IDEAS home Printed from https://ideas.repec.org/a/eee/jcjust/v61y2019icp1-12.html
   My bibliography  Save this article

Will history repeat itself? Growth mixture modeling of suspected serial sexual offending using forensic DNA evidence

Author

Listed:
  • Campbell, Rebecca
  • Pierce, Steven J.
  • Ma, Wenjuan
  • Feeney, Hannah
  • Goodman-Williams, Rachael
  • Sharma, Dhruv B.

Abstract

Sexual offenders often commit more than one sexual assault, but there is variability in how many assaults they commit and in what pattern over time. Trajectory modeling studies typically use criminal history records as a data source to model perpetrators' sexual assault convictions, but this may underestimate the scope of offending because so few sexual assaults result in a conviction.

Suggested Citation

  • Campbell, Rebecca & Pierce, Steven J. & Ma, Wenjuan & Feeney, Hannah & Goodman-Williams, Rachael & Sharma, Dhruv B., 2019. "Will history repeat itself? Growth mixture modeling of suspected serial sexual offending using forensic DNA evidence," Journal of Criminal Justice, Elsevier, vol. 61(C), pages 1-12.
  • Handle: RePEc:eee:jcjust:v:61:y:2019:i:c:p:1-12
    DOI: 10.1016/j.jcrimjus.2019.01.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0047235218304586
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jcrimjus.2019.01.004?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. 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.
    2. Wang, Chen-Pin & Hendricks Brown, C. & Bandeen-Roche, Karen, 2005. "Residual Diagnostics for Growth Mixture Models: Examining the Impact of a Preventive Intervention on Multiple Trajectories of Aggressive Behavior," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1054-1076, September.
    3. Lovell, Rachel & Luminais, Misty & Flannery, Daniel J. & Overman, Laura & Huang, Duoduo & Walker, Tiffany & Clark, Dan R., 2017. "Offending patterns for serial sex offenders identified via the DNA testing of previously unsubmitted sexual assault kits," Journal of Criminal Justice, Elsevier, vol. 52(C), pages 68-78.
    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. Shaw, Jessica & Coates, Victoria & Janulis, Patrick, 2020. "High rates of sexual assault kit submission and the important role of place," Journal of Criminal Justice, Elsevier, vol. 67(C).
    2. Strom, Kevin & Scott, Thomas & Feeney, Hannah & Young, Amanda & Couzens, Lance & Berzofsky, Marcus, 2021. "How much justice is denied? An estimate of unsubmitted sexual assault kits in the United States," Journal of Criminal Justice, Elsevier, vol. 73(C).

    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. Teng Fei & John Hanfelt & Limin Peng, 2023. "Evaluating the association between latent classes and competing risks outcomes with multiphenotype data," Biometrics, The International Biometric Society, vol. 79(1), pages 488-501, March.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. Scurich, Nicholas & Gongola, Jennifer, 2021. "Prevalence of polymorphism (“crossover”) among sexual offenders," Journal of Criminal Justice, Elsevier, vol. 77(C).
    10. 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.
    11. 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.
    12. 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).
    13. Janne Petersen & Karen Bandeen-Roche & Esben Budtz-Jørgensen & Klaus Groes Larsen, 2012. "Predicting Latent Class Scores for Subsequent Analysis," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 244-262, April.
    14. Gugerty, Mary Kay & Mitchell, George E. & Santamarina, Francisco J., 2021. "Discourses of evaluation: Institutional logics and organizational practices among international development agencies," World Development, Elsevier, vol. 146(C).
    15. Pallant, Jason I. & Pallant, Jessica L. & Sands, Sean J. & Ferraro, Carla R. & Afifi, Eslam, 2022. "When and how consumers are willing to exchange data with retailers: An exploratory segmentation," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    16. Kondo, Fumiyo N. & Okubo, Taishi, 2022. "Understanding multi-channel consumer behavior: A comparison between segmentations of multi-channel purchases by product category and overall products," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    17. Daxini, Amar & O’Donoghue, Cathal & Ryan, Mary & Buckley, Cathal & Barnes, Andrew P., 2018. "Factors influencing farmers' intentions to adopt nutrient management planning: accounting for heterogeneity," 166th Seminar, August 30-31, 2018, Galway, West of Ireland 276183, European Association of Agricultural Economists.
    18. Susan Yoon & Fei Pei & Juan Lorenzo Benavides & Alexa Ploss & Jessica Logan & Sherry Hamby, 2022. "The Long-Term Effects of Early Childhood Resilience Profiles on School Outcomes among Children in the Child Welfare System," IJERPH, MDPI, vol. 19(10), pages 1-14, May.
    19. Rong Yang & Danlin Li & Jie Hu & Run Tian & Yuhui Wan & Fangbiao Tao & Jun Fang & Shichen Zhang, 2019. "Association between Health Literacy and Subgroups of Health Risk Behaviors among Chinese Adolescents in Six Cities: A Study Using Regression Mixture Modeling," IJERPH, MDPI, vol. 16(19), pages 1-14, September.
    20. Pamela Qualter & Kimberly Petersen & Manuela Barreto & Christina Victor & Claudia Hammond & Sana-Arub Arshad, 2021. "Exploring the Frequency, Intensity, and Duration of Loneliness: A Latent Class Analysis of Data from the BBC Loneliness Experiment," IJERPH, MDPI, vol. 18(22), pages 1-21, November.

    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:61:y:2019:i:c:p:1-12. 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.