The Use of Latent Trajectory Models in Psychopathology Research.

Despite the recent surge in the development of powerful modeling strategies to test questions about individual differences in stability and change over time, these methods are not currently widely used in psychopathology research. In an attempt to further the dissemination of these new methods, the authors present a pedagogical introduction to the structural equation modeling based latent trajectory model, or LTM. They review several different types of LTMs, discuss matching an optimal LTM to a given question of interest, and highlight several issues that might be particularly salient for research in psychopathology. The authors augment each section with a review of published applications of these methods in psychopathology-related research to demonstrate the implementation and interpretation of LTMs in practice. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Determinants of sexual and dating behaviors among adolescents.

Data on sexual behavior were obtained from 183 male and 193 female 12–18 yr olds, selected from 3 birth cohorts using a stratified random sample. Eight latent constructs—sexual and dating involvement, self-acceptance, feminist sex-role attitudes, deviant social network, importance of dating, lack of heterosexual competence, sexually active social network, and stressful change events—were hypothesized to explain the variance in 26 observed variables. Several causal models were tested that specified structural relationships among the latent constructs. A theoretically meaningful model was arrived at that linked the 8 error-free factors. This model indicates that dating and sexual involvement was a direct function only of the importance of dating, which in turn was positively related to self-acceptance and stressful changes and negatively related to lack of heterosexual competence. (52 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Depression ratings, reported sexual risk behaviors, and methamphetamine use: Latent growth curve models of positive change among gay and bisexual men in an outpatient treatment program.

Although the cessation of substance use is the principal concern of drug treatment programs, many individuals in treatment experience co-occurring problems such as mood disruptions and sexual risk behaviors that may complicate their recovery process. This study assessed relationships among dynamic changes tracked over time in methamphetamine use, depression symptoms, and sexual risk behaviors (unprotected anal intercourse) in a sample of 145 methamphetamine-dependent gay and bisexual males enrolled in a 16-week outpatient drug treatment research program. Participants were randomly assigned into 1 of 4 conditions: contingency management (CM), cognitive behavioral therapy (CBT; the control condition), combined CM and CBT, and a tailored gay-specific version of the CBT condition. Using latent growth curve models, the authors assessed the relationship of means (intercepts) and the slopes of the 3 measures of interest over time to test whether changes in methamphetamine use predicted declining rates of depression and risky sexual behavior in tandem. Participants with the greatest downward trajectory in methamphetamine use (urine verified) reported the greatest and quickest decreases in reported depressive symptoms and sexual risk behaviors. The control group reported the most methamphetamine use over the 16 weeks; the tailored gay-specific group reported a more rapidly decreasing slope in methamphetamine use than the other participants. Findings indicate that lowering methamphetamine use itself has a concurrent and synergistic effect on depressive symptoms and risky sexual behavior patterns. This suggests that some users who respond well to treatment may show improvement in these co-occurring problems without a need for more intensive targeted interventions. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Optimal scaling of HIV-related sexual risk behaviors in ethnically diverse homosexually active men.

As HIV-related behavioral research moves increasingly in the direction of seeking to determine predictors of high-risk sexual behavior, more efficient methods of specifying patterns are needed. Two statistical techniques, homogeneity analysis and latent class analysis, useful in scaling binary multivariate data profiles are presented. Both were used to analyze reported sexual behavior patterns in two samples of homosexually active men, one sample of 343 primarily White gay men attending an HIV workshop and one sample of 837 African American gay men recruited nationally. Results support the existence of a single, nonlinear, latent dimension underlying male homosexual behaviors consistent with HIV-related risk taking. Both statistical methods provide an efficient means to optimally scale sexual behavior patterns, a critical outcome variable in HIV-related research. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Reliability and stability of executive functioning in older adults.

A number of methodological questions have been raised about the reliability and validity of measuring executive functioning (EF) across multiple time points. In this study, correlational and latent-variable analyses were used to examine test-retest reliability of 5 common measures of EF and the stability of a latent EF construct. One hundred eighteen nondemented older adults were tested twice over a 4- to 8-week period. Findings demonstrated modest reliability of individual EF measures but very high stability of a latent EF construct. Relative contributions of each measure to the latent EF factor did not change across measurement trials. In addition, age-related effects on EF were similar at the 2 time points and were within the expected range. Implications for future studies of EF are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A Latent Markov Model for the Analysis of Longitudinal Data Collected in Continuous Time: States, Durations, and Transitions.

