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Abstract

This paper reports an analysis of student evaluation of and performance in three agricultural economics classes offered at distance by audio-visual connection in real time. Multiple regression analyses of student questionnaire data are used to examine the relationship between student attributes and their evaluation of and performance in the distance-offered course.

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