Cited by 4,164Statistical Methods and Bayesian InferenceBayesian Methods and Mixture ModelsPsychometric Methodologies and Testing

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Group-Based Modeling of Development

NAGIN, Daniel·2005·Harvard University Press eBooks

DOI 10.4159/9780674041318

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Abstract

This book provides a systematic exposition of a group-based statistical method for analyzing longitudinal data in the social and behavioral sciences and in medicine. The methods can be applied to a wide range of data, such as that describing the progression of delinquency and criminality over the life course, or changes in income over time.

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Sorted by citations

Group-Based Trajectory Modeling in Clinical Research
Nagin, D. S., & Odgers, C. L. (2010) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.121208.131413 · Cited by 2,749
Self-citation
Global perspectives on resilience in children and youth
Masten, A. S. (2014) · Child Development · doi:10.1111/cdev.12205 · Cited by 1,710
Twelve frequently asked questions about growth curve modeling
Curran, P. J., Obeidat, K., & Losardo, D. (2010) · Journal of Cognition and Development · doi:10.1080/15248371003699969 · Cited by 1,246
Classical Latent Profile Analysis of Academic Self-Concept Dimensions: Synergy of Person- and Variable-Centered Approaches to Theoretical Models of Self-Concept
Marsh, H. W., Lüdtke, O., Trautwein, U., & Morin, A. J. S. (2009) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705510902751010 · Cited by 1,245
Advances in Group-Based Trajectory Modeling and an SAS Procedure for Estimating Them
Jones, B. L., & Nagin, D. S. (2007) · Sociological Methods & Research · doi:10.1177/0049124106292364 · Cited by 1,206
“This multitrajectory model is a form of the so-called constrained dualtrajectory model described in Chapter 8 of Nagin (2005).”
BackgroundMethodInfluentialSelf-citation
Methods and measures: growth mixture modeling: a method for identifying differences in longitudinal change among unobserved groups
Ram, N., & Grimm, K. J. (2009) · International Journal of Behavioral Development · doi:10.1177/0165025409343765 · Cited by 1,143
PROC LCA: A SAS Procedure for Latent Class Analysis
Lanza, S. T., Collins, L. M., Lemmon, D. R., & Schafer, J. L. (2007) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705510701575602 · Cited by 1,075
Female and male antisocial trajectories: From childhood origins to adult outcomes
Odgers, C. L., Moffitt, T. E., Broadbent, J. M., Dickson, N. P., Hancox, R. J., Harrington, H., Poulton, R., Sears, M. R., Thomson, W. M., & Caspi, A. (2008) · Development and Psychopathology · doi:10.1017/s0954579408000333 · Cited by 1,034
An Introduction to Latent Variable Mixture Modeling (Part 1): Overview and Cross-Sectional Latent Class and Latent Profile Analyses
Berlin, K. S., Williams, N. A., & Parra, G. R. (2013) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jst084 · Cited by 1,008
Competence and Resilience in Development
MASTEN, A. S., & OBRADOVIĆ, J. (2006) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1376.003 · Cited by 946
Group-based multi-trajectory modeling
Nagin, D., Jones, B., Passos, V. L., & Tremblay, R. (2018) · Statistical Methods in Medical Research · doi:10.1177/0962280216673085 · Cited by 824
Self-citation
A Note on a Stata Plugin for Estimating Group-based Trajectory Models
Jones, B. L., & Nagin, D. S. (2013) · Sociological Methods & Research · doi:10.1177/0049124113503141 · Cited by 906
Self-citation
Trajectories of disability in the last year of life
Gill, T. M., Gahbauer, E. A., Han, L., & Allore, H. G. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0909087 · Cited by 894
A Life-Course View of the Development of Crime
Sampson, R. J., & Laub, J. H. (2005) · The Annals of the American Academy of Political and Social Science · doi:10.1177/0002716205280075 · Cited by 957
“As discussed ear- lier, groups serve many useful purposes, and methods such as trajectory-group analysis (Nagin 2005) are some of the most innovative to come along in recent criminology.”
