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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F71226401%3A_____%2F20%3AN0100412" target="_blank" >RIV/71226401:_____/20:N0100412 - isvavai.cz</a>

  • Alternative codes found

    RIV/62156489:43110/20:43918277

  • Result on the web

    <a href="https://mme2020.mendelu.cz/wcd/w-rek-mme/mme2020_conference_proceedings_final_final.pdf" target="_blank" >https://mme2020.mendelu.cz/wcd/w-rek-mme/mme2020_conference_proceedings_final_final.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • 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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    40500 - Other agricultural sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    38th International Conference on Mathematical Methods in Economics

  • ISBN

    978-80-7509-734-7

  • ISSN

  • e-ISSN

  • Number of pages

    684

  • Pages from-to

    656-661

  • Publisher name

    Published by Mendel University Publishing Center

  • Place of publication

    Brno

  • Event location

    Brno, Czech Republic

  • Event date

    Sep 9, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000668460800100