The monitoring of consumers behavior on the field of the bioproducts by using the correspondence and dependence analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F71226401%3A_____%2F13%3A%230000067" target="_blank" >RIV/71226401:_____/13:#0000067 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/71226401:_____/13:#0000109

Výsledek na webu

<a href="https://mme2013.vspj.cz/" target="_blank" >https://mme2013.vspj.cz/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The monitoring of consumers behavior on the field of the bioproducts by using the correspondence and dependence analysis

Popis výsledku v původním jazyce

This article primarily aims to analyze the factors that influence young respondents when buying organic food by using appropriate statistical methods. In the questionnaire survey analysis we usually obtain categorical data. Contingency tables are easy way to illustrate the data relations. With respect to the character of the data we use suitable tests of the independence. Using analysis of contingency tables we will evaluate interesting dependence between frequency of organic food purchases and other indicators. Furthermore we will identify the target group for marketing strategies. Correspondence analysis is a multivariate statistical technique. It is conceptually similar to principal component analysis, but applies to categorical rather than con-tinuous data. In a similar way as a principal component analysis, it provides means of displaying or summarizing a set of data in two-dimensional graphical form. The graphical representation of results from correspondence analysis is commonly

Název v anglickém jazyce

The monitoring of consumers behavior on the field of the bioproducts by using the correspondence and dependence analysis

Popis výsledku anglicky

This article primarily aims to analyze the factors that influence young respondents when buying organic food by using appropriate statistical methods. In the questionnaire survey analysis we usually obtain categorical data. Contingency tables are easy way to illustrate the data relations. With respect to the character of the data we use suitable tests of the independence. Using analysis of contingency tables we will evaluate interesting dependence between frequency of organic food purchases and other indicators. Furthermore we will identify the target group for marketing strategies. Correspondence analysis is a multivariate statistical technique. It is conceptually similar to principal component analysis, but applies to categorical rather than con-tinuous data. In a similar way as a principal component analysis, it provides means of displaying or summarizing a set of data in two-dimensional graphical form. The graphical representation of results from correspondence analysis is commonly

Druh

D - Stať ve sborníku

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

31st International Conference on Mathematical Methods in Economics 2013

ISBN

978-80-87035-76-4

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

1035-1040

Název nakladatele

VŠP Jihlava

Místo vydání

Jihlava

Místo konání akce

Jihlava

Datum konání akce

1. 1. 2013

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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