Methods for categorical data analysis: Illustrating consumer behaviour with relation to organic produce

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F71226401%3A_____%2F20%3AN0100411" target="_blank" >RIV/71226401:_____/20:N0100411 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60460709:41110/20:84687 RIV/62156489:43110/20:43918502

Výsledek na webu

<a href="https://ap.pef.czu.cz/en/r-12193-conference-proceedings" target="_blank" >https://ap.pef.czu.cz/en/r-12193-conference-proceedings</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Methods for categorical data analysis: Illustrating consumer behaviour with relation to organic produce

Popis výsledku v původním jazyce

A description of consumers’ shopping habits based on categorical data interpretation and modelling (source of data: an extensive survey), with special focus on different groups of consumers (age, gender, income, and education etc. specific) purchasing organic products. The survey outcomes were analysed using the contingency tables analysis, including the Pearson’s chi-square test. Correspondence analysis enabled graphic representations of the resulting dependencies. Correspondence analysis represents a popular method often employed in order to analyse the associations between individual categories of variable(s) in contingency tables. The correspondence analysis mechanisms allow for the description of the associations between nominal or ordinal variables and their graphical presentation in multidimensional space. The influence of several predictors on one predicted variable was tested through logistic regression; the model parameters were estimated by the Maximum Likelihood Estimation. Relevant methods for categorical data processing indicated the dependency of organic produce purchase frequency on age, income, gender, household size and municipality of respondent.

Název v anglickém jazyce

Methods for categorical data analysis: Illustrating consumer behaviour with relation to organic produce

Popis výsledku anglicky

A description of consumers’ shopping habits based on categorical data interpretation and modelling (source of data: an extensive survey), with special focus on different groups of consumers (age, gender, income, and education etc. specific) purchasing organic products. The survey outcomes were analysed using the contingency tables analysis, including the Pearson’s chi-square test. Correspondence analysis enabled graphic representations of the resulting dependencies. Correspondence analysis represents a popular method often employed in order to analyse the associations between individual categories of variable(s) in contingency tables. The correspondence analysis mechanisms allow for the description of the associations between nominal or ordinal variables and their graphical presentation in multidimensional space. The influence of several predictors on one predicted variable was tested through logistic regression; the model parameters were estimated by the Maximum Likelihood Estimation. Relevant methods for categorical data processing indicated the dependency of organic produce purchase frequency on age, income, gender, household size and municipality of respondent.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

40500 - Other agricultural sciences

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

AGRARIAN PERSPECTIVES XXIX. TRENDS AND CHALLENGES OF AGRARIAN SECTOR

ISBN

978-80-213-3041-2

ISSN

2464-4781

e-ISSN

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Počet stran výsledku

441

Strana od-do

426-433

Název nakladatele

Czech University of Life Sciences Prague

Místo vydání

Praha

Místo konání akce

Prague, Czech Republic

Datum konání akce

16. 9. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000651198600051