Markov models provide a general framework for analyzing and interpreting time dependencies in psychological applications. Recent work extended Markov models to the case of latent states because frequently psychological states are not directly observable and subject to measurement error. This article presents a further generalization of latent Markov models to allow for the analysis of rating data that are collected at arbitrary points in time. This extension offers new ways of investigating change processes by focusing explicitly on the durations that are spent in latent states. In an experience sampling application the author shows that such duration analyses can provide valuable insights about chronometric features of emotions. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Is risky sexual behavior continuous or categorical? A taxometric analysis of the Sexual Risk Survey.

Risky sexual behaviors are behaviors that involve the possibility of an adverse outcome, such as contracting a sexually transmitted infection or unwanted pregnancy. The question of whether risky sexual behavior exists as a discrete class (i.e., taxon) or as a dimensional construct has not previously been explored. The authors performed a set of taxometric analyses on 4 factor scales derived from the Sexual Risk Survey (Turchik & Garske, 2009) with data from 1,103 college students. The results provided consistent support for a dimensional latent structure in which variations in reported risky sexual behavior reflect differences in degree and not differences in kind. The implications of these findings for the assessment of risky sexual behavior are discussed. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Testing the degree of cross-sectional and longitudinal dependence between two discrete dynamic processes.

Developmental research often involves studying change across 2 or more processes or constructs simultaneously. A natural question in this work is whether change in these 2 processes is related or independent. Associative latent transition analysis (ALTA) was designed to test hypotheses about the degree to which change in 2 discrete latent variables is related. The ALTA model is a type of latent class model, which is a categorical latent variable model based on categorical indicators. In the ALTA approach, level and change on 1 variable is predicted by level and change in another. Two types of hypotheses are discussed: (a) broad hypotheses of dependence between the 2 discrete latent variables and (b) targeted hypotheses comparing specific patterns of change between levels of the discrete variables. Both types of hypotheses are tested via nested model comparisons. Analyses of relations between psychological state and substance use illustrate the model. Recent psychological state and recent substance use were found to be associated cross-sectionally and longitudinally, implying that change in recent substance use was related to change in recent psychological state. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Developmental relations and patterns of change between alcohol use and number of sexual partners from adolescence through adulthood.

We explored two unanswered questions about the role of alcohol use in sexual behavior. First, we considered whether alcohol use temporally precedes and predicts changes in sexual behavior assessed as the number of sexual partners, whether the reverse pattern holds, or whether the association reflects a common, external cause. Second, we assessed whether associations between these behaviors change as adolescents transition to adulthood. These questions were addressed with a bivariate dual change latent difference score model. Drinking frequency and number of yearly sex partners were assessed 8 times across a 13-year period in a sample of 553 individuals. Assessment began when participants were in the 9th grade (age: M = 15.11 years, SD = 0.43). In addition to an association between the individual growth trajectories of these behaviors, alcohol use was a leading indicator of changes in number of sex partners throughout adolescence, but the reverse pattern was not supported. Of importance, the predictive association could not be explained by individual differences in impulsivity, excitement seeking, conduct problems, hostility/aggression, conventional attitudes, gender, or divorce. Finally, in a developmentally meaningful pattern, alcohol use ceased to significantly predict changes in the number of sexual partners as adolescents transitioned to adulthood. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Stability and change in patterns of concerns related to eating, weight, and shape in young adult women: A latent transition analysis.

Although college women are known to be at high risk for eating-related problems, relatively little is known about how various aspects of concerns related to eating, weight, and shape are patterned syndromally in this population. Moreover, the extent to which various patterns represent stable conditions or transitory states during this dynamic period of development is unclear. The present study used latent class and latent transition analysis (LCA/LTA) to derive syndromes of concerns related to eating, weight, and shape and movement across these syndromes in a sample of 1,498 women ascertained as first-time freshmen and studied over 4 years. LCA identified 5 classes characterized by (a) no obvious pathological eating-related concerns (prevalence: 28%–34%); (b) a high likelihood of limiting attempts (prevalence: 29%–34%); (c) a high likelihood of overeating and binge eating (prevalence: 14%–18%); (d) a high likelihood of limiting attempts and overeating or binge eating (prevalence: 14%–17%); and (e) pervasive bulimiclike concerns (prevalence: 6%–7%). Membership in each latent class tended to be stable over time. When movement occurred, it tended to be to a less severe class. These findings indicate that there are distinct, prevalent, and relatively stable forms of eating-related concerns in college women. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The effects of organizational embeddedness on development of social capital and human capital.

