This longitudinal study of 195 young workers responds to calls for the study of healthy work at discrete life stages. Based on social cognitive and affective events theories and using structural equation modeling, results indicated that both perceived job self-efficacy and job-related affect fully mediate the relationship between interpersonal…

Using structural equation modeling, we found empirical support for the prevailing theory that subjective well-being consists of three domains: (1) cognitive evaluations of one's life (i.e., life satisfaction or happiness); (2) positive affect; and (3) negative affect. Multiple indicators of satisfaction/happiness were shown to have strong…

Participants were 360 (52.2% male) ethnically diverse and academically at-risk first-grade children attending one of three school districts in southeast and central Texas. Using latent variable structural equation modeling, we tested a theoretical model positing that the quality of the teacher-student relationship in first grade predicts…

Burleson and Goldsmith's (1998) comforting model suggests an appraisal-based mechanism through which comforting messages can bring about a positive change in emotional states. This study is a first empirical test of three causal linkages implied by the appraisal-based comforting model. Participants (N=258) talked about an upsetting event with a…

Forgiveness has frequently been theorized to be related to decreased psychological distress, and longitudinal survey research is important for the examination of this relationship. The prospective relation of forgiveness to psychological distress symptoms (i.e., depression, anxiety, and stress) at a later time point (an average of 36 weeks later)…

Structural equation models are widely appreciated in social-psychological research and other behavioral research to model relations between latent constructs and manifest variables and to control for measurement error. Most applications of SEMs are based on fully observed continuous normal data and models with a linear structural equation.…

Complex survey designs often employ multistage cluster sampling designs and oversample particular units to ensure more accurate population parameter estimates. These issues must be accommodated in the analysis to ensure accurate parameter estimation. Incorporation of sample weights in some statistical procedures has been studied. However, research…

This article builds on Ajzen's theory of planned behavior and on Stern et al.'s value-belief-norm theory to propose and test a model that predicts proenvironmental behavior. In addition to relationships between beliefs, attitudes, and behaviors, we incorporate Inglehart's postmaterialist and Schwartz's harmony value dimensions as contextual…

This study assessed the combined and differential contributions of Chinese mothers and fathers (in terms of spouse-reported physically coercive and psychologically controlling parenting) to the development of peer-reported physical and relational aggression in their preschool-age children (mean age of 5 years). Results of the two-group (boys and…

Theorists and practitioners have long recognised that working with trauma clients can trigger reactions in the therapist similar to those experienced by the client. Nevertheless, research in this area has been lacking. One obstacle has been confusion regarding key terms. Vicarious traumatisation is the most appropriate concept given that it…

The usefulness of assessing individual fit in latent growth curve models was examined. The study used simulated data based on an unconditional and a conditional latent growth curve model with a linear component and a small quadratic component and a linear model was fit to the data. Then the overall fit of linear and quadratic models to these data…

Using structural equation modeling the authors evaluated the contribution of morphological awareness, phonological memory, and phonological decoding to reading comprehension, reading vocabulary, spelling, and accuracy and rate of decoding morphologically complex words for 182 4th- and 5th-grade students, 218 6th- and 7th-grade students, and 207…

In traditional factor analysis, the variance-covariance matrix or the correlation matrix has often been a form of inputting data. In contrast, in Bayesian factor analysis, the entire data set is typically required to compute the posterior estimates, such as Bayes factor loadings and Bayes unique variances. We propose a simple method for computing…

The aim of this study was to understand whether the reading comprehension process is better explained by a single or by multiple factors. 184 students (9 to 13 years old) were presented with a recently devised battery of tests, that measure ten aspects of reading comprehension. Structural equation modelling showed that a two factors model better…

This study adds to the growing body of research with a focus on (1) the characteristics of accelerated (dual enrolled) students versus their counterparts who did not participate in accelerated programs; (2) differences in academic outcomes of accelerated and non-accelerated students; and (3) differences in days to complete the associate degree for…