Interpretation of compositional regression with application to time budget analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F18%3A73589127" target="_blank" >RIV/61989592:15210/18:73589127 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15310/18:73589127
Result on the web
<a href="https://www.ajs.or.at/index.php/ajs/article/view/vol47-2-1" target="_blank" >https://www.ajs.or.at/index.php/ajs/article/view/vol47-2-1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17713/ajs.v47i2.652" target="_blank" >10.17713/ajs.v47i2.652</a>
Alternative languages
Result language
angličtina
Original language name
Interpretation of compositional regression with application to time budget analysis
Original language description
Regression with compositional response or covariates, or even regression between parts of a composition, is frequently employed in social sciences. Among other possible applications, it may help to reveal interesting features in time allocation analysis. As individual activities represent relative contributions to the total amount of time, statistical processing of raw data (frequently represented directly as proportions or percentages) using standard methods may lead to biased results. Speci c geometrical features of time budget variables are captured by the logratio methodology of compositional data, whose aim is to build (preferably orthonormal) coordinates to be applied with popular statistical methods. The aim of this paper is to present recent tools of regression analysis within the logratio methodology and apply them to reveal potential relationships among psychometric indicators in a real-world data set. In particular, orthogonal logratio coordinates have been introduced to enhance the interpretability of coefficients in regression models.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/EE2.3.20.0170" target="_blank" >EE2.3.20.0170: Building of Research Team in the Field of Environmental Modeling and the Use of Geoinformation Systems with the Consequence in Participation in International Networks and Programs</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Austrian Journal of Statistics
ISSN
1026-597X
e-ISSN
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Volume of the periodical
47
Issue of the periodical within the volume
2
Country of publishing house
AT - AUSTRIA
Number of pages
17
Pages from-to
3-19
UT code for WoS article
000428773200002
EID of the result in the Scopus database
2-s2.0-85041739195