Implementation Pattern Human Normal H0 05/0 257/0 Normal Resources Development Knowledge Normal H0 05/0 427/0 Normal Assessment and Transfer Increase in Human Normal H0 05/0 302/0 Normal Resources Knowledge Increase in Human Normal H0 05/0 325/0 Normal Resources Activity Exploratory Factor Analysis The value of correlational coefficient between If factor loadings approximate 1, they are variables is seen in the table and equals 0.812. It is suitable and if they recede from it, they are unsuitable also seen in the table that the value of coefficient of inasmuch as the value of 0.3 indicates the omission of determination is 0.659. Coefficient of determination the related variables. In other words, a variable with a indicates the predictive power of the fit. Bearing this factor loading less than 0.3 should be omitted. in mind, it can be admitted that the fit in this case, has 65 percent predictive power of dependent variables in comparison to independent variable. Factor Variables Loading The F Test Table for the Significance of the fit Human Df Resources .690 Development (degree Statistic Model Sig. of F Knowledge freedom) Assessment .853 Regression 4 102.501 .000 and Transfer 1 Remainder 212 Increase in Total 216 Human .648 Resources The F table indicates whether the fit is in a Knowledge significant level and this significance is statistically Increase in important or not. Regarding what has been said, the Human significance level is one of the indications of the fact .823 Resources that the fit is significant. As it is seen, the value of this statistic equals 102.50, which indicates that the fit is Activity significant and of high power. The Fit of Regression Model Table of Regression Effect Coefficients Since a management system implementation pattern is to be designed, and this pattern is completed Standardized t Model Coefficients Sig. with variables such as human resources development, value Beta knowledge assessment and transfer, increase in human Intercept 1.520 .130 resources knowledge, and increase in human resources activity, it is studied in this section. Resources .78 10.67 .000 1 Development Table of regression adequacy index Knowledge Coefficient of R Assessment .59 9.11 .001 Determination and Transfer 1.967 0.659 0.812
Implementation Pattern Normal H0 05/0 257/0 Normal Human Resources Development Normal H0 05/0 427/0 Normal Knowledge Assessment and Transfer Normal H0 05/0 302/0 Normal Increase in Human Resources Knowledge Normal H0 05/0 325/0 Normal Increase in Human Resources Activity Exploratory Factor Analysis If factor loadings approximate 1, they are suitable and if they recede from it, they are unsuitable inasmuch as the value of 0.3 indicates the omission of the related variables. In other words, a variable with a factor loading less than 0.3 should be omitted. Variables Factor Loading Human Resources Development .690 Knowledge Assessment and Transfer .853 Increase in Human Resources Knowledge .648 Increase in Human Resources Activity .823 The Fit of Regression Model Since a management system implementation pattern is to be designed, and this pattern is completed with variables such as human resources development, knowledge assessment and transfer, increase in human resources knowledge, and increase in human resources activity, it is studied in this section. Table of regression adequacy index Coefficient of Determination R 1.967 0.659 0.812 The value of correlational coefficient between variables is seen in the table and equals 0.812. It is also seen in the table that the value of coefficient of determination is 0.659. Coefficient of determination indicates the predictive power of the fit. Bearing this in mind, it can be admitted that the fit in this case, has 65 percent predictive power of dependent variables in comparison to independent variable. The F Test Table for the Significance of the fit Model Df (degree of freedom) Statistic F Sig. 1 Regression 4 102.501 .000 Remainder 212 Total 216 The F table indicates whether the fit is in a significant level and this significance is statistically important or not. Regarding what has been said, the significance level is one of the indications of the fact that the fit is significant. As it is seen, the value of this statistic equals 102.50, which indicates that the fit is significant and of high power. Table of Regression Effect Coefficients Model Standardized Coefficients Beta t value Sig. 1 Intercept 1.520 .130 Resources Development .78 10.67 .000 Knowledge Assessment and Transfer .59 9.11 .001
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