Prevalence of Psychosocial Risks of Workers in the Greenhouse Construction Industry in South-Eastern Spain

“…Each discrimination measurement coincides with the variance in each dimension’s coordinates for the modalities of each variable so that those variables whose modalities have coordinates on a different dimension from each other present high measures of discrimination in that dimension. Likewise, a variable with similar discrimination measurements in the two dimensions reflects the difficulties in assigning it to a given dimension [ 6 , 22 , 23 ].…”

“…Each discrimination measurement coincides with the variance in each dimension's coordinates for the modalities of each variable so that those variables whose modalities have coordinates on a different dimension from each other present high measures of discrimination in that dimension. Likewise, a variable with similar discrimination measurements in the two dimensions reflects the difficulties in assigning it to a given dimension [6,22,23]. The multiple correspondence analysis carried out allows us to identify the categories of each variable that best discriminates the objects (the workers); thus, the quantifications of the variables are obtained and represented in a factorial plane, in which the axes are the two dimensions obtained in the model (Figure 1).…”

“…Worldwide, the construction sector sustains a high level of workplace accidents [ 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 ]. In June 2017, the Spanish construction sector presented a total incidence rate of 7347.0, followed by the industrial sector (5240.0), the agricultural sector (5117.0), and the service sector (2520.0) [ 25 ].…”