Longitudinal modeling of population heterogeneity: Methodological challenges to the analysis of empirically derived criminal trajectory profiles

[1]  D. Farrington,et al.  Criminal, penal and life histories of chronic offenders: risk and protective factors and early identification , 1993 .

[2]  D. Hedeker,et al.  A random-effects ordinal regression model for multilevel analysis. , 1994, Biometrics.

[3]  J. Heckman,et al.  A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data , 1984 .

[4]  Michael R. Gottfredson,et al.  Age and the Explanation of Crime , 1983, American Journal of Sociology.

[5]  B. Muthén.  Latent Variable Mixture Modeling , 2001 .

[6]  P. Deb.  Finite Mixture Models , 2008 .

[7]  Stephen W. Raudenbush,et al.  How Do We Study “What Happens Next”? , 2005 .

[8]  T. Moffitt,et al.  LIFE-COURSE TRAJECTORIES OF DIFFERENT TYPES OF OFFENDERS* , 1995 .

[9]  K. Land,et al.  AGE, CRIMINAL CAREERS, AND POPULATION HETEROGENEITY: SPECIFICATION AND ESTIMATION OF A NONPARAMETRIC, MIXED POISSON MODEL* , 1993 .

[10]  Richard E. Tremblay,et al.  DEVELOPMENTAL TRAJECTORY GROUPS: FACT OR A USEFUL STATISTICAL FICTION?* , 2005 .

[11]  T. Moffitt.  Adolescence-limited and life-course-persistent antisocial behavior: a developmental taxonomy. , 1993, Psychological review.

[12]  Alex R. Piquero,et al.  On the Development of Different Kinds of Criminal Activity , 2001 .

[13]  Diane Lambert,et al.  Zero-inflacted Poisson regression, with an application to defects in manufacturing , 1992 .

[14]  D. Hall.  Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study , 2000, Biometrics.

[15]  M. Aitkin.  A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models , 1999, Biometrics.

[16]  Frauke Kreuter,et al.  Analyzing Criminal Trajectory Profiles: Bridging Multilevel and Group-based Approaches Using Growth Mixture Modeling , 2008 .

[17]  D. Fergusson,et al.  Male and female offending trajectories , 2002, Development and Psychopathology.

[18]  Bengt Muthén,et al.  Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data , 2004 .

[19]  G. Schwarz.  Estimating the Dimension of a Model , 1978 .

[20]  Richard Goldstein.  Latent Class and Discrete Latent Trait Models: Similarities and Differences , 1998 .

[21]  M. Wolfgang,et al.  Delinquency Careers in Two Birth Cohorts , 1990 .

[22]  Bengt Muthén,et al.  Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class–latent growth modeling. , 2001 .

[23]  B. Muthén,et al.  Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm , 1999, Biometrics.

[24]  Robert J. Sampson,et al.  SEDUCTIONS OF METHOD: REJOINDER TO NAGIN AND TREMBLAY'S "DEVELOPMENTAL TRAJECTORY GROUPS: FACT OR FICTION?" , 2005 .

[25]  S. Bushway,et al.  Assessing Stability and Change in Criminal Offending: A Comparison of Random Effects, Semiparametric, and Fixed Effects Modeling Strategies , 1999 .

[26]  D. Rubin,et al.  Testing the number of components in a normal mixture , 2001 .

[27]  K. Land,et al.  How Many Latent Classes of Delinquent/ Criminal Careers? Results from Mixed Poisson Regression Analyses1 , 1998, American Journal of Sociology.

[28]  David P. Farrington,et al.  The Cambridge Study in Delinquent Development: A Long-Term Follow-Up of 411 London Males , 1990 .

[29]  B. Muthén,et al.  Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study , 2007 .

[30]  Kathryn Roeder,et al.  Modeling Uncertainty in Latent Class Membership: A Case Study in Criminology , 1999 .

[31]  R. Berk.  Regression Analysis: A Constructive Critique , 2003 .

[32]  Anthony S. Bryk,et al.  Hierarchical Linear Models: Applications and Data Analysis Methods , 1992 .

[33]  P. Nieuwbeerta,et al.  THE EFFECTS OF LIFE CIRCUMSTANCES ON LONGITUDINAL TRAJECTORIES OF OFFENDING , 2005 .

[34]  B. Muthén.  BEYOND SEM: GENERAL LATENT VARIABLE MODELING , 2002 .