Latent Class Growth Modelling: A Tutorial

The present work is an introduction to Latent Class Growth Modelling (LCGM). LCGM is a semi‐parametric statistical technique used to analyze longitudinal data. It is used when the data follows a pattern of change in which both the strength and the direction of the relationship between the independent and dependent variables differ across cases. The analysis identifies distinct subgroups of individuals following a distinct pattern of change over age or time on a variable of interest. The aim of the present tutorial is to introduce readers to LCGM and provide a concrete example of how the analysis can be performed using a real‐world data set and the SAS software package with accompanying PROC TRAJ application. The advantages and limitations of this technique are also discussed.

[1]  J. Singer,et al.  Applied Longitudinal Data Analysis , 2003 .

[2]  Patrick Gaudreau,et al.  Revisiting the changing and stable properties of coping utilization using latent class growth analysis: a longitudinal investigation with soccer referees. , 2009 .

[3]  Tony Jung,et al.  An introduction to latent class growth analysis and growth mixture modeling. , 2008 .

[4]  Patrick Gaudreau,et al.  Longitudinal patterns of stability and change in coping across three competitions: a latent class growth analysis. , 2007, Journal of sport & exercise psychology.

[5]  Daniel S. Nagin,et al.  The Cambridge Handbook of Violent Behavior and Aggression: Overview of a Semi-Parametric, Group-Based Approach for Analyzing Trajectories of Development , 2007 .

[6]  Barbara Maughan,et al.  Developmental Trajectory Modeling: A View from Developmental Psychopathology , 2005 .

[7]  B. Tabachnick,et al.  Using Multivariate Statistics , 1983 .

[8]  Patrick Gaudreau,et al.  Trajectories of affective states in adolescent hockey players: turning point and motivational antecedents. , 2009, Developmental psychology.

[9]  B. Tabachnick,et al.  Using multivariate statistics, 5th ed. , 2007 .

[10]  D. Nagin Group-based modeling of development , 2005 .

[11]  Robert J. Sampson,et al.  A Life-Course View of the Development of Crime , 2005 .

[12]  Howard Seltman,et al.  Psychological and physical adjustment to breast cancer over 4 years: identifying distinct trajectories of change. , 2004, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[13]  B. Roberts,et al.  Patterns of mean-level change in personality traits across the life course: a meta-analysis of longitudinal studies. , 2006, Psychological bulletin.

[14]  Thomas H. Ollendick,et al.  COMPARING PERSONAL TRAJECTORIES AND DRAWING CAUSAL INFERENCES FROM LONGITUDINAL DATA , 2008 .

[15]  B. Muthén,et al.  The Application of Latent Curve Analysis to Testing Developmental Theories in Intervention Research , 1999, American journal of community psychology.

[16]  Daniel S. Nagin,et al.  Analyzing developmental trajectories: A semiparametric, group-based approach , 1999 .

[17]  Patrick E. McKnight Missing Data: A Gentle Introduction , 2007 .

[18]  K. Roeder,et al.  A SAS Procedure Based on Mixture Models for Estimating Developmental Trajectories , 2001 .

[19]  Neil Schneiderman,et al.  Applying Latent Growth Curve Modeling to the Investigation of Individual Differences in Cardiovascular Recovery From Stress , 2004, Psychosomatic medicine.