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Session #2793 STATISTICAL MODELING OF DATA FROM LIFELONG LEARNING SURVEYS AT THE OHIO STATE UNIVERSITY COLLEGE OF ENGINEERING.

Alfred B. O. Soboyejo and Robert J. Gustafson The Ohio State University, Columbus, Ohio, 43210, USA.

ABSTRACT In addition to the work already carried out by the Life Long Learning Study Task Group, in The Office of the Dean, College of Engineering at The Ohio State University, Columbus, Ohio; further statistical studies of the data received from the surveys conducted, had been carried out. New statistical models for the data had been produced. The models provide additional tools that are necessary for the enhancement of decision making processes. Linear multiparameter models had been successfully developed for the three sets of data, from the 2nd year, 6 th year and 15th year alumni. The effects of the following variables had been considered in each of the three models developed: (i) the eighteen desirable indicators in the surveys; and (ii) the fourteen categories of the engineering background of the alumni. A fourth statistical model was also developed to characterize not only the combined effects of the variables mentioned in (i) and (ii) above; but also the quantification of the effects of the variables due to the years of experience of graduation of the engineering alumni. Partial statistical correlations were developed for any pair of variables, in each of the four statistical models developed in these studies. Validations of the theoretical statistical models developed were carried out using the data received from the surveys. These validations yielded excellent multiple statistical correlations, which indicate that the new models developed can provide accurate and reliable predictions of the data. Bayesian methodology in statistical decision theory was also developed in the studies conducted, in order to combine the results from any future survey, with the results from the present studies. This is an important feature of the present studies, since the result of the present and any future studies can be combined and used, in order to formulate future policy guidelines, for the enhancement of future programs of development in the College of Engineering at The Ohio State University.

1.0 STATISTICAL MODELS

The Linear Model k Y j = a0 + å ai X ij i =1

i = 1,2,...k j = 1,2, ,...n; n > k

Proceedings of the 2002 American Society of Engineering Education Annual Conference & Exposition Copyright © 2002, American Society for Engineering Education

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Soboyejo, A. (2002, June), Statistical Modeling Of Data From Life Long Learning Surveys At The Ohio State University College Of Engineering Paper presented at 2002 Annual Conference, Montreal, Canada. 10.18260/1-2--10577