Search

A study of the differences in psychiatric symptoms between a group of parent bereaved youths, group of youths who experienced death of another relative and a group of nonbereaved youths is presented. The findings show that both bereaved groups have more potential to show symptoms of depression and separation anxiety during the wave of death than the nonbereaved groups.

The present study was aimed at examining one relatively neglected part of the identity formation process: the short-term dynamics of identity formation. The short-term dynamics were assessed by examining (a) the day-to-day course of 2 key dimensions of identity formation (i.e., commitment and reconsideration) and (b) the impact of fluctuations in commitment and reconsideration on subsequent levels of these 2 dimensions. Longitudinal data on 580 early adolescents (54.8% boys, 45.2% girls) were used to test these assertions. The authors found evidence for a commitment-reconsideration dynamic that operated on a day-to-day basis. Furthermore, the findings confirmed E. H. Erikson's (1950) assertion that identity reflects a sense of sameness and continuity as a more stable identity (reflected by little day-to-day fluctuations) was predictive of higher levels of commitment and lower levels of reconsideration. Taken together, the present study underscores the importance of the short-term dynamics of identity formation. Keywords: identity formation, commitment, short-term dynamics, fluctuations, longitudinal DOI: 10.1037/a0019584

In this 2-year longitudinal study, we hypothesized that sex of the human child (Homo sapiens), differences in physical activity, and time of the year would interact to influence preschool children's sex segregation. We also hypothesized that activity would differentially relate to peer rejection for boys and girls. Consistent with the first hypothesis, high-activity girls started off as the most integrated group bur became more segregated with time, whereas high-activity boys remained the most segregated group across the duration of the study. The second hypothesis was also supported: For girls only, activity was significantly related to peer rejection during Year 1 only, the time when high-activity girls also interacted frequently with boys. Results are discussed in terms of sexual selection theory and gender boundary violations. Keywords: sexual segregation, physical activity, sex roles, sexual dimorphism DOI: 10.1037/a0018083

Longitudinal structural equation modeling was used to evaluate longitudinal relationships across adjacent grade levels 1 to 7 for levels of language in writing (Model 1, subword letter writing, word spelling, and text composing) or writing and reading (Model 2, subword letter writing and word spelling and reading; Model 3, word spelling and reading and text composing and comprehending). Significant longitudinal relationships were observed within and across levels of language: spelling to spelling and spelling to composing (Grades 1 to 7), Models 1 and 3, and composing to spelling (Grades 3 to 6, Model 1; Grades 4 to 6, Model 3); spelling to word reading and word reading to spelling (Grades 2 to 7), Models 2 and 3; spelling to word reading (Grade 1), Model 2, and word reading to spelling (Grade 1), Model 3: composition to comprehension (Grades 3 to 5), Model 3; comprehension to composition (Grades 2 to 6), Model 3; and comprehension to word reading (Grades 1 to 6), Model 3. Results are discussed in reference to the levels of language in translating ideas into written language and integrating writing and reading. Keywords: longitudinal structural equation modeling, writing development, writing--reading relationships, spelling, composing DOI: 10.1037/a0019318

Many areas of psychological, social, and health research are characterised by hierarchically structured data. Growth curves are usually represented by means of a two-level hierarchical structure in which observations are the first-level units nested within subjects, the second-level units. With data such as these, the best option for analysis is the general linear mixed model, which can be used even with longitudinal data series in which intervals are not constant or for which over the passage of time there is loss of data. In this paper an overview is given of the general linear mixed model approach to the analysis of longitudinal data in developmental research. The advantages of this model in comparison with the traditional approaches for analysing longitudinal data are shown, emphasising the usefulness of modelling the covariance structure properly to achieve a precise estimation of the parameters of the model. DOI 10.2466/PMS.110.2.547-566

Heterogeneity often exists among behavioral growth trajectories in a study population. In the evaluation of intervention effects for longitudinal randomized trials, it is informative to examine the impact of an intervention on subgroups characterized by different types of growth trajectories. This paper presents an application of growth mixture modeling to an ordinal-scale substance-use behavior outcome from the Aban Aya Youth Project (AAYP), a longitudinal preventive intervention trial targeting health-compromising behaviors among adolescents. Results suggested two classes of adolescent substance use growth trajectories: Class 1 (44.7% of the sample) started at a higher level and had a relatively shallow increase over time; Class 2 had a lower baseline level and a rapid increase over time. The intervention effectively reduced the rapid increase of substance use for the adolescents in the second class.

The group-based latent trajectory model allows investigators to identify distinctive trajectory groups based on relevant outcomes. Dual trajectory analysis enables examination of the interrelationship between two outcomes simultaneously. This paper describes the application of the group-based dual trajectory model in mental health and substance abuse research. We analyzed two related recovery outcomes: 1) social contact with non-substance abusing friends and 2) stage of substance abuse treatment. We identified four groups for social contact and four groups for substance abuse treatment. We then examined the interrelationship between the two outcomes across the trajectory groups over 10 years. The two outcomes are positively associated longitudinally and evolve in the same direction, although for specific groups, the two outcomes do not covary. By examining dynamic linkages across all trajectory groups between two longitudinal outcomes, the dual model provides a more comprehensive and realistic understanding of the underlying relationships between the two outcomes under investigation.

