IDEAS home Printed from https://ideas.repec.org/a/sae/amsocr/v88y2023i3p454-492.html

Clarity from Violence? Intragroup Aggression and the Structure of Status Hierarchies

Author

Listed:
  • James Chu

Abstract

Status hierarchies are fundamental forms of social order that structure peer interactions like intragroup aggression. The reciprocal relationship, however, remains unclear. Does intragroup aggression strengthen, or weaken, status hierarchies? Under what conditions? To answer these questions, I analyze an original dataset containing victimization and directed friendship networks of 8,229 adolescents across 256 classes and three semesters. Measuring the strength of status hierarchies by how likely friendship nominations are characterized by hierarchical triads, I show that peer aggression weakens status hierarchies, and temporal sequences indicate the results are unlikely to be explained by reverse causality. I theorize that clear status hierarchies emerge through coordinated reallocations of esteem, and peer aggression engenders hierarchy primarily by giving onlookers shared opportunities to coordinate. Peer aggression, however, is frequently ambiguous, and onlookers arrive at inconsistent interpretations, fragmenting how they assign esteem and reducing the clarity of status distinctions. Additional analyses confirm that whether peer aggression strengthens or weakens status hierarchies depends on the consistent perceptions of onlookers. Taken together, this research demonstrates the significance of third-party onlookers and their ability to consistently interpret interactions, while offering new explanations for when peer aggression is self-limiting or persistent.

Suggested Citation

  • James Chu, 2023. "Clarity from Violence? Intragroup Aggression and the Structure of Status Hierarchies," American Sociological Review, , vol. 88(3), pages 454-492, June.
  • Handle: RePEc:sae:amsocr:v:88:y:2023:i:3:p:454-492
    DOI: 10.1177/00031224231162867
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/00031224231162867
    Download Restriction: no

    File URL: https://libkey.io/10.1177/00031224231162867?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
    ---><---

    References listed on IDEAS

    as
    1. Steven Goodreau & James Kitts & Martina Morris, 2009. "Birds of a feather, or friend of a friend? using exponential random graph models to investigate adolescent social networks," Demography, Springer;Population Association of America (PAA), vol. 46(1), pages 103-125, February.
    2. Keele, Luke & Kelly, Nathan J., 2006. "Dynamic Models for Dynamic Theories: The Ins and Outs of Lagged Dependent Variables," Political Analysis, Cambridge University Press, vol. 14(2), pages 186-205, April.
    3. repec:nas:journl:v:115:y:2018:p:e3361-e3367 is not listed on IDEAS
    4. Lars Leszczensky & Tobias Wolbring, 2022. "How to Deal With Reverse Causality Using Panel Data? Recommendations for Researchers Based on a Simulation Study," Sociological Methods & Research, , vol. 51(2), pages 837-865, May.
    Full references (including those not matched with items on IDEAS)

