Selected Methods of Categorical Data Analysis and Their Application in Consumer Behaviour Research

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F20%3A43918277" target="_blank" >RIV/62156489:43110/20:43918277 - isvavai.cz</a>
Alternative codes found
RIV/71226401:_____/20:N0100412
Result on the web
<a href="https://mme2020.mendelu.cz/wcd/w-rek-mme/mme2020_conference_proceedings_final.pdf" target="_blank" >https://mme2020.mendelu.cz/wcd/w-rek-mme/mme2020_conference_proceedings_final.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Selected Methods of Categorical Data Analysis and Their Application in Consumer Behaviour Research
Original language description
This paper explores the methods of categorical data analysis, with special focus on their pros and cons and their possible application in the research of Czech consumers' shopping habits. To that end, a large survey mapping shopping preferences of Czech consumers (mainly the shopping behaviours of different genders in relation to their income, education, age, place of residence etc.) has been used as a source of data. The survey results were analyzed using the contingency tables analysis, including the Pearson's chi-squared test of independence in contingency tables. The dependence intensity was identified via Pearson's Contingency Coefficient and the impact of individual categories was assessed with the post-hoc residual test. The influence of several combined factors on the payment method was tested through logistic regression; the model parameters were estimated by the Maximum Likelihood Estimation and the ROC curve allowed for the assessment of the model's quality. Every method proved a statistically significant dependence of the most frequent payment method on the education and age of respondents, number of household members and the size of respondents' place of residence.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Mathematical Methods in Economics 2020: Conference Proceedings
ISBN
978-80-7509-734-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
656-661
Publisher name
Mendelova univerzita v Brně
Place of publication
Brno
Event location
Brno
Event date
Sep 9, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000668460800100

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