This article examines the effects of organizational embeddedness on employees' activities to build social capital and human capital. To test a latent growth model, we collected data from 375 managers at multiple points over an 8-month period. We found that the more embedded employees perceived themselves to be at Time 1, the more likely they were to show declines in social capital development behaviors over time. In addition, declines in social capital development behavior were directly related to declines in human capital development behavior over time. These findings highlight the potential negative consequences embeddedness can have on employees' career development activity. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Analyzing true change in longitudinal multitrait-multimethod studies: Application of a multimethod change model to depression and anxiety in children.

The authors show how structural equation modeling can be applied to analyze change in longitudinal multitrait-multimethod (MTMM) studies. For this purpose, an extension of latent difference models (McArdle, 1988; Steyer, Eid, & Schwenkmezger, 1997) to multiple constructs and multiple methods is presented. The model allows investigators to separate true change from measurement error and to analyze change simultaneously for different methods. The authors also show how Campbell and Fiske’s (1959) guidelines for analyzing convergent and discriminant validity can be applied to the measurement of latent change. The practical application of the multimethod change model is illustrated in a reanalysis of child depression and anxiety scores (N = 906 American children) that were assessed by self- and parent reports on three measurement occasions. The analyses revealed that (a) the convergent validity of change was low for both constructs and (b) sex was a significant predictor of self-reported, but not of parent reported, anxiety states. Finally, the authors discuss advantages and limitations and compare the model with other approaches for analyzing longitudinal MTMM data. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Empirical and Conceptual Problems With Longitudinal Trait-State Models: Introducing a Trait-State-Occasion Model.

The latent trait-state-error model (TSE) and the latent state-trait model with autoregression (LST-AR) represent creative structural equation methods for examining the longitudinal structure of psychological constructs. Application of these models has been somewhat limited by empirical or conceptual problems. In the present study, Monte Carlo analysis revealed that TSE models tend to generate improper solutions when N is too small, when waves are too few, and when occasion factor stability is either too large or too small. Mathematical analysis of the LST-AR model revealed its limitation to constructs that become more highly auto-correlated over time. The trait-state-occasion model has fewer empirical problems than does the TSE model and is more broadly applicable than is the LST-AR model. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A person-centered, longitudinal approach to sexual victimization.

Objective: Little research has drawn attention to distinct patterns of sexual victimization across time, although previous findings strongly indicate heterogeneity. Using longitudinal data, we tested a series of latent class growth models in an attempt to find meaningful patterns of sexual victimization frequency among female college students. Method: A sample of women (n = 1,580) answered questions at 5 time points concerning their childhood, adolescent, and collegiate sexual experiences. Latent class growth analysis was used with frequencies of sexual victimization at each of the 5 time points as indicators. Results: A 4-class model was selected on the basis of its fit to the data and its interpretability. The 4 classes are interpreted as low/none, moderate-increasing, decreasing, and high-increasing trajectories of sexual victimization. Negative childhood experiences—childhood sexual abuse, witnessing domestic violence, and parental physical punishment—partially explained latent trajectory membership. Conclusion: Possible implications of this research include the development of more specialized primary, secondary, and tertiary sexual assault prevention programs based on the victimization trajectories indicated by these analyses. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Evaluating a prevention program for teenagers on sexual coercion: A differential effectiveness approach.

The authors evaluated a coeducational program for teenagers on preventing sexual coercion in dating situations. Students examined individual and social attitudes underlying coercive sexual behavior and learned communication skills aimed at preventing or dealing with unwanted sexual advances. Instruction was enhanced by video and an interactive video "virtual date." Outcomes were assessed using sexual attitude scales with a sample of 458 high school students. Student health education classes were randomly assigned to either a treatment or a control condition. Findings, based on a latent variable model of differential effectiveness, showed that students in the treatment group with initial coercive attitude scores at or above the mean benefited significantly more than students with the same range of scores in the control group. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Correct and incorrect interpretations of correlations between risk perceptions and risk behaviors.

