General Growth Mixture Analysis with Antecedents and Consequences of Change

Petras, Hanno; Masyn, Katherine E.

doi:10.1007/978-0-387-77650-7_5

Cited by 211 publications

(239 citation statements)

References 58 publications

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“…Effects of covariates on substance misuse were modeled only indirectly through latent pathways. The pseudoclass draw technique implemented in Mplus (Petras and Masyn, 2010) was used to determine latent pathway membership. This technique uses a method similar to multiple imputation (Rubin, 1987), estimating the relationship between latent pathways and observed substance misuse variables multiple times based on random draws from the posterior probability distribution, calculating the average of each estimate across the multiple random draws, and adjusting its standard error by taking into account the within-and between-random draw variation.…”

Section: Discussionmentioning

confidence: 99%

Men's and Women's Pathways to Adulthood and Associated Substance Misuse

Oesterle¹,

Hawkins²,

Hill³

2011

J. Stud. Alcohol Drugs

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ABSTRACT. Objective: Social role transitions have been linked to changes in substance use and misuse during young adulthood. This study examined how commonly observed pathways to adulthood, defi ned by education, employment, marriage, and parenthood, were associated with alcohol, tobacco, and marijuana misuse from ages 18 to 33. Method: Data came from a longitudinal panel of 412 men and 396 women recruited when they were in fi fth grade in Seattle public schools in 1985. Participants were followed through age 33 in 2008, with 92% retention. Results: Young adults who had little postsecondary education and remained unmarried through age 30 generally had the highest rates of substance misuse. Those who were involved in postsecondary education and postponed family formation had the lowest rates, particularly with respect to daily smoking and nicotine dependence. Parenting during the young adult years was associated with lower rates of substance misuse for both men and women. However, taking on parenting responsibilities early, during the late teen years and early 20s (observed mostly for women), was associated with higher rates of tobacco misuse. Differences in substance misuse by pathways to adulthood were fairly constant across the young adulthood years and were already observed at age 18, suggesting that substance misuse patterns are established early. Conclusions: Young adults may change their substance use only partially in response to new freedoms and responsibilities in young adulthood. Preventive efforts should include a focus on early initiation of substance use and educational experiences that move people into life trajectories and associated substance misuse patterns. (J. Stud. Alcohol Drugs, 72,

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Section: Discussionmentioning

confidence: 99%

Men's and Women's Pathways to Adulthood and Associated Substance Misuse

Oesterle¹,

Hawkins²,

Hill³

2011

J. Stud. Alcohol Drugs

View full text Add to dashboard Cite

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“…The main disadvantage of this simultaneous modeling procedure is that the inclusion of Z in the model can alter the meaning of the classes (Petras & Masyn, 2010), especially when the normal distribution assumption for f (Z i |X = t ) does not hold. Such a misspecification can even lead to overextraction of the classes (Bauer & Curran, 2003).…”

Section: The Basic Lc Model and Its Extension To Include A Continuousmentioning

confidence: 99%

Robustness of Stepwise Latent Class Modeling With Continuous Distal Outcomes

Bakk

Vermunt

2015

Structural Equation Modeling: A Multidisciplinary Journal

606

389

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“…Some guidelines for interpreting the absolute IC difference between two models have been proposed. Petras and Masyn (2010) recommended the "elbow criterion" to determine the optimal number of classes when using IC indices (i.e., AIC, BIC, SABIC). Specifically, they recommended graphing the values of IC indices against the increasing number of classes, and looked for the pronounced angle in the plot where the decrease of IC value dropped.…”

Section: Brief Review Of Model Selection Indicesmentioning

confidence: 99%

The Efficacy of Common Fit Indices for Enumerating Classes in Growth Mixture Models When Nested Data Structure Is Ignored

Luo

Palardy

et al. 2017

Sage Open

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Growth mixture model (GMM) is a flexible statistical technique for analyzing longitudinal data when there are unknown heterogeneous subpopulations with different growth trajectories. When individuals are nested within clusters, multilevel growth mixture model (MGMM) should be used to account for the clustering effect. A review of recent literature shows that a higher level of nesting was described in 43% of articles using GMM, none of which used MGMM to account for the clustered data. We conjecture that researchers sometimes ignore the higher level to reduce analytical complexity, but in other situations, ignoring the nesting is unavoidable. This Monte Carlo study investigated whether the correct number of classes can still be retrieved when a higher level of nesting in MGMM is ignored. We investigated six commonly used model selection indices: Akaike information criterion (AIC), consistent AIC (CAIC), Bayesian information criterion (BIC), sample size-adjusted BIC (SABIC), Vuong-Lo-Mendell-Rubin likelihood ratio test (VLMR), and adjusted Lo-Mendell-Rubin likelihood ratio test (ALMR). Results showed that accuracy of class enumeration decreased for all six indices when the higher level is ignored. BIC, CAIC, and SABIC were the most effective model selection indices under the misspecified model. BIC and CAIC were preferable when sample size was large and/or intraclass correlation (ICC) was small, whereas SABIC performed better when sample size was small and/or ICC was large. In addition, SABIC and VLMR/ALMR tended to overextract the number of classes when there are more than two subpopulations and the sample size is large.

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General Growth Mixture Analysis with Antecedents and Consequences of Change

Cited by 211 publications

References 58 publications

Men's and Women's Pathways to Adulthood and Associated Substance Misuse

Men's and Women's Pathways to Adulthood and Associated Substance Misuse

Robustness of Stepwise Latent Class Modeling With Continuous Distal Outcomes

The Efficacy of Common Fit Indices for Enumerating Classes in Growth Mixture Models When Nested Data Structure Is Ignored

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