Correspondence Analysis

Correspondence Analysis Term Paper for MBA 621 June 19,2008 Correspondence Analysis is a statistical method that graphically displays categorical selective information in a manner that allows for optimal representation of the information in low-dimensional space. This method was developed by Jean-Paul Benzérci in the 1960s through the early 1970s. Jean-Paul is a professor at the ISUP of the University Pierre and Marie curie in Paris, France.[1] He is the [f]ounder of the French school of digest of data in the years 1960-1990.[2] He has …developed statistical tools, including the reckon analysis of connections that can treat large masses of data to visualize and prioritize information.[3] In its simplest form, correspondence analysis applies to a two-way crosstabulation like a contingency carry over.[4] Example of crosstabulation table:[5] [pic] The ultimate aim of the method is to produce a stand for of this table, where each language and each column is represented by a point.[6] Correspondence Analysis contains three basic concepts, that of a pen point in multidimensional space, a encumbrance assigned to each point, and finally a distance operate between the points, called the chi-square distance, ?².

[7] The variables of data must be discrete: nominal, ordinal, or continuous variables segmented in ranges.[8] Other forms of analysis which analyze variables or factors of the data, …determine where category values cluster together and correspondence analysis determines which category values are weedy together.[9] The first step in interpreting correspondence analysis is to review the table of data. Each row divided by its row total is a vector called a profile that is a set or proportions adding up to 1.[10] It is these profiles which define the points in multidimensional space.[11] Example of crosstabulation table with calculated profiles:[12] [pic] Each row profile is then given a weight which is basically a measure... If you want to get a full essay, invest it on our website: Orderessay

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