IDEAS home Printed from https://ideas.repec.org/a/eee/jcjust/v43y2015i2p89-98.html
   My bibliography  Save this article

Beyond Traditional Interaction: Exploring the functional form of the exposure-offending association across online network size

Author

Listed:
  • McCuddy, Timothy
  • Vogel, Matt

Abstract

An emerging body of literature suggests online social networks (SNS) have the capacity to influence individual criminal behavior. However, there are fundamental differences between SNS and traditional peer groups. It is therefore likely that peer influence operates differently in SNS. The present study examines the role of network size and functional form of the relationship between individual and peer deviance in online networks.

Suggested Citation

  • McCuddy, Timothy & Vogel, Matt, 2015. "Beyond Traditional Interaction: Exploring the functional form of the exposure-offending association across online network size," Journal of Criminal Justice, Elsevier, vol. 43(2), pages 89-98.
    • Handle: RePEc:eee:jcjust:v:43:y:2015:i:2:p:89-98
    DOI: 10.1016/j.jcrimjus.2015.01.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0047235215000045
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jcrimjus.2015.01.002?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. Patrick Royston, 2005. "Multiple imputation of missing values: update," Stata Journal, StataCorp LP, vol. 5(2), pages 188-201, June.
    2. Patrick Royston, 2005. "Multiple imputation of missing values: Update of ice," Stata Journal, StataCorp LP, vol. 5(4), pages 527-536, December.
    3. Morris, Robert G. & Higgins, George E., 2010. "Criminological theory in the digital age: The case of social learning theory and digital piracy," Journal of Criminal Justice, Elsevier, vol. 38(4), pages 470-480, July.
    4. Patrick Royston, 2005. "MICE for multiple imputation of missing values," United Kingdom Stata Users' Group Meetings 2005 02, Stata Users Group.
    5. Wiecko, Filip M., 2010. "Research Note: Assessing the validity of college samples: Are students really that different?," Journal of Criminal Justice, Elsevier, vol. 38(6), pages 1186-1190, November.
    6. J. Scott Long & Jeremy Freese, 2006. "Regression Models for Categorical Dependent Variables using Stata, 2nd Edition," Stata Press books, StataCorp LP, edition 2, number long2, 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. Boman, John H. & Mowen, Thomas J., 2018. "Same feathers, different flocks: Breaking down the meaning of ‘behavioral Homophily’ in the etiology of crime," Journal of Criminal Justice, Elsevier, vol. 54(C), pages 30-40.