Correlations between risk perceptions and risk behaviors are used by investigators to answer 2 important and easily confused questions: Are individuals' perceptions of their personal risk accurate, correctly reflecting their precautions and their risk-increasing behaviors, and does recognition of high personal risk cause people to adopt precautions to reduce that risk? Researchers who use survey data to investigate these questions often look at the wrong correlations to get their answers. Furthermore, as members of a population adopt precautions and change their risk status, correlations between perceived risk and risk behavior in this population also change. A mathematical model of precaution adoption—allowing a bidirectional relationship between perception and behavior—is used to illustrate the different correlations between risk perception and risk behavior that can be examined and the changes in correlations that can occur with the passage of time. Recommendations are provided concerning the correlations most appropriate for answering each of the 2 preceding questions. Which correlation is appropriate to answer the 2nd question varies depending on whether a study is begun before people have taken precautions or after ample time to take precautions has already passed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A latent change score analysis of a randomized clinical trial in reasoning training.

The authors analyzed longitudinal data from a cognitive training experiment--Advanced Cognitive Training for Independent and Vital Elderly--using several alternative contemporary statistical models to test dynamic hypotheses based on latent change scores. The analyses focused on pretest and posttest data for only the group who received Reasoning training compared with the No-Contact (control) group. The initial structural equation modeling (SEM) path model isolated several training effects and an important source of transfer of training, Near→Far, but this transfer was not increased due to training. The subsequent models, which accounted for pretest differences and latent changes, implied that only the Near measurements were influenced by training, and the change transfer was small. Introduction of common factors for both Near and Far measurements showed the factor patterns were unaffected by training or time and suggested training was a broader effect than in any single variable. The bivariate analysis of common factors did not appear to alter the previous results. Addition of demographic covariates and latent mixture analysis of the trained group led to further results. The uses of contemporary SEMs with experimental data are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The relative effects of deprivation of the latent and manifest benefits of employment on the well-being of unemployed people.

This study investigated the relative contributions of the individual latent and manifest benefits of employment to well-being in a sample of 248 unemployed people. Participants completed measures of well-being and the latent (time structure, activity, status, collective purpose, and social contact) and manifest (financial strain) benefits of employment. Significant associations were found between the latent benefits and well-being and between the manifest benefits and well-being. Both latent and manifest benefits contributed significantly to the prediction of well-being, with the manifest benefit accounting for the largest proportion. Although all latent benefits contributed significantly, status emerged as the most important contributor, followed by time structure and collective purpose. Results are discussed in the context of M. Jahoda's (1982) latent deprivation model and D. Fryer's (1986) agency restriction model. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A longitudinal study of conversations with parents about sex and dating during college.

Emerging adulthood is a time of sexual and romantic relationship development as well as change in the parent–child relationship. This study provides a longitudinal analysis of 30 young adults’ (17 women, 13 men) sexual experiences, attitudes about sexuality and dating, and reported conversations with parents about sexuality and dating from the 1st and 4th years of college. Self-report questionnaires revealed increases in general closeness with parents, increases in sexual and dating experiences, and more sexually permissive as well as more gender stereotyped attitudes. Qualitative analyses of individual interviews indicated a movement from unilateral and restrictive sex-based topics to more reciprocal and relationship-focused conversations over time. Gender analyses revealed that young women reported more restrictive sex messages and young men more positive sex messages. Participants also described increased openness and comfort in talking about sexual topics with both mothers and fathers from the 1st to 4th year of college. Overall, the results suggest that prior findings of increased mutuality with parents during the college years extend to the traditionally taboo topic of sexuality. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Close relationships and elevated HIV risk behavior: Evidence and possible underlying psychological processes.

A review of research on AIDS preventive behavior indicates that minority and nonminority heterosexual adolescents and adults, gay men, injection drug users, and commercial sex workers are all less likely to practice safer sex with close relationship partners, compared with partners they perceive to be "casual" sexual partners. Because many individuals in close relationships have engaged in HIV risk behavior over extended periods of time and are unaware of their actual HIV status, practicing unprotected sexual intercourse with a committed relationship partner who is not tested for HIV appears to be a major and unrecognized source of HIV risk. This article reviews the evidence for higher levels of HIV risk behavior in close relationships and then presents relevant conceptual and empirical work to explore the psychological processes that may underlie risky sexual behavior in close relationships, using as a framework the information-motivation-behavioral skills model of preventive behavior. (PsycINFO Database Record (c) 2010 APA, all rights reserved)