    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. Helena Manger, 2025. "Benefits and Employees’ Work Effort: An Empirical Analysis of Non-monetary Incentives," SOEPpapers on Multidisciplinary Panel Data Research 1228, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Christopher Dick-Sagoe & Ernest Ngeh Tingum & Peter Asare-Nuamah & Denis N. Yuni & Nicholas Baidoo, 2025. "Central transfers and incentives to collect local revenue among the Central Region of Ghana’s local government officials: analysing the flypaper effect," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    3. Geeraert, Joke & Rocha, Luis E.C. & Vandeviver, Christophe, 2024. "The impact of violent behavior on co-offender selection: Evidence of behavioral homophily," Journal of Criminal Justice, Elsevier, vol. 94(C).
    4. Halldén, Filip & Hultberg, Anna & Ahmed, Ali & Uddin, Gazi Salah & Yahya, Muhammad & Troster, Victor, 2025. "The role of institutional quality on public renewable energy investments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 215(C).
    5. Deniz Aksoy, 2010. "Who gets what, when, and how revisited: Voting and proposal powers in the allocation of the EU budget," European Union Politics, , vol. 11(2), pages 171-194, June.
    6. Yen-Sheng Chiang & Yi-Chun Chang & Wei Weng, 2024. "To Blend in or Hide Out? A Network Analysis on Maritime Criminal Co-voyages in Taiwan," Journal of Quantitative Criminology, Springer, vol. 40(2), pages 373-393, June.
    7. Coustaury, Camille & Jeannot, Elias & Moreau, Adele & Nietge, Clotilde & Maharani, Asri & Richards, Lindsay & Präg, Patrick, 2023. "Subjective socioeconomic status and self-rated health in the English Longitudinal Study of Aging: A fixed-effects analysis☆☆We thank the anonymous reviewers of Social Science & Medicine for their helpful comments. Data (Phelps et al., 2020) used in t," Social Science & Medicine, Elsevier, vol. 336(C).
    8. Charles Courtemanche & Art Carden, 2014. "Competing with Costco and Sam's Club: Warehouse Club Entry and Grocery Prices," Southern Economic Journal, John Wiley & Sons, vol. 80(3), pages 565-585, January.
    9. Asatryan, Zareh & Castellón, César & Stratmann, Thomas, 2018. "Balanced budget rules and fiscal outcomes: Evidence from historical constitutions," Journal of Public Economics, Elsevier, vol. 167(C), pages 105-119.
    10. Davi-Arderius, Daniel & Schittekatte, Tim, 2023. "Carbon emissions impacts of operational network constraints: The case of Spain during the Covid-19 crisis," Energy Economics, Elsevier, vol. 128(C).
    11. David Granlund, 2022. "Direct and indirect savings from parallel imports in Sweden," Health Economics Review, Springer, vol. 12(1), pages 1-14, December.
    12. Marson, Marta & Savin, Ivan, 2022. "Complementary or adverse? Comparing development results of official funding from China and traditional donors in Africa," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 189-206.
    13. Tsai, Tsung-Han, 2016. "A Bayesian Approach to Dynamic Panel Models with Endogenous Rarely Changing Variables," Political Science Research and Methods, Cambridge University Press, vol. 4(3), pages 595-620, September.
    14. Linus Nyiwul & Zhining Hu & Niraj P. Koirala & Hannah Wasson, 2025. "Economic uncertainty and renewable energy investment," International Economics and Economic Policy, Springer, vol. 22(3), pages 1-36, July.
    15. Duxbury, Scott W, 2017. "Diagnosing Multicollinearity in Exponential Random Graph Models," OSF Preprints hz93j, Center for Open Science.
    16. Tom A. B. Snijders & Christian E. G. Steglich, 2015. "Representing Micro–Macro Linkages by Actor-based Dynamic Network Models," Sociological Methods & Research, , vol. 44(2), pages 222-271, May.
    17. Veremyev, Alexander & Boginski, Vladimir & Pasiliao, Eduardo L. & Prokopyev, Oleg A., 2022. "On integer programming models for the maximum 2-club problem and its robust generalizations in sparse graphs," European Journal of Operational Research, Elsevier, vol. 297(1), pages 86-101.
    18. Brandon Parsons & Joseph St. Marie & Robert Pauly, 2025. "Quantile via Moments Panel Data Analysis: Dissecting Political Regimes and the Spectrum of Internal Conflicts," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 51(2), pages 268-307, April.
    19. Cornelius Fritz & Michael Lebacher & Göran Kauermann, 2020. "Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(3), pages 275-299, August.
    20. Gugler, Klaus & Haxhimusa, Adhurim, 2019. "Market integration and technology mix: Evidence from the German and French electricity markets," Energy Policy, Elsevier, vol. 126(C), pages 30-46.

    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:sae:amsocr:v:88:y:2023:i:3:p:454-492. 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: SAGE Publications (email available below). General contact details of provider: .

    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.