    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. Lee, Chioun & Ryff, Carol D., 2016. "Early parenthood as a link between childhood disadvantage and adult heart problems: A gender-based approach," Social Science & Medicine, Elsevier, vol. 171(C), pages 58-66.
    2. Denney, Justin T. & Brewer, Mackenzie & Kimbro, Rachel Tolbert, 2020. "Food insecurity in households with young children: A test of contextual congruence," Social Science & Medicine, Elsevier, vol. 263(C).
    3. Gerko Vink & Laurence E. Frank & Jeroen Pannekoek & Stef Buuren, 2014. "Predictive mean matching imputation of semicontinuous variables," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(1), pages 61-90, February.
    4. Watkins, Adam M. & Melde, Chris, 2018. "Gangs, gender, and involvement in crime, victimization, and exposure to violence," Journal of Criminal Justice, Elsevier, vol. 57(C), pages 11-25.
    5. Jason R. D. Rarick & Carly Tubbs Dolan & Wen‐Jui Han & Jun Wen, 2018. "Relations Between Socioeconomic Status, Subjective Social Status, and Health in Shanghai, China," Social Science Quarterly, Southwestern Social Science Association, vol. 99(1), pages 390-405, March.
    6. David W Lawson & Arijeta Makoli & Anna Goodman, 2013. "Sibling Configuration Predicts Individual and Descendant Socioeconomic Success in a Modern Post-Industrial Society," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-9, September.
    7. Brewer, Mackenzie & Kimbro, Rachel Tolbert, 2014. "Neighborhood context and immigrant children's physical activity," Social Science & Medicine, Elsevier, vol. 116(C), pages 1-9.
    8. Lee, RaeHyuck & Brooks-Gunn, Jeanne & Han, Wen-Jui & Waldfogel, Jane & Zhai, Fuhua, 2014. "Is participation in Head Start associated with less maternal spanking for boys and girls?," Children and Youth Services Review, Elsevier, vol. 46(C), pages 55-63.
    9. Lombardi, Caitlin McPherran, 2021. "Family income and mothers’ parenting quality: Within-family associations from infancy to late childhood," Children and Youth Services Review, Elsevier, vol. 120(C).
    10. Minda Tan & Shuiyun Liu, 2023. "A Way of Human Capital Accumulation: Heterogeneous Impact of Shadow Education on Students’ Academic Performance in China," SAGE Open, , vol. 13(4), pages 21582440231, November.
    11. Christopher F Baum, 2006. "An Introduction to Modern Econometrics using Stata," Stata Press books, StataCorp LP, number imeus, March.
    12. Emma Zang & Anthony R. Bardo, 2019. "Objective and Subjective Socioeconomic Status, Their Discrepancy, and Health: Evidence from East Asia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(2), pages 765-794, June.
    13. Álvaro Choi & María Gil & Mauro Mediavilla & Javier Valbuena, 2016. "Double toil and trouble: grade retention and academic performance," Working Papers 2016/7, Institut d'Economia de Barcelona (IEB).
    14. Shaun R. Seaman & Ian R. White & Andrew J. Copas & Leah Li, 2012. "Combining Multiple Imputation and Inverse-Probability Weighting," Biometrics, The International Biometric Society, vol. 68(1), pages 129-137, March.
    15. Schwartz, Joseph A. & Beaver, Kevin M., 2014. "A biosocial analysis of the sources of missing data in criminological research," Journal of Criminal Justice, Elsevier, vol. 42(6), pages 452-461.
    16. Richard Grieve & John Cairns & Simon G. Thompson, 2010. "Improving costing methods in multicentre economic evaluation: the use of multiple imputation for unit costs," Health Economics, John Wiley & Sons, Ltd., vol. 19(8), pages 939-954, August.
    17. repec:pri:crcwel:wp07-03-ff is not listed on IDEAS
    18. Michelle L. Frisco & Susana Quiros & Jennifer Hook, 2016. "One Size May Not Fit All: How Obesity Among Mexican-Origin Youth Varies by Generation, Gender, and Age," Demography, Springer;Population Association of America (PAA), vol. 53(6), pages 2031-2043, December.
    19. Corrado Barbui & Federico Tedeschi & Ceren Acarturk & Minna Anttila & Teresa Au & Josef Baumgartner & Ken Carswell & Rachel Churchill & Pim Cuijpers & Eirini Karyotaki & Thomas Klein & Markus Koesters, 2023. "Risk factors for mental disorder development in asylum seekers and refugees resettled in Western Europe and Turkey: Participant-level analysis of two large prevention studies," International Journal of Social Psychiatry, , vol. 69(3), pages 664-674, May.
    20. Petrit Gashi & Iraj Hashi & Geoff Pugh, 2014. "Export behaviour of SMEs in transition countries," Small Business Economics, Springer, vol. 42(2), pages 407-435, February.
    21. Michael King & Louise Marston & Igor Švab & Heidi-Ingrid Maaroos & Mirjam I Geerlings & Miguel Xavier & Vicente Benjamin & Francisco Torres-Gonzalez & Juan Angel Bellon-Saameno & Danica Rotar & Anu Al, 2011. "Development and Validation of a Risk Model for Prediction of Hazardous Alcohol Consumption in General Practice Attendees: The PredictAL Study," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-10, August.

    More about this item

    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:eee:jcjust:v:43:y:2015:i:2:p:89-98. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jcrimjus .

    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.