Method
Latent Class Analysis With Distal Outcomes: A Flexible Model-Based Approach
Lanza, S. T., Tan, X. M., & Bray, B. C. (2013) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2013.742377 · Cited by 802
The GRoLTS-Checklist: Guidelines for Reporting on Latent Trajectory Studies
van de Schoot, R., Sijbrandij, M., Winter, S. D., Depaoli, S., & Vermunt, J. K. (2017) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705511.2016.1247646 · Cited by 721
Autonomous, controlled, and amotivated types of academic motivation: A person-oriented analysis.
Ratelle, C. F., Guay, F., Vallerand, R. J., Larose, S., & Senécal, C. (2007) · Journal of Educational Psychology · doi:10.1037/0022-0663.99.4.734 · Cited by 754
Trajectories of school engagement during adolescence: Implications for grades, depression, delinquency, and substance use.
Li, Y., & Lerner, R. M. (2011) · Developmental Psychology · doi:10.1037/a0021307 · Cited by 733
“For instance, group-based mixture models lend themselves to identifying the various trajectories of school engagement that may be qualitatively different among subpopulations of adolescents (Nagin, 2005).”
Background
Role of media reports in completed and prevented suicide: Werther v. Papageno effects
Niederkrotenthaler, T., Voracek, M., Herberth, A., Till, B., Strauss, M., Etzersdorfer, E., Eisenwort, B., & Sonneck, G. (2010) · British Journal of Psychiatry · doi:10.1192/bjp.bp.109.074633 · Cited by 719
Group-Based Trajectory Modeling: An Overview
Nagin, D. S. (2014) · Annals of Nutrition and Metabolism · doi:10.1159/000360229 · Cited by 700
“2 of Nagin (2005) , for count data P.Yi/ is specified as the zero-inflated Poisson distribution, for censored data it is specified as the censored normal distribution, and for binary data, it is specified as the binary logit distribution.”
BackgroundMethodInfluentialSelf-citation
DOES MARRIAGE REDUCE CRIME? A COUNTERFACTUAL APPROACH TO WITHIN‐INDIVIDUAL CAUSAL EFFECTS*
Sampson, R. J., Laub, J. H., & Wimer, C. (2006) · Criminology · doi:10.1111/j.1745-9125.2006.00055.x · Cited by 683
11 Evidence in Management and Organizational Science: Assembling the Field’s Full Weight of Scientific Knowledge Through Syntheses
Rousseau, D. M., Manning, J., & Denyer, D. (2008) · Academy of Management Annals · doi:10.5465/19416520802211651 · Cited by 1,083
The Development of Physical Aggression from Toddlerhood to Pre-Adolescence: A Nation Wide Longitudinal Study of Canadian Children
Côté, S., Vaillancourt, T., LeBlanc, J. C., Nagin, D. S., & Tremblay, R. E. (2006) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-005-9001-z · Cited by 641
Self-citation
Latent Class Growth Modelling: A Tutorial
Armstrong, H. L., Carraro, N., Thompson, A., Gaudreau, P., & Louvet, B. (2009) · Tutorials in Quantitative Methods for Psychology · doi:10.20982/tqmp.05.1.p011 · Cited by 626
The Study of Adolescent Identity Formation 2000–2010: A Review of Longitudinal Research
Meeus, W. (2011) · Journal of Research on Adolescence · doi:10.1111/j.1532-7795.2010.00716.x · Cited by 618
“Study 8 used latent class growth analysis (LCGA; Nagin, 2005) to estimate, without any predetermined classification criteria, the optimal number of identity status trajectories.”
Method
The Growth of Incarceration in the United States
National Research Council (2014) · National Academies Press eBooks · doi:10.17226/18613 · Cited by 648
Analysis of longitudinal data: the integration of theoretical model, temporal design, and statistical model.
