John R. Hipp is an Associate Professor in the department of Criminology, Law and Society at the University of California Irvine. He has previously taught a graduate-level Simultaneous Equation Models course during the summers at the Inter-University Consortium for Political and Social Research (ICPSR). His research interests focus on how neighborhoods change over time, how that change both affects and is affected by neighborhood crime, and the role networks and institutions play in that change. He approaches these questions using quantitative methods as well as social network analysis.
Professor Hipp's substantive research agenda focuses on the agents of change within neighborhoods and communities. This inherently multi-level question focuses on the determinants of household decisions for civic involvement or residential mobility: choosing civic involvement may result in a collective action solution to the problems facing a neighborhood, whereas choosing residential mobility may lead a downward spiral with increasing crime and disorder. His work has focused on how the networks of relations within a neighborhood can impact these civic involvement and residential mobility decisions. A general theme of this work is testing a possible dark side of "social capital" in which greater cohesion at the neighborhood level may lead to a withdrawal from the larger community. He worked as part of an interdisciplinary team focusing on the networks of residents in a recently developed community in North Carolina.
While Dr. Hipp focuses on substantive questions, a byproduct of this research agenda has been several methodological contributions. Much of his work uses structural equation models, and one project produced both a paper and software program available on his website allowing researchers to use a vanishing tetrads test when assessing the statistical appropriateness of their models. An outcome of his work as a member of the Carolina Structural Equation modeling group was developing a technique to estimate nonlinear latent trajectory models, allowing estimation of a random cosine function to test for seasonal fluctuations in crime in a paper in Social Forces. Employing a Monte Carlo research design (and specially written software to randomize start values of parameters) in a recent paper in Psychological Methods he demonstrated the deleterious effect of failing to thoroughly explore possible starting values for researchers using the currently popular growth mixture models.
Recent report on inequality in Orange County: http://www.cisj.ucicopc.org/PDF/Hipp_OC_Inequality_Studyl.pdf
Selected Publications
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Hipp, John R. (2010). “The role of crime in housing unit racial/ethnic transition.” Criminology Forthcoming.
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Boggess, Lyndsay N. and John R. Hipp. (2010). “Violent crime, residential instability and mobility: Does the relationship differ in minority neighborhoods?” Conditional acceptance. Journal of Quantitative Criminology.
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Hipp, John R. (2010). “Resident perceptions of crime: How much is ‘bias’ and how much is micro-neighborhood effect?” Criminology . Forthcoming.
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Hipp, John R. and Daniel K. Yates. (2009). “Do returning parolees affect neighborhood crime? A case study of Sacramento .” Criminology. 47(3): 619-656.
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Hipp, John R., Jesse Jannetta, Rita Shah, and Susan Turner. (2009). “Parolees’ physical closeness to health service providers: A study of California Parolees.” Health & Place. Forthcoming.
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Hipp, John R., George E. Tita, Robert T. Greenbaum. (2009). “Drive-bys and Trade-ups: Examining the Directionality of the Crime and Residential Instability Relationship.” Social Forces . 87(4): 1777-1812.
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Hipp, John R., George E. Tita, and Lyndsay N. Boggess. (2009). “Inter- and Intra-group interactions: The case of everyday violent crime as an expression of group conflict or social disorganization.” Criminology. 47(2): 521-564.
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Hipp, John R. (2009). “Specifying the Determinants of Neighborhood Satisfaction: A Robust Assessment in 24 Metropolitan Areas over Four Time Points.” Social Forces. Forthcoming.
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Hipp, John R., Jesse Jannetta, Rita Shah, and Susan Turner. (2008). “Parolees’ Physical Closeness to Social Services: A Study of California Parolees.” Crime & Delinquency. Forthcoming.
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Hipp, John R. and Andrew J. Perrin. (2008). "The Simultaneous Effect of Social Distance and Physical Distance on the Formation of Neighborhood Ties." City & Community. 8(1): 5-25.
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Hipp, John R. (2007). "Block. Tract, and Levels of Aggregation: Neighborhood Structure and Crime and Disorder as a Case in Point." American Sociological Review. 72(5): 659-680
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Hipp, John R. (2007). "Income Inequality, Race, and Place: Does the Distribution of Race and Class within Neighborhoods Affect Crime Rates?" Criminology. 45(3): 665-697
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Hipp, John R. and Andrew J. Perrin (2006). "Nested Loyalties: Local Networks' Effects on Neighborhood and Community Cohesion. Urban Studies. 43(13): 2503-2523
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Beyerlein, Kraig and John R. Hipp* (2006). "A Two-Stage Model for a Two-Stage Process: How Biographical Availability Matters for Social Movement Mobilization." Mobilization. 11(3): 219-240.
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Beyerlein, Kraig and John R. Hipp* (2006). "From Pews to Participation: The Effect of Congregation Activity and Context on Bridging Civic Engagement." Social Problems. 53(1): 97-117.
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Beyerlein, Kraig and John R. Hipp* (2005). "Social Capital, Too Much of a Good Thing? American Religious Traditions and Community Crime." Social Forces. 84(2): 995-1013.
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Hipp, John R., Daniel J. Bauer, Patrick J. Curran, and Kenneth A. Bollen (2004). "Crimes of Opportunity or Crimes of Emotion: Testing Two Explanations of Seasonal Change in Crime." Social Forces. 82(4): 1333-1372.
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Manuel Pastor, Jr., Jim Sadd, and John Hipp (2001). "Which Came First? Toxic Facilities, Minority Move-in, and Environmental Justice." Journal of Urban Affairs. 23(1): 1-21.
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Lakon, Cynthia M., Dionne C. Godette, and John R. Hipp. 2007. "Network-Based Approaches for Measuring Social Capital." in Social Capital and Health, edited by I. Kawachi, S. V. Subramanian, and D. Kim. New York: Springer.
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Hipp, John R. and Daniel J. Bauer (2006). "Local Solutions in the Estimation of Growth Mixture Models." Psychological Methods. 11(1): 36-53.
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Hipp, John R. and Kenneth A. Bollen (2003). "Model Fit in Structural Equation Models with Censored, Ordinal, and Dichotomous Variables: Testing Vanishing Tetrads." Sociological Methodology. 33: 267-305.
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Hipp, John R., Daniel J. Bauer, and Kenneth A. Bollen (2005). "Conducting Tetrad Tests of Model Fit and Contrasts of Tetrad-Nested Models: A New SAS Macro." Structural Equation Modeling. 12(1): 76-93.
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Guo, Guang and John R. Hipp. (2004). "Analysis of Linear Longitudinal Data." Pp. 347-368 in New Handbook on Data Analysis, edited by M.A. Hardy. London: Sage.
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* denotes equal author contribution