Year: 2004
Type: dissertation
Abstract: In areas such as agriculture and medicine, there is often a need for humans to carry out tasks of estimating the intensity of certain kinds of stimuli.A lot of experiments have been carried out by psychologists to study the performance of humans at such tasks.This thesis is concerned with quantitative visual assessments of plant disease severity and with food tasting studies.Judgements made by humans are prone to bias from several sources.Thus, the designs used for such experiments and the models used for analysis of such data need to account for this bias.In studies where human assessors make judgements of long sequences of varying levels of a stimulus, sequential effects, such as carry-over from the previous stimulus and order of the stimulus in the sequence, are likely to arise.Designs which are balanced for order and carry-over have therefore been studied here, and a program which searches for sequences of one such design was written.The sequences generated by this program were then grouped according to certain invariance and optimality properties.
Source: ERA
Author: Bareng A. S. Nonyane
Language: English
Field: Decision Sciences
Domain: Social Sciences
SDG: Zero hunger
Open Access status: green
OpenAlex ID: W2175928433