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search for causes was involved in developing the model. Furthermore, Backward methods are preferable to Forward methods. This happens because Forward methods have a higher risk of making a type II error (Field, 2002). Also, the Conditional option was chosen as the removal criterion instead of the Wald statistic, which is not as reliable. Standardized residuals were examined to check the fit of the model to the data. This examination assured that the coefficients of the model were accurate (Field, 2002). Only 6.75% of standardized residuals were found to be outside the ±2 range, which is not considered a problem. Multicollinearity was tested for 36 variables that represented largest kiln capacity (question 3) and the various drying issues under investigation (questions 10, 12, 13, 14). Pearson correlations were examined. The three highest values were found: a. between item 2 (discolouration because of temperature) of question 10 and item 3 (discolouration because of sticker marks) of question 10 with a value of 0.769, b. between item 13 (internal checking - shake) of question 10 and item 14 (end checking) of question 10 with a value of 0.751, c. between item 10 (collapse) of question 10 and item 12 (internal checking - honeycomb) of question 10 with a value of 0.737. Collinearity statistics were used from the Linear Regression option of SPSS. All tolerance values were more than 0.1 and all the VIF values were lower than 10 for all the variables examined. Therefore, multicollinearity was not considered a problem. The Hosmer and Lemeshow goodness of fit statistic was examined to evaluate the fit of the model to the data. This statistic tests the null hypothesis that the observed data are significantly different from those predicted by the model (Field, 2002). The test was not significant (see Table 15) and thus, the model's predictions are considered useful. 56PDF Image | KILN DRYING PROBLEMS AND ISSUES IN CANADA
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