IDEAS home Printed from https://ideas.repec.org/a/spr/jhappi/v22y2021i3d10.1007_s10902-020-00270-4.html
   My bibliography  Save this article

A Person-Centered Analysis of Change in Children’s Peer Optimism and Its Relation to Peer Social Competence

Author

Listed:
  • Daneen P. Deptula

    (Fitchburg State University)

  • Gabrielle G. Banks

    (University of Mississippi Medical Center)

  • Sarah E. Barnes

    (Warren Alpert Medical School of Brown University/Bradley Hospital)

  • Robert Cohen

    (University of Memphis)

Abstract

Children’s peer optimism has been shown to be associated with a variety of positive social outcomes, but little is known about changes in peer optimism over time and if these changes relate to peer social competence. Based on a sample of 114 children (children in grades 3 and 4 reassessed in grades 4 and 5) (girls = 62; boys = 52), Growth Mixture Modeling identified two profiles of children based on reported peer optimism: a group with a relatively low level of optimism that remained low (n = 45; Low/Stable); and a group with high optimism that increased over time (n = 69; High/Increasing). Comparing the social competence of children in the two profiles, children in the High/Increasing group reported greater self-social competence; were more liked and more popular by peers; and engaged in less relational aggression and withdrawal. Children in the Low/Stable group increased in overt aggression, and girls reported greater loneliness. In sum, this person-centered research empirically identified two groups of children who differed in their peer optimism from one school year to the next (low and stayed low vs high and got higher). Furthermore, group membership predicted changes in peer social functioning.

Suggested Citation

  • Daneen P. Deptula & Gabrielle G. Banks & Sarah E. Barnes & Robert Cohen, 2021. "A Person-Centered Analysis of Change in Children’s Peer Optimism and Its Relation to Peer Social Competence," Journal of Happiness Studies, Springer, vol. 22(3), pages 1217-1238, March.
    • Handle: RePEc:spr:jhappi:v:22:y:2021:i:3:d:10.1007_s10902-020-00270-4
    DOI: 10.1007/s10902-020-00270-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10902-020-00270-4
    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/s10902-020-00270-4?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. Adelle X. Yang & Oleg Urminsky, 2015. "The Foresight Effect: Local Optimism Motivates Consistency and Local Pessimism Motivates Variety," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 42(3), pages 361-377.
    2. Vermunt, Jeroen K., 2010. "Latent Class Modeling with Covariates: Two Improved Three-Step Approaches," Political Analysis, Cambridge University Press, vol. 18(4), pages 450-469.
    3. Kimberly Thomson & Kimberly Schonert-Reichl & Eva Oberle, 2015. "Optimism in Early Adolescence: Relations to Individual Characteristics and Ecological Assets in Families, Schools, and Neighborhoods," Journal of Happiness Studies, Springer, vol. 16(4), pages 889-913, August.
    4. Stanley Sclove, 1987. "Application of model-selection criteria to some problems in multivariate analysis," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 333-343, September.
    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. Yu, Qinyao, 2022. "Simulation of the interactive prediction of contemporary social change and religious socialization based on big data," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    2. Ana Blasco-Belled & Radosław Rogoza & Cristina Torrelles-Nadal & Carles Alsinet, 2022. "Differentiating Optimists from Pessimists in the Prediction of Emotional Intelligence, Happiness, and Life Satisfaction: A Latent Profile Analysis," Journal of Happiness Studies, Springer, vol. 23(5), pages 2371-2387, June.

