Decomposing Group Differences of Latent Means of Ordered Categorical Variables within a Genetic Factor Model

Psychological Sciences, University of Missouri, 200 South 7th Street, Psychology Building, Columbia, MO 65211, USA.
Behavior Genetics (Impact Factor: 3.21). 12/2008; 39(1):101-22. DOI: 10.1007/s10519-008-9237-9
Source: PubMed


A genetic factor model is introduced for decomposition of group differences of the means of phenotypic behavior as well as individual differences when the research variables under consideration are ordered categorical. The model employs the general Genetic Factor Model proposed by Neale and Cardon (Methodology for genetic studies of twins and families, 1992) and, more specifically, the extension proposed by Dolan et al. (Behav Genet 22: 319-335, 1992) which enables decomposition of group differences of the means associated with genetic and environmental factors. Using a latent response variable (LRV) formulation (Muthén and Asparouhov, Latent variable analysis with categorical outcomes: multiple-group and growth modeling in Mplus. Mplus web notes: No. 4, Version 5, 2002), proportional differences of response categories between groups are modeled within the genetic factor model in terms of the distributional differences of latent response variables assumed to underlie the observed ordered categorical variables. Use of the proposed model is illustrated using a measure of conservatism in the data collected from the Australian Twin Registry.


Available from: Phillip Karl Wood
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The cross-sectional and longitudinal relations between reasons for abstaining or limiting drinking (RALD) and abstention were examined in a 16-year longitudinal study (N = 489) of college students with and without a family history of alcohol problems. Results indicated that RALD based upon upbringing or religiosity were associated with increased rates of abstention, whereas RALD based upon perceived or experienced negative consequences of drinking were associated with lower rates of abstention and increased alcohol consumption among drinkers. In addition, changes in RALD over time coincided with alcohol consumption transitions. Abstainers who began drinking after turning 21 reported a decrease in the importance of RALD associated with loss of control and upbringing or religiosity compared to abstainers who continued to abstain after turning 21. Conversely, drinkers who began abstaining after leaving college reported an increase in the importance of RALD associated with loss of control and upbringing or religiosity compared to drinkers who continued to drink after leaving college. Examining the reciprocal influences of RALD on drinking outcomes extends previous research and may inform prevention and intervention programs among college drinkers.
    Psychology of Addictive Behaviors 09/2009; 23(3):428-42. DOI:10.1037/a0015879 · 2.09 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Although it has been recognized that the course of alcoholism may differ across individuals, little work has characterized drinking trajectories from drinking onset to midlife. The current study examined trajectories of alcohol dependence from adolescence to the mid-50s in a sample of 420 men with a lifetime diagnosis of alcohol dependence. Men from the Vietnam Era Twin Registry were given the Lifetime Drinking History, which assesses the patterns of alcohol consumption and diagnostic symptoms for self-defined drinking phases. Phase data were converted into person-year data, with alcohol-dependence diagnosis coded as present or absent for each of 13 age groupings, starting with up to age 20 and ending with ages 54-56. Latent growth mixture modeling was used to define four drinking trajectories: young-adult, late-onset, severe-nonchronic, and severe-chronic alcoholics. Further analyses with other diagnostic variables, other drinking variables, alcohol expectancies, personality scales, and religiousness scores were completed to differentiate men best categorized by each trajectory. Extension of Latent Growth Mixture Modeling (LGMM) into the mid-50s revealed that, although some individuals remain chronic alcohol users, others decline in alcohol problem use. Differences seen among these groups may help in the treatment of alcohol dependence, such that more energy can be spent treating those likely to be in the more severe trajectories.
    Journal of studies on alcohol and drugs 11/2009; 70(6):859-69. DOI:10.15288/jsad.2009.70.859 · 2.76 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Partridge and Lerner (2007), in a secondary analysis of the New York Longitudinal Study, employed a chronometric polynomial growth curve model to argue that the developmental course of difficult temperament follows a non-linear trajectory over the first 5 years of life. The free curve slope intercept (FCSI) growth curve model of Meredith and Tisak (1990) is presented as a preferable conceptual alternative because it contains a number of currently popular statistical models, including repeated measures multivariate analysis of variance, factor mean, linear growth, linear factor analysis, and hierarchical linear models as special cases. As such, researchers can compare the fit of each of these models relative to the FCSI model, and, at times, to each other. The present paper conducts a re-analysis of the data, and establishes that fit of the FCSI model is arguably better than other statistical alternatives. The FCSI model is also used as the basis for identifying subgroups of individuals with their qualitatively distinct growth patterns within a growth mixture modeling framework. Copyright © 2010 John Wiley & Sons, Ltd.
    Infant and Child Development 03/2011; 20(2):194 - 212. DOI:10.1002/icd.692 · 1.20 Impact Factor
Show more