Conjoint
Conjoint is a term used in various fields of study, including psychology, statistics, and business. In the context of psychology, it refers to the simultaneous consideration of multiple factors in decision making. In statistics, it refers to a type of analysis that determines how people value different attributes of a product or service. In business, it refers to a marketing research technique that helps companies understand what combination of a limited number of attributes is most influential on consumer decision making.
Psychology[edit | edit source]
In psychology, conjoint analysis is used to study the decision-making process of individuals. It is a method that allows researchers to measure the relative importance of different factors in an individual's decision-making process. This is done by presenting individuals with a series of choices and asking them to rank or rate them. The data collected is then used to determine the relative importance of each factor.
Statistics[edit | edit source]
In statistics, conjoint analysis is a statistical technique used in surveys to determine how people value different attributes that make up an individual product or service. The objective of conjoint analysis is to determine what combination of a limited number of attributes is most influential on respondent choice or decision making. A controlled set of potential products or services is shown to survey respondents and by analyzing how they make preferences between these products, the implicit valuation of the individual elements making up the product or service can be determined.
Business[edit | edit source]
In business, conjoint analysis is a market research technique used to gain insights into how consumers make decisions. It is used to measure the value that consumers place on different features of a product or service. The results of conjoint analysis can help businesses to design new products, improve existing ones, and set optimal pricing.
See also[edit | edit source]
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