    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. Dave Bouckenooghe & Dirk De Clercq & Usman Raja, 2019. "A person-centered, latent profile analysis of psychological capital," Australian Journal of Management, Australian School of Business, vol. 44(1), pages 91-108, February.
    2. Yi-Jhen Wu & Yi-Hsin Chen & Sarah M. Kiefer & Claus H. Carstensen, 2021. "Learning Strategies as Moderators Between Motivation and Mathematics Performance in East Asian Students: Latent Class Analysis," SAGE Open, , vol. 11(4), pages 21582440211, November.
    3. Tian, Amy Wei & Meyer, John P. & Ilic-Balas, Tatjana & Espinoza, Jose A. & Pepper, Susan, 2023. "In search of the pseudo-transformational leader: A person-centered approach," Journal of Business Research, Elsevier, vol. 158(C).
    4. Martin Lukac & Nadja Doerflinger & Valeria Pulignano, 2019. "Developing a Cross-National Comparative Framework for Studying Labour Market Segmentation: Measurement Equivalence with Latent Class Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(1), pages 233-255, August.
    5. Diana Kwarikunda & Ulrich Schiefele & Charles Magoba Muwonge & Joseph Ssenyonga, 2022. "Profiles of learners based on their cognitive and metacognitive learning strategy use: occurrence and relations with gender, intrinsic motivation, and perceived autonomy support," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    6. Palma, Marco A. & Ness, Meghan L. & Anderson, David P., 2015. "Buying More than Taste? A Latent Class Analysis of Health and Prestige Determinants of Healthy Food," 2015 Conference (59th), February 10-13, 2015, Rotorua, New Zealand 202566, Australian Agricultural and Resource Economics Society.
    7. Fetene B. Tekle & Dereje W. Gudicha & Jeroen K. Vermunt, 2016. "Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models," 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. 10(2), pages 209-224, June.
    8. 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.
    9. Layland, Eric K. & Maggs, Jennifer L. & Kipke, Michele D. & Bray, Bethany C., 2022. "Intersecting racism and homonegativism among sexual minority men of color: Latent class analysis of multidimensional stigma with subgroup differences in health and sociostructural burdens," Social Science & Medicine, Elsevier, vol. 293(C).
    10. Jennifer Oser & Marc Hooghe & Zsuzsa Bakk & Roberto Mari, 2023. "Changing citizenship norms among adolescents, 1999-2009-2016: A two-step latent class approach with measurement equivalence testing," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4915-4933, October.
    11. Schreier, Alayna & Stenersen, Madeline R. & Strambler, Michael J. & Marshall, Tim & Bracey, Jeana & Kaufman, Joy S., 2023. "Needs of caregivers of youth enrolled in a statewide system of care: A latent class analysis," Children and Youth Services Review, Elsevier, vol. 147(C).
    12. Peña, Guillermo & Puente-Ajovín, Miguel & Ramos, Arturo & Sanz-Gracia, Fernando, 2022. "Log-growth rates of CO2: An empirical analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    13. Sasso, Alessandro & Hernández-Alava, Mónica & Holmes, John & Field, Matt & Angus, Colin & Meier, Petra, 2022. "Strategies to cut down drinking, alcohol consumption, and usual drinking frequency: Evidence from a British online market research survey," Social Science & Medicine, Elsevier, vol. 310(C).
    14. Sarah R Lowe & Ethan J Raker & Mary C Waters & Jean E Rhodes, 2020. "Predisaster predictors of posttraumatic stress symptom trajectories: An analysis of low-income women in the aftermath of Hurricane Katrina," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-19, October.
    15. Aely Park & Youngmi Kim & Jennifer Murphy, 2023. "Adverse Childhood Experiences and Substance Use Among Korean College Students: Different by Gender?," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(4), pages 1811-1825, August.
    16. T. Gregory & E. Dal Grande & M. Brushe & D. Engelhardt & S. Luddy & M. Guhn & A. Gadermann & K.A. Schonert-Reichl & S. Brinkman, 2021. "Associations between School Readiness and Student Wellbeing: A Six-Year Follow Up Study," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(1), pages 369-390, February.
    17. Bakk, Zsuzsa & Kuha, Jouni, 2020. "Relating latent class membership to external variables: an overview," LSE Research Online Documents on Economics 107564, London School of Economics and Political Science, LSE Library.
    18. Herwig Immervoll & Daniele Pacifico & Marieke Vandeweyer, 2019. "Faces of joblessness in Australia: An anatomy of employment barriers using household data," OECD Social, Employment and Migration Working Papers 226, OECD Publishing.
    19. Sarah Brown & William Greene & Mark Harris, 2020. "A novel approach to latent class modelling: identifying the various types of body mass index individuals," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 983-1004, June.
    20. Chen, Runting & Huang, Yueyi & Yu, Meng, 2021. "The latent profile analysis of Chinese adolescents’ depression: Examination and validation," Children and Youth Services Review, Elsevier, vol. 125(C).

    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:jhappi:v:22:y:2021:i:3:d:10.1007_s10902-020-00270-4. 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.