Selected Methods of Categorical Data Analysis and Their Application in Consumer Behaviour Research
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/71226401:_____/20:N0100412
Výsledek na webu
<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
—
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Selected Methods of Categorical Data Analysis and Their Application in Consumer Behaviour Research
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Selected Methods of Categorical Data Analysis and Their Application in Consumer Behaviour Research
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
50202 - Applied Economics, Econometrics
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Mathematical Methods in Economics 2020: Conference Proceedings
ISBN
978-80-7509-734-7
ISSN
—
e-ISSN
—
Počet stran výsledku
6
Strana od-do
656-661
Název nakladatele
Mendelova univerzita v Brně
Místo vydání
Brno
Místo konání akce
Brno
Datum konání akce
9. 9. 2020
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000668460800100