Conditional histogram analysis of discrete questionnaire data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F23%3A00574160" target="_blank" >RIV/67985556:_____/23:00574160 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21260/23:00367303
Result on the web
<a href="http://dx.doi.org/10.1109/SCSP58044.2023.10146233" target="_blank" >http://dx.doi.org/10.1109/SCSP58044.2023.10146233</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP58044.2023.10146233" target="_blank" >10.1109/SCSP58044.2023.10146233</a>

Result language
angličtina
Original language name
Conditional histogram analysis of discrete questionnaire data
Original language description
The paper deals with the analysis of histograms of discrete data collected in questionnaires obtained for individual realizations of the target variable. The main aim of the analysis is to explore the influence of combinations of explanatory variables, represented by responses to the questionnaire, on the behaviornof the target variable of the questionnaire. In this paper, an automated approach to histogram comparison is proposed based on coding combinations of data and detecting significant differences in frequencies using the Marascuilo procedure. This is the main contribution of the paper. The approach is validated using a simulated questionnaire in which respondents answered regarding their intention to purchase an electric vehicle subject to finance, leasing, and charging availability, as well as their driving style. The results of the experiments are demonstrated.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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