Psychometric Testing of the Brief Coping Orientation to Problems Experienced Inventory Among Diverse Women From a Rural Community in Hawai'i.

The Brief COPE (Coping Orientation to Problems Experienced) Inventory is a standardized and widely used scale that enables researchers to measure coping responses of persons in relation to stressors. The psychometric properties of this scale, however, have not been assessed for communities in Hawai'i. This study investigated the psychometric properties of the Brief COPE for diverse women from a rural community on the island of O'ahu in Hawai'i.

A Resilience Model of Adult Native Hawaiian Health Utilizing a Newly Multi-Dimensional Scale.

Resilience has conventionally focused on an individual's ability to overcome adversity. Recent research expands on this definition, making resilience a multi-dimensional construct. Native Hawaiians experience health disparities compared to the general population of Hawai'i.

Estimating Age-Based Developmental Trajectories Using Latent Change Score Models Based on Measurement Occasion.

Accelerated longitudinal designs (ALDs) are designs in which participants from different cohorts provide repeated measures covering a fraction of the time range of the study. ALDs allow researchers to study developmental processes spanning long periods within a relatively shorter time framework. The common trajectory is studied by aggregating the information provided by the different cohorts.

Changes in PTSD symptomatology and mental health during pregnancy and postpartum.

Changes in mental health symptoms throughout pregnancy and postpartum may impact a woman's experience and adjustment during an important time. However, few studies have investigated these changes throughout the perinatal period, particularly changes in posttraumatic stress disorder (PTSD) symptoms. The purpose of this study was to examine longitudinal changes in PTSD, depression, and anxiety symptomatology during pregnancy and postpartum.

Modeling Nonlinear Change via Latent Change and Latent Acceleration Frameworks: Examining Velocity and Acceleration of Growth Trajectories.

We propose the use of the latent change and latent acceleration frameworks for modeling nonlinear growth in structural equation models. Moving to these frameworks allows for the direct identification of rates of change and acceleration in latent growth curves-information available indirectly through traditional growth curve models when change patterns are nonlinear with respect to time. To illustrate this approach, exponential growth models in the three frameworks are fit to longitudinal response time data from the Math Skills Development Project ( Mazzocco & Meyers, 2002 , 2003 ).

Potential causal relationship between depressive symptoms and academic achievement in the Hawaiian high schools health survey using contemporary longitudinal latent variable change models.

There is a relatively consistent negative relationship between adolescent depressive symptoms and educational achievement (e.g., grade point average [GPA]).

Nonlinear growth curves in developmental research.

Developmentalists are often interested in understanding change processes, and growth models are the most common analytic tool for examining such processes. Nonlinear growth curves are especially valuable to developmentalists because the defining characteristics of the growth process such as initial levels, rates of change during growth spurts, and asymptotic levels can be estimated. A variety of growth models are described beginning with the linear growth model and moving to nonlinear models of varying complexity.

Modeling life-span growth curves of cognition using longitudinal data with multiple samples and changing scales of measurement.

The authors use multiple-sample longitudinal data from different test batteries to examine propositions about changes in constructs over the life span. The data come from 3 classic studies on intellectual abilities in which, in combination, 441 persons were repeatedly measured as many as 16 times over 70 years. They measured cognitive constructs of vocabulary and memory using 8 age-appropriate intelligence test batteries and explore possible linkage of these scales using item response theory (IRT).

Genetic variance in processing speed drives variation in aging of spatial and memory abilities.

Previous analyses have identified a genetic contribution to the correlation between declines with age in processing speed and higher cognitive abilities. The goal of the current analysis was to apply the biometric dual change score model to consider the possibility of temporal dynamics underlying the genetic covariance between aging trajectories for processing speed and cognitive abilities. Longitudinal twin data from the Swedish Adoption/Twin Study of Aging, including up to 5 measurement occasions covering a 16-year period, were available from 806 participants ranging in age from 50 to 88 years at the 1st measurement wave.

The Dynamic Interdependence of Developmental Domains Across Emerging Adulthood.

Emerging adulthood is a period in which profound role changes take place across a number of life domains including finance, romance, and residence. On the basis of dynamic systems theory, change in one domain should be related to change in another domain, because the concept of development according to this approach is a relational one. To evaluate this hypothesis dynamic systems analysis was applied to data from narrative interviews of 200 respondents covering the years between 17 and 27 to examine how change in one domain affects change in another domain.

Structural equation models for evaluating dynamic concepts within longitudinal twin analyses.

A great deal of prior research using structural equation models has focused on longitudinal analyses and biometric analyses. Some of this research has even considered the simultaneous analysis of both kinds of analytic problems. The key benefits of these kinds of analyses come from the estimation of novel parameters, such as the heritability of changes.

Comparative longitudinal structural analyses of the growth and decline of multiple intellectual abilities over the life span.

Latent growth curve techniques and longitudinal data are used to examine predictions from the theory of fluid and crystallized intelligence (Gf-Gc theory; J. L. Horn & R.

Age-related change in personality disorder trait levels between early adolescence and adulthood: a community-based longitudinal investigation.

Objective: To investigate change in personality disorder (PD) traits between early adolescence and early adulthood among individuals in the community.

Method: PD traits were assessed in 1983 (mean age = 14), 1985-86 (mean age = 16) and 1992 (mean age = 22) in a representative community sample of 816 youths.

Results: Overall, PD traits declined 28% during both adolescence and early adulthood.

Modeling incomplete longitudinal and cross-sectional data using latent growth structural models.

In this paper we describe some mathematical and statistical models for identifying and dealing with changes over age. We concentrate specifically on the use of a latent growth structural equation model approach to deal with issues of: (1) latent growth models of change, (2) differences in longitudinal and cross-sectional results, and (3) differences due to longitudinal attrition. This is a methodological paper using simulated data, but we base our models on practical and conceptual principles of modeling change in developmental psychology.

Structural modeling of mixed longitudinal and cross-sectional data.

In this paper we describe some mathematical and statistical models for dealing with changes over age. We concentrate specifically on the use of a structural equation modeling (SEM) approach (using computer programs like LISREL) to deal with issues of: (1) group differences in regression parameters, (2) differences in longitudinal and cross-sectional results, (3) differences due to longitudinal attrition, and (4) mixtures of these problems. To illustrate these ideas we use data from a previous study of hypertension and intellectual abilities (from Schultz, Elias, Robbins, Streeten, and Blakeman, 1986).