Collins, L. M. (2006) · Annual Review of Psychology · doi:10.1146/annurev.psych.57.102904.190146 · Cited by 565
“Growth mixture models (Muthén 2001; Muthén & Muthén 2000; Muthén & Shedden 1999; Nagin 1999, 2005; Nagin & Tremblay 2001) identify subgroups corresponding to distinct patterns of growth in longitudinal data and can be used to estimate the prevalence of the patterns and to relate the patterns to…”
Taking Stock of Developmental Trajectories of Criminal Activity over the Life Course
Piquero, A. R. (2007) · Springer eBooks · doi:10.1007/978-0-387-71165-2_2 · Cited by 568
Trajectories of pure and co-occurring internalizing and externalizing problems from age 2 to age 12: Findings from the National Institute of Child Health and Human Development Study of Early Child Care.
Fanti, K. A., & Henrich, C. C. (2010) · Developmental Psychology · doi:10.1037/a0020659 · Cited by 541
Scaling Criminal Offending
Sweeten, G. (2011) · Journal of Quantitative Criminology · doi:10.1007/s10940-011-9160-8 · Cited by 553
Associations Between Sleep Duration Patterns and Behavioral/Cognitive Functioning at School Entry
Touchette, É., Petit, D., Séguin, J. R., Boivin, M., Tremblay, R. E., & Montplaisir, J. Y. (2007) · Sleep · doi:10.1093/sleep/30.9.1213 · Cited by 521
Male antisocial behaviour in adolescence and beyond
Moffitt, T. E. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0309-4 · Cited by 561
"The Concentration and Stability of Gun Violence at Micro Places in Boston, 1980-2008
Braga, A. A., Papachristos, A. V., & Hureau, D. M. (2010) · Journal of Quantitative Criminology · doi:10.1007/s10940-009-9082-x · Cited by 470
Theory of mind and prosocial behavior in childhood: A meta-analytic review.
Imuta, K., Henry, J. D., Slaughter, V., Selcuk, B., & Ruffman, T. (2016) · Developmental Psychology · doi:10.1037/dev0000140 · Cited by 474
Prediction of Differential Adult Health Burden by Conduct Problem Subtypes in Males
Odgers, C. L., Caspi, A., Broadbent, J. M., Dickson, N. P., Hancox, R. J., Harrington, H., Poulton, R., Sears, M. R., Thomson, W. M., & Moffitt, T. E. (2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.4.476 · Cited by 460
Developmental origins of disruptive behaviour problems: the ‘original sin’ hypothesis, epigenetics and their consequences for prevention
Tremblay, R. E. (2010) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2010.02211.x · Cited by 462
Profiles in self-regulated learning in the online learning environment
Barnard-Brak, L. M., Paton, V. O., & Lan, W. Y. (2010) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v11i1.769 · Cited by 544
Developmental Trajectories of Bullying and Associated Factors
Pepler, D. J., Jiang, D., Craig, W., & Connolly, J. (2008) · Child Development · doi:10.1111/j.1467-8624.2007.01128.x · Cited by 450
Research Review: DSM‐V conduct disorder: research needs for an evidence base
Moffitt, T. E., order, A. I. A., Arseneault, L., Jaffee, S. R., Kim‐Cohen, J., Koenen, K. C., Odgers, C. L., Slutske, W. S., & Viding, E. M. (2007) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2007.01823.x · Cited by 457
Timing of the decline in physical activity in childhood and adolescence: gateshead millennium cohort study
Farooq, M. A., Parkinson, K. N., Adamson, A. J., Pearce, M. S., Reilly, J. K., Hughes, A. R., Janssen, X., Basterfield, L., & Reilly, J. J. (2018) · British Journal of Sports Medicine · doi:10.1136/bjsports-2016-096933 · Cited by 418
“This method, initially developed by Nagin et al , 28 has recently been applied to longitudinal physical activity data.”
