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Original Articles

Predictors of Work Injuries: A Quantitative Exploration of Level of English Proficiency as a Predictor of Work Injuries in the Construction Industry

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Pages 3-28 | Published online: 23 Feb 2007

Figures & data

Table 1. Change in workpalce fatalities, by race, from 1992 to 2000

Table 2. Rank of injury frequencies, location

Table 3. Rank of injury frequencies, type of pain

Figure 1 Frequency, location and injury type (underlined = sore, heavy or tiring, bold = sharp, italicized = numbness or tingling).

Figure 1 Frequency, location and injury type (underlined = sore, heavy or tiring, bold = sharp, italicized = numbness or tingling).

Table 4a. Descriptive statistics

Table 4b. Descriptive statistics

Table 5. Spearman's Rho correlation for research question seven

Table 6. Spearman's Rho correlation for research question eight

Table 7. Spearman's Rho correlation for research question ten

Table 8. Spearman's Rho correlation for research question eleven

Table 9. Regression statistics for research question twelve

Table 10. ANOVAFootnote b table for research question twelve

Table 11. Regression coefficients (a) of research question twelve

Table 12. Regression statistics for research question thirteen

Table 13. CorrelationsFootnote a for research question fourteen

Table 14. Regression coefficientsFootnote a , Footnote b of research question fourteen

Table 15. Other significant correlations of interest

Table 16. Mann-Whitney U test for main variables including more subjects

Table 17. Regression of level of schooling and level of English proficiency

Table 18. Regression of full model

Table 19. Coefficients of interest in regression of full model

Table 20. Results of the qualitative question

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