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between early and late respondents and, if significant statistical differences are found, then non-response bias is present. In order to detect whether non-response bias was present, the following three important variables were considered: number of kilns, annual dried lumber production, and number of employees. Responses from the first mail out (n = 103) were included in the early responses group and those from the second mail out (n = 60) were included in the late responses group. Independent samples t-tests as well as Levene's tests for equality of variance were performed at an alpha level of 0.05 for the 3 variables to detect statistically significant differences between early and late responses. Table 1 shows that there were no significant differences in results for either Levene's test or the t-test for the variable number of kilns between early and late respondents. The same is true for annual dried lumber production (Table 2) and number of employees (Table 3). Levene's Test for Equality of V ariances Table 1. T-test for number of kilns (early vs. late respondents). t-test for Equality of Means Early F Sig. Group Mean 0.029 0.866 4.61 Late Group Mean Sig. (2-tailed) 0.887 Mean Difference 0.09 95% Confidence Interval of the Difference Lower Upper -1.12 1.30 t 4.53 0.143 156 df Note: Sig. is a short form for significance; df is a short form for degrees of freedom; t is a short form for t value. 44PDF Image | KILN DRYING PROBLEMS AND ISSUES IN CANADA
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