BackgroundMethod
Framework to construct and interpret latent class trajectory modelling
Lennon, H., Kelly, S., Sperrin, M., Buchan, I., Cross, A. J., Leitzmann, M., Cook, M. B., & Renehan, A. G. (2018) · BMJ Open · doi:10.1136/bmjopen-2017-020683 · Cited by 419
The Economics and Psychology of Inequality and Human DEvelopment
Cunha, F., & Heckman, J. J. (2009) · Journal of the European Economic Association · doi:10.1162/jeea.2009.7.2-3.320 · Cited by 420
On the progression and stability of adolescent identity formation: a five-wave longitudinal study in early-to-middle and middle-to-late adolescence
Meeus, W., Van De Schoot, R., Keijsers, L., Schwartz, S. J., & Branje, S. (2010) · Child Development · doi:10.1111/j.1467-8624.2010.01492.x · Cited by 409
Effects of early family/parent training programs on antisocial behavior and delinquency
Piquero, A. R., Farrington, D. P., Welsh, B. C., Tremblay, R. E., & Jennings, W. G. (2009) · Journal of Experimental Criminology · doi:10.1007/s11292-009-9072-x · Cited by 424
“…NSF-sponsored National Consortium on Violence Research (NCOVR) have supported research on the development of a group-based method for identifying distinctive groups of individual trajectories within the population and for profiling characteristics of group members (Nagin, 2005; Nagin & Land, 1993).”
Background
Resilience in Development: Progress and Transformation
Masten, A. S., & Cicchetti, D. (2016) · Developmental Psychopathology · doi:10.1002/9781119125556.devpsy406 · Cited by 416
THE DEVELOPMENT OF SELF-CONTROL: EXAMINING SELF-CONTROL THEORY'S STABILITY THESIS
Hay, C., & Forrest, W. (2006) · Criminology · doi:10.1111/j.1745-9125.2006.00062.x · Cited by 393
Trajectories of antisocial behavior and psychosocial maturity from adolescence to young adulthood.
Monahan, K. C., Steinberg, L. D., Cauffman, E. E., & Mulvey, E. P. (2009) · Developmental Psychology · doi:10.1037/a0015862 · Cited by 418
Six Developmental Trajectories Characterize Children With Autism
Fountain, C., Winter, A. S., & Bearman, P. S. (2012) · Pediatrics · doi:10.1542/peds.2011-1601 · Cited by 372
Risk and protective factors associated with trajectories of depressed mood from adolescence to early adulthood.
Costello, D. M., Swendsen, J. D., Rose, J. S., & Dierker, L. (2008) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.76.2.173 · Cited by 399
The joint development of physical and indirect aggression: Predictors of continuity and change during childhood
Côté, S. M., Vaillancourt, T., Barker, E. D., Nagin, D. S., & Tremblay, R. E. (2007) · Development and Psychopathology · doi:10.1017/s0954579407070034 · Cited by 408
Self-citation
Trajectories of the Home Learning Environment Across the First 5 Years: Associations With Children’s Vocabulary and Literacy Skills at Prekindergarten
Rodriguez, E. T., & Tamis‐LeMonda, C. S. (2011) · Child Development · doi:10.1111/j.1467-8624.2011.01614.x · Cited by 366
Stability and Change of Moral Disengagement and Its Impact on Aggression and Violence in Late Adolescence
Paciello, M., Fida, R., Tramontano, C., Lupinetti, C., & Caprara, G. V. (2008) · Child Development · doi:10.1111/j.1467-8624.2008.01189.x · Cited by 372
Moderate versus severe early life stress: Associations with stress reactivity and regulation in 10–12-year-old children
Gunnar, M. R., Frenn, K., Wewerka, S. S., & Van Ryzin, M. J. (2009) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2008.08.013 · Cited by 363
Functional Trajectories Among Older Persons Before and After Critical Illness
Ferrante, L. E., Pisani, M. A., Murphy, T. E., Gahbauer, E. A., Leo-Summers, L. S., & Gill, T. M. (2015) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2014.7889 · Cited by 387
