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The hedonic scale is a sensory evaluation tool used to measure the degree of pleasure or liking of a product or service. The scale usually consists of 9 levels ranging from 1 to 9, or "dislike extremely" to "like extremely". [1] The hedonic scale is widely used for consumer acceptance testing. [2] [3]
Sensory analysis (or sensory evaluation) is a scientific discipline that applies principles of experimental design and statistical analysis to the use of human senses (sight, smell, taste, touch and hearing) for the purposes of evaluating consumer products.
Hedonic modeling was first published in the 1920s as a method for valuing the demand and the price of farm land. However, the history of hedonic regression traces its roots to Church (1939), [3] which was an analysis of automobile prices and automobile features. [4] Hedonic regression is presently used for creating the Consumer Price Index (CPI ...
Statistical tests are used to test the fit between a hypothesis and the data. [1] [2] Choosing the right statistical test is not a trivial task. [1]The choice of the test depends on many properties of the research question.
Discrimination testing is a technique employed in sensory analysis to determine whether there is a detectable difference among two or more products. The test uses a group of assessors (panellists) with a degree of training appropriate to the complexity of the test to discriminate from one product to another through one of a variety of experimental designs.
A hedonic index is any price index which uses information from hedonic regression, which describes how product price could be explained by the product's characteristics.. Hedonic price indexes have proved to be very useful when applied to calculate price indices for information and communication products (e.g. personal computers) and housing, [1] because they can successfully mitigate problems ...
In statistics, hypotheses suggested by a given dataset, when tested with the same dataset that suggested them, are likely to be accepted even when they are not true.This is because circular reasoning (double dipping) would be involved: something seems true in the limited data set; therefore we hypothesize that it is true in general; therefore we wrongly test it on the same, limited data set ...
The hedonic music consumption model was created by music researchers Kathleen Lacher and Richard Mizeski in 1994. Their goal was to use this model to examine the responses that listening to rock music creates, and to find if these responses influenced the listener's intention to later purchase the music. [1]