This paper described the correlation between employees' personal data (capabilities obtained before joining the company, performance show during new employee training and personality as profiled by instructors) at the beginning of employment, and the wage ranking (personnel evaluations) in their 10th year of employment. The null hypotheses were rejected at the 5% level of significance between entry records of "Technical Expertise," "Mathematics" and "English" scores in the employment examination and the "Basic Knowledge on Information Science" course in the employee training and the wage ranking in the 10th year. Multiple regression analysis and Hayashi's quantification analysis Type II were conducted for the classification of wage making from entry and the training records. A 66.3% correct classification level was attained by the latter method of analysis. Important significant items contributing to the results of the analysis were "Technical Expertise" in the employment examination, "Hard Worker" and "Exactness on Work" in their personality profiles, and "Basic Knowledge on information Science" in new employee training. This shows that basic and fundamental knowledge, including "Technical Expertise" acquired before employment and "Basic Knowledge on Information Science" in the new employee training is correlated with the 10th year ratings.
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