Date of Award

Fall 12-1-2006

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Industrial Technology Education

First Advisor

George R. Maughan

Second Advisor

Anthony F. Gilberti

Third Advisor

Davison Mupinga

Abstract

The occupation of Quality Technician has many duties requiring numerical operations. Business and industry place considerable emphasis on numerical ability when evaluating the performance of a Quality Technician. In this study, the numerical ability and performance classification of Quality Technicians were analyzed using a correlation analysis. lll A single case study was used to investigate this relationship. A modified Delphi Method was used to determine characteristics of a Quality Technician. Quality Technicians were evaluated by their direct supervisor and completed a standardized numerical ability test. The evaluations by the supervisor were used to classify each technician based on their performance. The results indicated a positive correlation between numerical ability and best performer status for the sample of seven participants. Testing the correlation at an alpha of 0.05 yielded a p-value of 0.155. This would indicate that the study found no statistical correlation in the numerical ability of the technicians and their performance classification. The positive correlation was viewed to be the result of chance occurrence.

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