The growth curve modeling (GCM) technique has been widely adopted in longitudinal studies to investigate progression over time. The simplest growth profile involves two growth factors, initial status (intercept) and growth trajectory (slope). Conventionally, all repeated measures of outcome are included as components of the growth profile, and the first measure is used to reflect the initial status. Selection of the initial status, however, can greatly influence study findings, especially for randomized trials. In this article, we propose an alternative GCM approach involving only post-intervention measures in the growth profile and treating the first wave after intervention as the initial status. We discuss and empirically illustrate how choices of initial status may influence study conclusions in addressing research questions in randomized trials using two longitudinal studies. Data from two randomized trials are used to illustrate that the alternative GCM approach proposed in this article offers better model fitting and more meaningful results.

The importance of spatial ability in educational pursuits and the world of work was examined, with particular attention devoted to STEM (science, technology, engineering, and mathematics) domains. Participants were drawn from a stratified random sample of U.S. high schools (Grades 9-12, N = 400,000) and were tracked for 11 + years; their longitudinal findings were aligned with pre-1957 findings and with contemporary data from the Graduate Record Examination and the Study of Mathematically Precocious Youth. For decades, spatial ability assessed during adolescence has surfaced as a salient psychological attribute among those adolescents who subsequently go on to achieve advanced educational credentials and occupations in STEM. Results solidify the generalization that spatial ability plays a critical role in developing expertise in STEM and suggest, among other things, that including spatial ability in modern talent searches would identify many adolescents with potential for STEM who are currently being missed. Keywords: spatial ability, talent searches, longitudinal study, STEM, constructive replication DOI: 10.1037/a0016127

Studying human development involves describing, explaining, and optimizing intraindividual change and interindividual differences in such change and, as such, requires longitudinal research. The selection of the appropriate type of longitudinal design requires selecting the option that best addresses the theoretical questions asked about developmental process and the use of appropriate statistical procedures to best exploit data derived from theory-predicated longitudinal research. This paper focuses on several interrelated problematics involving the treatment of time and the timing of observations that developmental scientists face in creating theory-design fit and in charting in change-sensitive ways developmental processes across life. We discuss ways in which these problematics may be addressed to advance theory-predicated understanding of the role of time in processes of individual development. Key Words Individual development * Intraindividual change * Longitudinal research * Time and timing of observations

This article reviews the premises of configural frequency analysis (CFA), including methods of choosing significance tests and base models, as well as protecting [alpha], and discusses why CFA is a useful approach when conducting longitudinal person-oriented research. CFA operates at the manifest variable level. Longitudinal CFA seeks to identify those temporal patterns that stand out as more frequent (CFA types) or less frequent (CFA antitypes) than expected with reference to a base model. A base model that has been used frequently in CFA applications, prediction CFA, and a new base model, auto--association CFA, are discussed for analysis of cross-classifications of longitudinal data. The former base model takes the associations among predictors and among criteria into account. The latter takes the auto-associations among repeatedly observed variables into account. Application examples of each are given using data from a longitudinal study of domestic violence. It is demonstrated that CFA results are not redundant with results from log-linear modeling or multinomial regression and that, of these approaches, CFA shows particular utility when conducting person-oriented research. Keywords: configural frequency analysis, longitudinal models, prediction configural frequency analysis, auto-association configural frequency analysis, person-oriented research Supplemental materials: http://dx.doi.org/10.1037/0012-1649.44.2.437.supp

Research shows that Dutch smokers with lower education level engage in smoking, suggesting that the general perception of health and age of smoking initiation are indicators of educational differences and ccontinuation of smoking by a population of 1,354 smoking adults.

Results do not support a relationship between changes in smoking and changes in drinking. The structural equation model incorporating data from 344 adults suggests that changes in the drinking behavior are not related to changes in smoking behavior.

Cohort studies typically require repeated contacts with the same study participants over many years. In large-scale follow-up studies of women, it can be difficult to locate and maintain contact with participants because women are more likely to experience name changes through marriage and divorce and may be less visible in public records, particularly contemporary elderly women. This article reports on the methods used in 1990 and 1991 to trace 998 participants of the Women's Health Study (WHS) who were enrolled during the 1930s in the Menstruation and Reproductive History study, a longitudinal study on menstruation and reproduction. Some of these women had been lost to follow-up for nearly 50 years. This article reviews the strategies used to locate the WHS participants.

A summary of methods to decrease attrition in longitudinal school-based studies conducted with adolescents beginning junior high schools or middle schools is presented. These include collection of contact information about students, additional days to collect data from absentee students, data collection in new high schools once students graduate from junior high schools or middle schools, sending questionnaires by mail, and conducting telephone or home interviews.