The Life Course Perspective on Drug Use
Hser, Y., Longshore, D. L., & Anglin, M. D. (2007) · Evaluation Review · doi:10.1177/0193841x07307316 · Cited by 360
“Applying a growth mixture modeling strategy (Muthen 2004; Muthen and Asparouhov forthcoming; Nagin 1999, 2005) to heroin use level (i.e., mean number of days per month using heroin) during the first half of the addiction careers (16 years) since first heroin use, Hser and colleagues (2007 [this…”
Is it Important to Examine Crime Trends at a Local “Micro” Level?: A Longitudinal Analysis of Street to Street Variability in Crime Trajectories
Groff, E. R., Weisburd, D., & Yang, S.-M. (2010) · Journal of Quantitative Criminology · doi:10.1007/s10940-009-9081-y · Cited by 391
The long view of crime : a synthesis of longitudinal research
Liberman, A., & Nagin, D. (2008) · Springer eBooks · doi:10.1007/978-0-387-71165-2 · Cited by 297
Developmental trajectories of restricted and repetitive behaviors and interests in children with autism spectrum disorders
Richler, J., Huerta, M., Bishop, S. L., & Lord, C. (2010) · Development and Psychopathology · doi:10.1017/s0954579409990265 · Cited by 335
A time-varying effect model for intensive longitudinal data.
Tan, X. M., Shiyko, M. P., Li, R., Li, Y., & Dierker, L. (2011) · Psychological Methods · doi:10.1037/a0025814 · Cited by 331
“Change has long been an active topic in behavior science, as reflected in many books such as Harris (1963); Nesselroade and Baltes (1979); Gottman (1995); Collins and Sayer (2001); Singer and Willett (2003); and Nagin (2005), as well as in an overwhelming number of journal articles.”
Background
Subtypes of aggressive behaviors: A developmental perspective
Vitaro, F., Brendgen, M. R., & Barker, E. D. (2006) · International Journal of Behavioral Development · doi:10.1177/0165025406059968 · Cited by 370
Developmental Trajectories of Symptom Severity and Adaptive Functioning in an Inception Cohort of Preschool Children With Autism Spectrum Disorder
Szatmari, P., Georgiades, S., Duku, E., Bennett, T. A., Bryson, S., Fombonne, E., Mirenda, P., Roberts, W., Smith, I. M., Vaillancourt, T., et al. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.2463 · Cited by 322
Longitudinal Trajectories of Postconcussive Symptoms in Children With Mild Traumatic Brain Injuries and Their Relationship to Acute Clinical Status
Yeates, K. O., Taylor, H. G., Rusin, J., Bangert, B., Dietrich, A., Nuss, K., Wright, M., Nagin, D. S., & Jones, B. L. (2009) · Pediatrics · doi:10.1542/peds.2008-1056 · Cited by 230
Self-citation
Youth crime and justice: Key messages from the Edinburgh Study of Youth Transitions and Crime
McAra, L., & McVie, S. (2010) · Criminology & Criminal Justice · doi:10.1177/1748895809360971 · Cited by 318
Latent class analysis in PLS-SEM: A review and recommendations for future applications
Sarstedt, M., Radomir, L., Moisescu, O. I., & Ringle, C. M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.08.051 · Cited by 385
kmlandkml3d:RPackages to Cluster Longitudinal Data
Genolini, C., Alacoque, X., Sentenac, M., & Arnaud, C. (2015) · Journal of Statistical Software · doi:10.18637/jss.v065.i04 · Cited by 315
Key Issues in Criminal Career Research: New Analyses of the Cambridge Study in Delinquent Development
Piquero, A. R., Farrington, D. P., & Blumstein, A. (2007) · Cited by 309
Daily living skills in individuals with autism spectrum disorder from 2 to 21 years of age
Bal, V. H., Kim, S. H., Cheong, D., & Lord, C. (2015) · Autism · doi:10.1177/1362361315575840 · Cited by 351
Demographic and familial predictors of early executive function development: Contribution of a person-centered perspective.
