IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v146y2019i1d10.1007_s11205-018-1898-z.html
   My bibliography  Save this article

External Information Model in a Compositional Perspective: Evaluation of Campania Adolescents’ Preferences in the Allocation of Leisure-Time

Author

Listed:
  • Maria Anna Di Palma

    (University of Naples “L’Orientale” - DISUS)

  • Michele Gallo

    (University of Naples “L’Orientale” - DISUS)

Abstract

The study of preferences of leisure-time activities provides important information on the characteristics and inclinations of specific demographics. Modeling these data offers a useful insight in the identification of service demand and thus helps to define effective social strategies. Individual preferences concerning leisure-time activities of Campania region high school students are here analyzed, as expressions of a subjective perception of time and as a result of external constraints on choices. The main approach concerns: first, analyze individual changes in the allocation of time among different leisure activities and second, discern the role that external factors play in determining adolescents’ preferences. The duality of the issue is addressed considering the allocation of time as a budget-time problem where individual leisure time activities constitute relative contributions to the total amount of time, adding to the model the specific characteristics of the respondents. More specifically, a methodology that combines regression and multivariate analysis (External Information model) is reformulated in a compositional framework. The usefulness of the compositional approach is to preserve the adolescents’ statements of preferences leading to a correct outcome when the External Information model is performed. Results provided evidences that gender is an important factor of influence on adolescents’ choices as well as the compound of parents’ level of education and the total amount of free-time spent in a day by each individual considered.

