IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v134y2017i2d10.1007_s11205-016-1443-x.html
   My bibliography  Save this article

Relational Resources of Individuals Living in Couple: Evidence from an Italian Survey

Author

Listed:
  • Viviana Amati

    (University of Konstanz)

  • Silvia Meggiolaro

    (University of Padua)

  • Giulia Rivellini

    (Catholic University)

  • Susanna Zaccarin

    (University of Trieste)

Abstract

The need for support becomes stronger in situations of pressure, uncertainty and overload caused by unfavorable economic, demographic or social circumstances. Especially in countries—such as Italy—where an adequate welfare system is lacking, the individual’s social space can represent a resilience (anti-frailty) tool through the activation of a support network. While the literature has mainly analyzed the support that some vulnerable categories (e.g., elderly and youths) receive from their family, we focus on individuals living in Italy in the first stages of their family life, with the aim of describing their support network. We construct the potential support ego-centered (PSE) network—at partner and couple level—of individuals living in couple using data from the survey “Family and Social Subjects” carried out in Italy in 2009 by the Italian National Statistical Institute. Furthermore, we compare the network typologies detected using two alternative clustering techniques with the objective of finding the partners’ and couples’ network types and verifying whether traditional strong support received by the family persists in Italy and/or whether new kinds of support networks are emerging. Several PSE network typologies, ranging from empty to comprehensive networks, were determined with a fair match between the two procedures. Analysis revealed the importance of friends and neighbors, especially in the North of Italy, to the support of partners and couple as a whole.

Suggested Citation

  • Viviana Amati & Silvia Meggiolaro & Giulia Rivellini & Susanna Zaccarin, 2017. "Relational Resources of Individuals Living in Couple: Evidence from an Italian Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(2), pages 547-590, November.
    • Handle: RePEc:spr:soinre:v:134:y:2017:i:2:d:10.1007_s11205-016-1443-x
    DOI: 10.1007/s11205-016-1443-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-016-1443-x
    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/s11205-016-1443-x?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Ulrik Brandes & Jürgen Lerner & Uwe Nagel, 2011. "Network ensemble clustering using latent roles," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 5(2), pages 81-94, July.
    2. Sylvia Keim & Andreas Klärner & Laura Bernardi, 2009. "Fertility-relevant social networks: composition, structure, and meaning of personal relationships for fertility intentions," MPIDR Working Papers WP-2009-006, Max Planck Institute for Demographic Research, Rostock, Germany.
    3. Berkman, Lisa F. & Glass, Thomas & Brissette, Ian & Seeman, Teresa E., 2000. "From social integration to health: Durkheim in the new millennium," Social Science & Medicine, Elsevier, vol. 51(6), pages 843-857, September.
    4. Christoph Bühler & Ewa Fratczak, 2004. "Social capital and fertility intentions: the case of Poland," MPIDR Working Papers WP-2004-012, Max Planck Institute for Demographic Research, Rostock, Germany.
    5. Giuseppe A. Micheli, 2000. "Kinship, family and social network," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 3(13).
    6. anonymous, 1981. "Tax indexation," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 44, january/f.
    7. Viviana Amati & Giulia Rivellini & Susanna Zaccarin, 2015. "Potential and Effective Support Networks of Young Italian Adults," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(3), pages 807-831, July.
    8. Lawrence Hubert & Phipps Arabie, 1985. "Comparing partitions," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 193-218, December.
    9. Pearl A. Dykstra & Christoph Bühler & Tineke Fokkema & Gregor Petrič & Rok Platinovšek & Tina Kogovšek & Valentina Hlebec, 2016. "Social network indices in the Generations and Gender Survey," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 34(35), pages 995-1036.
    10. Anil Chaturvedi & Paul E. Green & J. Douglas Caroll, 2001. "K-modes Clustering," Journal of Classification, Springer;The Classification Society, vol. 18(1), pages 35-55, January.
    11. Katherine L. Fiori & Jacqui Smith & Toni C. Antonucci, 2007. "Social Network Types Among Older Adults: A Multidimensional Approach," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 62(6), pages 322-330.
    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. Masood A. Badri & Mugheer Alkhaili & Hamad Aldhaheri & Guang Yang & Muna Albahar & Asma Alrashdi, 2022. "Exploring the Reciprocal Relationships between Happiness and Life Satisfaction of Working Adults—Evidence from Abu Dhabi," IJERPH, MDPI, vol. 19(6), pages 1-14, March.
    2. Elvira Pelle & Roberta Pappadà, 2021. "A clustering procedure for mixed-type data to explore ego network typologies: an application to elderly people living alone in Italy," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(5), pages 1507-1533, December.
    3. Elvira Pelle & Susanna Zaccarin & Emanuela Furfaro & Giulia Rivellini, 2022. "Support provided by elderly in Italy: a hierarchical analysis of ego networks controlling for alter–overlapping," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 133-158, March.
    4. Emanuela Furfaro & Giulia Rivellini & Laura Terzera, 2020. "Social Support Networks for Childcare Among Foreign Women in Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(1), pages 181-204, August.

