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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%3A15310%2F18%3A73589127" target="_blank" >RIV/61989592:15310/18:73589127 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989592:15210/18:73589127

  • Result on the web

    <a href="http://dx.doi.org/10.17713/ajs.v47i2.652" target="_blank" >http://dx.doi.org/10.17713/ajs.v47i2.652</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

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • 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

  • 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