Rhoades, B. L., Greenberg, M. T., Lanza, S. T., & Blair, C. (2011) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2010.08.004 · Cited by 295
Overdispersion and Poisson Regression
Berk, R., & MacDonald, J. M. (2008) · Journal of Quantitative Criminology · doi:10.1007/s10940-008-9048-4 · Cited by 299
“More extensive discussions of heterogeneity can be found in the influential work Nagin and Land (1993) and in several subsequent papers and books (e.g., D’Unger et al. 1998; Nagin 2005 ).”
Background
On the number and shape of developmental/life-course violence, aggression, and delinquency trajectories: A state-of-the-art review
Jennings, W. G., & Reingle, J. M. (2012) · Journal of Criminal Justice · doi:10.1016/j.jcrimjus.2012.07.001 · Cited by 306
Observations on the Use of Growth Mixture Models in Psychological Research
Bauer, D. J. (2007) · Multivariate Behavioral Research · doi:10.1080/00273170701710338 · Cited by 292
Hot Spots of Juvenile Crime: A Longitudinal Study of Arrest Incidents at Street Segments in Seattle, Washington
Weisburd, D. L., Morris, N. A., & Groff, E. R. (2009) · Journal of Quantitative Criminology · doi:10.1007/s10940-009-9075-9 · Cited by 296
Identification and prediction of distress trajectories in the first year after a breast cancer diagnosis.
Henselmans, I., Helgeson, V. S., Seltman, H. J., de Vries, J., Sanderman, R., & Ranchor, A. V. (2010) · Health Psychology · doi:10.1037/a0017806 · Cited by 298
“Even though the procedure that we used (TRAJ finite mixture modeling) can handle missing values (Nagin, 2005, p, 36), we chose to exclude 32 women who missed more than two of the five distress assessments and women who did not have at least one early assessment shortly after diagnosis (T1 or T2) and one late assessmen…”
Method
Childhood to Early-Midlife Systolic Blood Pressure Trajectories
Theodore, R. F., Broadbent, J. M., Nagin, D. S., Ambler, A. P., Hogan, S., Ramrakha, S., Cutfield, W. S., Williams, M. J. A., Harrington, H., Moffitt, T. E., et al. (2015) · Hypertension · doi:10.1161/hypertensionaha.115.05831 · Cited by 295
Self-citation
An overview of mixture modelling for latent evolutions in longitudinal data: Modelling approaches, fit statistics and software
van der Nest, G., Passos, V. L., Candel, M. J. J. M., & van Breukelen, G. (2020) · Advances in Life Course Research · doi:10.1016/j.alcr.2019.100323 · Cited by 311
Persistent opioid use following cesarean delivery: patterns and predictors among opioid-naïve women
Bateman, B. T., Franklin, J. M., Bykov, K., Avorn, J., Shrank, W. H., Brennan, T. A., Landon, J. E., Rathmell, J. P., Huybrechts, K. F., Fischer, M. A., et al. (2016) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2016.03.016 · Cited by 287
Combining propensity score matching and group-based trajectory analysis in an observational study.
Haviland, A. M., Nagin, D., & Rosenbaum, P. (2007) · Psychological methods · doi:10.1037/1082-989x.12.3.247 · Cited by 277
Self-citation
Trajectories of maternal depressive symptoms, maternal sensitivity, and children's functioning at school entry.
Campbell, S. B. G., Matestic, P., von Stauffenberg, C., Mohan, R., & Kirchner, T. (2007) · Developmental Psychology · doi:10.1037/0012-1649.43.5.1202 · Cited by 283
“The model with the maximum BIC, but also one that includes relatively few groups, is preferred (Nagin, 2005).”
Method
Trajectories of Prosocial Behavior and Physical Aggression in Middle Childhood: Links to Adolescent School Dropout and Physical Violence
Kokko, K., Tremblay, R. E., Lacourse, É., Nagin, D. S., & Vitaro, F. (2006) · Journal of Research on Adolescence · doi:10.1111/j.1532-7795.2006.00500.x · Cited by 278
“All probabilities were higher than .80, a value that is generally assumed to imply a good model fit to the data ( Nagin, 2005 ).”
