Group-Based Modeling of Development
By C. Anderson‐Cook. 2006
1,698 citations recorded by the source corpus.
Subfields: Information Systems, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/748de3828631ed98bf51783affbf719a65f43a07
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
In Management Science and Operations Research
- Alexandre J. S. Morin
- Herbert W. Marsh
- Katherine E. Masyn
- O. Lüdtke
- Ulrich Trautwein
- Robert J. Vallerand
- F. Guay
- B. Bray
Citations in the corpus
- Assessing the Impact of Sex Offender Registration and Community Notification On Sex-Offending Trajectories (2010, methodology): “Although posterior probabilities of 1 (perfect assignment) are rare, Nagin (2005) suggests that mean group-based probabilities greater than 0.70 indicate good model precision (for a further discussion on trajectory modeling, see Nagin & Land, 1993; see also Nagin, 2005).”
- Using Group-Based Trajectory and Growth Mixture Modeling to Identify Classes of Change Trajectories (2016, methodology): “Thus, this research area will be used to illustrate how person-centered statistical methods, specifically, growth curve modeling (GCM), group-based trajectory modeling (GBTM; Nagin, 2005), and latent growth mixture modeling (LGMM; B.”
- Latent Class Analysis With Distal Outcomes: A Flexible Model-Based Approach (2013, methodology): “The most straightforward approach is to assign individuals to latent classes based on their maximum posterior probability (see, e.g., Nagin, 2005).”
- Autonomous, Controlled, and Amotivated Types of Academic Motivation: A Person-Oriented Analysis (2007, methodology): “To accurately assess motivational profiles, we decided to use a statistical method that allows for the detection of heterogeneity in motivational profiles ( Nagin, 1999, 2005 ).”
- Developmental Typologies of Identity Formation and Adjustment in Female Emerging Adults: A Latent Class Growth Analysis Approach (2008, methodology): “Several criteria were used to decide on the number of latent classes (Muthén & Muthén, 2000; Nagin, 2005).”
- An Examination of First and Second Generation Immigrant Offending Trajectories (2014, methodology): “I use group-based trajectory modeling (Nagin, 2005) to examine patterns of continuity and change in offending over time.”
- Global perspectives on resilience in children and youth. (2014, methodology): “Growth curve modeling and group-based trajectory modeling techniques (Grimm et al., 2011; Nagin, 2005) have made it possible to study patterns of change over time in individuals and test for hypothesized response patterns.”
- kml and kml3d: R Packages to Cluster Longitudinal Data (2015, methodology): “Various methods have been designed to this purpose (Tarpey and Kinateder 2003; Rossi, Conan-Guez, and Golli 2004; Nagin 2005; Muth´en and Muth´en 2012) but they all present several weaknesses.”
- Female and male antisocial trajectories: From childhood origins to adult outcomes (2008, methodology): “GGMM differs from SPGB in that it allows for class-specific variation (random effects).”
- How Well Do Criminologists Explain Crime? Statistical Modeling in Published Studies (2008, background): “The finding regarding individuals is interesting, because criminologists testing theory have placed the greatest emphasis on understanding individual offending (Nagin 2005).”
- Ten Frequently Asked Questions About Latent Class Analysis (2018, neutral): “Individuals’ AvePP values are reported for their most likely class assigned, where values .70 indicate well-separated classes (Nagin, 2005).”
- Does Marriage Reduce Crime? (2015, methodology): “These include group-based trajectory models (Nagin 2005), which have been extremely important in criminal careers research, and the use of panel data models that allow controls for unobserved heterogeneity.”
- Longitudinal Attendance Patterns: Developing High School Dropouts (2012, background): “Based onmaximum BIC1 (Bayesian Information Criterion) and BIC2 values, along with the probability correct model statistic (Nagin 2005), the appropriate number of groups to retain is five.”
- Classical Latent Profile Analysis of Academic Self-Concept Dimensions: Synergy of Person- and Variable-Centered Approaches to Theoretical Models of Self-Concept (2009, positive): “Citing Maughan (2005), Nagin (2005), Bauer and Curran (2003), and others, Bauer (2007) argued that it is reasonable to assume that most behaviors, traits, and abilities will differ continuously by degrees rather than by types.”
- Exploring the Link Between Low Self-Control and Violent Victimization Trajectories in Adolescents (2009, methodology): “According to Nagin (2005), the maximized BIC is used to select the best model, and the precision of the trajectory estimates is determined through an examination of the posterior probabilities of group assignment.”
- Developmental psychopathology: Pathways to the future (2006, positive): “…in person-focused statistical analyses have made it possible to identify distinct patterns over time, through semiparametric group-based modeling (Nagin, 2005), illustrating how this and other person-focused techniques may clarify what has been a confusing set of findings on the waxing and…”
- Methods and Measures: Growth mixture modeling: A method for identifying differences in longitudinal change among unobserved groups (2009, background): “We also highlight another subset of GMMs, often called latent class growth analysis (LCGA; cf. Nagin, 1999, 2005).”