    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. Elvira Pelle & Roberta Pappadà, 2021. "A clustering procedure for mixed-type data to explore ego network typologies: an application to elderly people living alone in Italy," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(5), pages 1507-1533, December.
    2. Vonneilich, Nico & Lüdecke, Daniel & von dem Knesebeck, Olaf, 2020. "Educational inequalities in self-rated health and social relationships – analyses based on the European Social Survey 2002-2016," Social Science & Medicine, Elsevier, vol. 267(C).
    3. Nicoletta Balbo & Francesco C. Billari & Melinda Mills, 2013. "Fertility in Advanced Societies: A Review of Research," European Journal of Population, Springer;European Association for Population Studies, vol. 29(1), pages 1-38, February.
    4. Elvira Pelle & Susanna Zaccarin & Emanuela Furfaro & Giulia Rivellini, 2022. "Support provided by elderly in Italy: a hierarchical analysis of ego networks controlling for alter–overlapping," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 133-158, March.
    5. Ellwardt, Lea & Van Tilburg, Theo G. & Aartsen, Marja J., 2015. "The mix matters: Complex personal networks relate to higher cognitive functioning in old age," Social Science & Medicine, Elsevier, vol. 125(C), pages 107-115.
    6. Pearl A. Dykstra & Christoph Bühler & Tineke Fokkema & Gregor Petrič & Rok Platinovšek & Tina Kogovšek & Valentina Hlebec, 2016. "Social network indices in the Generations and Gender Survey," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 34(35), pages 995-1036.
    7. Li, Ting & Zhang, Yanlong, 2015. "Social network types and the health of older adults: Exploring reciprocal associations," Social Science & Medicine, Elsevier, vol. 130(C), pages 59-68.
    8. Shiovitz-Ezra, Sharon & Litwin, Howard, 2012. "Social network type and health-related behaviors: Evidence from an American national survey," Social Science & Medicine, Elsevier, vol. 75(5), pages 901-904.
    9. Li, Ting & Yang, Yang Claire & Zhang, Yanlong, 2018. "Culture, economic development, social-network type, and mortality: Evidence from Chinese older adults," Social Science & Medicine, Elsevier, vol. 204(C), pages 23-30.
    10. Leisch, Friedrich, 2006. "A toolbox for K-centroids cluster analysis," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 526-544, November.
    11. Ivaylo Vassilev & Anne Rogers & Anne Kennedy & Michel Wensing & Jan Koetsenruijter & Rosanna Orlando & Maria Carmen Portillo & David Culliford, 2016. "Social Network Type and Long-Term Condition Management Support: A Cross-Sectional Study in Six European Countries," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-15, August.
    12. Isabella Morlini & Sergio Zani, 2012. "A New Class of Weighted Similarity Indices Using Polytomous Variables," Journal of Classification, Springer;The Classification Society, vol. 29(2), pages 199-226, July.
    13. Wu, Han-Ming & Tien, Yin-Jing & Chen, Chun-houh, 2010. "GAP: A graphical environment for matrix visualization and cluster analysis," Computational Statistics & Data Analysis, Elsevier, vol. 54(3), pages 767-778, March.
    14. José E. Chacón, 2021. "Explicit Agreement Extremes for a 2 × 2 Table with Given Marginals," Journal of Classification, Springer;The Classification Society, vol. 38(2), pages 257-263, July.
    15. Roberto Rocci & Stefano Antonio Gattone & Roberto Di Mari, 2018. "A data driven equivariant approach to constrained Gaussian mixture modeling," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(2), pages 235-260, June.
    16. Redivo, Edoardo & Nguyen, Hien D. & Gupta, Mayetri, 2020. "Bayesian clustering of skewed and multimodal data using geometric skewed normal distributions," Computational Statistics & Data Analysis, Elsevier, vol. 152(C).
    17. Alessandro Rosina & Romina Fraboni, 2004. "Is marriage losing its centrality in Italy?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 11(6), pages 149-172.
    18. Zhu, Xuwen & Melnykov, Volodymyr, 2018. "Manly transformation in finite mixture modeling," Computational Statistics & Data Analysis, Elsevier, vol. 121(C), pages 190-208.
    19. Amiri, Babak & Karimianghadim, Ramin, 2024. "A novel text clustering model based on topic modelling and social network analysis," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    20. Li, Pai-Ling & Chiou, Jeng-Min, 2011. "Identifying cluster number for subspace projected functional data clustering," Computational Statistics & Data Analysis, Elsevier, vol. 55(6), pages 2090-2103, June.

    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:134:y:2017:i:2:d:10.1007_s11205-016-1443-x. 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.