BackgroundSelf-citation
KmL: k-means for longitudinal data
Genolini, C., & Falissard, B. (2009) · Computational Statistics · doi:10.1007/s00180-009-0178-4 · Cited by 277
“Since it is a non-parametric algorithm, it does not need any prior information and consequently avoids the issues related to model selection, a frequent concern reported with existing model-based procedures (Nagin 2005, p 65).”
Method
Longitudinal tests of an integrative model of leader development: Charting and understanding developmental trajectories
Day, D. V., & Sin, H. (2011) · The Leadership Quarterly · doi:10.1016/j.leaqua.2011.04.011 · Cited by 277
Developmental psychopathology: Pathways to the future
Masten, A. S. (2006) · International Journal of Behavioral Development · doi:10.1177/0165025406059974 · Cited by 291
The evolution of fertility expectations over the life course
Hayford, S. R. (2009) · Demography · doi:10.1353/dem.0.0073 · Cited by 269
“All models are estimated using a methodology developed by Nagin and colleagues (Jones et al. 2001; Nagin 1999, 2005) and implemented via a SAS add-on developed by Jones et al. (2001; available for downloading at http://www.andrew.cmu.edu/user/bjones/index.htm).”
BackgroundMethodInfluential
Changes in Serum Levels of HBV DNA and Alanine Aminotransferase Determine Risk for Hepatocellular Carcinoma
Chen, C., Lee, W., Yang, H., Chang, H., Jen, C., Iloeje, U. H., Su, J., Hsiao, C. K., Wang, L., You, S., et al. (2011) · Gastroenterology · doi:10.1053/j.gastro.2011.06.036 · Cited by 268
Early Risk Factors for Hyperactivity-Impulsivity and Inattention Trajectories From Age 17 Months to 8 Years
Galéra, C. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.138 · Cited by 282
Racial disparities in health among nonpoor African Americans and Hispanics: The role of acute and chronic discrimination
Colen, C. G., Ramey, D. M., Cooksey, E. C., & Williams, D. R. (2017) · Social Science & Medicine · doi:10.1016/j.socscimed.2017.04.051 · Cited by 267
Misinformation about COVID-19: evidence for differential latent profiles and a strong association with trust in science
Agley, J. D., & Xiao, Y. (2021) · BMC Public Health · doi:10.1186/s12889-020-10103-x · Cited by 266
General Growth Mixture Analysis with Antecedents and Consequences of Change
Petras, H., & Masyn, K. E. (2009) · Springer eBooks · doi:10.1007/978-0-387-77650-7_5 · Cited by 279
Group-based Trajectory Models
Franklin, J. M., Shrank, W. H., Pakes, J., Sanfélix‐Gimeno, G., Matlin, O. S., Brennan, T. A., & Choudhry, N. K. (2013) · Medical Care · doi:10.1097/mlr.0b013e3182984c1f · Cited by 260
Trajectories of Gait Speed Predict Mortality in Well-Functioning Older Adults: The Health, Aging and Body Composition Study
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Authors: NAGIN, D.
Corresponding author: NAGIN, Daniel
ORCID: NAGIN, Daniel
Venue: Harvard University Press eBooks
Publisher: Harvard University Press
Published: 2005-01-01
DOI: 10.4159/9780674041318
OpenAlex: W1598612182
Cited by: 4,164
References: 0
Citations by year: 2026: 234 · 2025: 288 · 2024: 271 · 2023: 264 · 2022: 297 · 2021: 323 · 2020: 263 · 2019: 270 · 2018: 225 · 2017: 220 · 2016: 222 · 2015: 241 · 2014: 155 · 2013: 154 · 2012: 176
FWCI: 19.40
Type: book
Language: en
Open access: closed
Locations: Harvard University Press eBooks (publishedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Methods and Mixture Models
Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Keywords: longitudinal analysis, life course, delinquency, criminality, income change, developmental trajectories

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