Suggested Citation

  • Maria Anna Di Palma & Michele Gallo, 2019. "External Information Model in a Compositional Perspective: Evaluation of Campania Adolescents’ Preferences in the Allocation of Leisure-Time," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 117-133, November.
    • Handle: RePEc:spr:soinre:v:146:y:2019:i:1:d:10.1007_s11205-018-1898-z
    DOI: 10.1007/s11205-018-1898-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-018-1898-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11205-018-1898-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Mark Aguiar & Erik Hurst, 2009. "A Summary of Trends in American Time Allocation: 1965–2005," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 93(1), pages 57-64, August.
    2. Yoshio Takane & Tadashi Shibayama, 1991. "Principal component analysis with external information on both subjects and variables," Psychometrika, Springer;The Psychometric Society, vol. 56(1), pages 97-120, March.
    3. Zhou Hui-fen & Li Zhen-shan & Xue Dong-qian & Lei Yang, 2012. "Time Use Patterns Between Maintenance, Subsistence and Leisure Activities: A Case Study in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(1), pages 121-136, January.
    4. Hron, K. & Templ, M. & Filzmoser, P., 2010. "Imputation of missing values for compositional data using classical and robust methods," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3095-3107, December.
    5. M. Gallo & A. Buccianti, 2013. "Weighted principal component analysis for compositional data: application example for the water chemistry of the Arno river (Tuscany, central Italy)," Environmetrics, John Wiley & Sons, Ltd., vol. 24(4), pages 269-277, June.
    6. John Aitchison & Michael Greenacre, 2002. "Biplots of compositional data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 51(4), pages 375-392, October.
    7. Andreja Brajša-Žganec & Marina Merkaš & Iva Šverko, 2011. "Quality of Life and Leisure Activities: How do Leisure Activities Contribute to Subjective Well-Being?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 102(1), pages 81-91, May.
    8. Michele Gallo, 2015. "Tucker3 Model for Compositional Data," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 44(21), pages 4441-4453, November.
    9. Jane Fry & Tim Fry & Keith McLaren, 2000. "Compositional data analysis and zeros in micro data," Applied Economics, Taylor & Francis Journals, vol. 32(8), pages 953-959.
    10. Kimberly Fisher & John Robinson, 2009. "Average Weekly Time Spent in 30 Basic Activities Across 17 Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 93(1), pages 249-254, August.
    11. Kathleen Lloyd & Christopher Auld, 2002. "The Role of Leisure in Determining Quality of Life: Issues of Content and Measurement," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 57(1), pages 43-71, January.
    12. Violetta Simonacci & Michele Gallo, 2017. "Statistical tools for student evaluation of academic educational quality," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 565-579, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Violetta Simonacci & Michele Gallo, 2024. "Three-way principal balance analysis: algorithm and interpretation," Annals of Operations Research, Springer, vol. 342(3), pages 1429-1443, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Violetta Simonacci & Michele Gallo, 2024. "Three-way principal balance analysis: algorithm and interpretation," Annals of Operations Research, Springer, vol. 342(3), pages 1429-1443, November.
    2. Fatih Terzi & Handan Türkoğlu & Fulin Bölen & Perver Baran & Tayfun Salihoğlu, 2015. "Residents’ Perception of Cultural Activities as Quality of Life in Istanbul," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(1), pages 211-234, May.
    3. Zhou Hui-fen & Li Zhen-shan & Xue Dong-qian & Lei Yang, 2012. "Time Use Patterns Between Maintenance, Subsistence and Leisure Activities: A Case Study in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(1), pages 121-136, January.
    4. Okay Gunes & Armagan Tuna Aktuna-Gunes, 2015. "Satisfactory time use elasticities of demand and measuring well-being inequality through superposed utilities," Documents de travail du Centre d'Economie de la Sorbonne 15019, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    5. Pengfei Wang & Xiang Wei & Xu Yingwei & Cao Xiaodan, 2022. "The Impact of Residents' Leisure Time Allocation Mode on Individual Subjective Well-being: The Case of China," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(3), pages 1831-1866, June.
    6. Peter Filzmoser & Karel Hron & Matthias Templ, 2012. "Discriminant analysis for compositional data and robust parameter estimation," Computational Statistics, Springer, vol. 27(4), pages 585-604, December.
    7. Christian WEISMAYER & Ivo PONOCNY & Sabine SEDLACEK & Bernadette STROSS & Stefan DRESSLER, 2017. "The Relationship Between Natural Urban Surroundings And Residents’ Well-Being," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 12(1), pages 21-37, February.
    8. Violetta Simonacci & Michele Gallo, 2019. "Detecting Public Social Spending Patterns in Italy Using a Three-Way Relative Variation Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 205-219, November.
    9. Hossain, Mahbub & Asadullah, M. Niaz & Kambhampati, Uma, 2019. "Empowerment and life satisfaction: Evidence from Bangladesh," World Development, Elsevier, vol. 122(C), pages 170-183.
    10. Sunwoo Park & Hyejin Yoon & Chulmo Koo & Won Seok Lee, 2021. "Role of the Leisure Attributes of Shared Bicycles in Promoting Leisure Benefits and Quality of Life," Sustainability, MDPI, vol. 13(2), pages 1-11, January.
    11. David Newman & Louis Tay & Ed Diener, 2014. "Leisure and Subjective Well-Being: A Model of Psychological Mechanisms as Mediating Factors," Journal of Happiness Studies, Springer, vol. 15(3), pages 555-578, June.
    12. Oliviero Carboni & Paolo Russu, 2015. "Assessing Regional Wellbeing in Italy: An Application of Malmquist–DEA and Self-organizing Map Neural Clustering," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(3), pages 677-700, July.
    13. Linghan Zhang & Junyi Zhang, 2018. "Impacts of Leisure and Tourism on the Elderly’s Quality of Life in Intimacy: A Comparative Study in Japan," Sustainability, MDPI, vol. 10(12), pages 1-17, December.
    14. Yi Liu & Congping Li & Yuan Li, 2021. "Impact of leisure environmental supply on new urban pathology: a case study of Guangzhou and Zhuhai," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-13, December.
    15. Okay Gunes & Armagan Tuna Aktuna-Gunes, 2015. "Satisfactory time use elasticities of demand and measuring well-being inequality through superposed utilities," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01161880, HAL.
    16. Jelle Schoemaker, 2023. "A Review of Well-Being Valuation for Sports, Culture and Leisure Activities," Sustainability, MDPI, vol. 15(6), pages 1-12, March.
    17. Okay Gunes & Armagan Tuna Aktuna-Gunes, 2015. "Satisfactory time use elasticities of demand and measuring well-being inequality through superposed utilities," Post-Print halshs-01161880, HAL.
    18. Juan José Egozcue & Vera Pawlowsky-Glahn, 2019. "Compositional data: the sample space and its structure," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(3), pages 599-638, September.
    19. M. Templ & K. Hron & P. Filzmoser, 2017. "Exploratory tools for outlier detection in compositional data with structural zeros," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(4), pages 734-752, March.
    20. Sangjoon Shin & Kyujin Jung, 2020. "Mediating Role of Community Participation between Physical Environments, Social Relationships, Social Conflicts, and Quality of Life: Evidence from South Korea," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(5), pages 1433-1450, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:soinre:v:146:y:2019:i:1:d:10.1007_s11205-018-1898-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.