Objective: This study assessed a mediational model in which negative automatic thoughts and anxiety sensitivity were hypothesized to mediate the relationship between perfectionism cognitions and depressive and anxiety symptoms. Participants: Participants were undergraduate students from an urban Canadian university. The data were collected from…

The current study investigated the mediating role of social achievement goals in the relation between classroom goal structures and academic engagement and social adjustment among 373 middle school students (52.8% female). Students' perceptions of classroom goal structures were measured in Fall; social achievement goals and academic and social…

Purpose: This study seeks to provide empirical evidence of relationships between organizational trust, knowledge transfer, creation and innovativeness at the firm level. It aims to hypothesize a mediational model implying that organizational trust is related to knowledge transfer, which will, in turn, enhance knowledge creation, thereby…

Objective: Mounting evidence has demonstrated a link between exposure to family of origin violence and the perpetration of teen dating violence (TDV). However, only recently have mechanisms underlying this relationship been investigated and very few studies have differentiated between exposure to father-to-mother and mother-to-father violence.…

The purpose of this study was to evaluate how sixth grade children planned, translated, and revised written narrative stories using a task reflecting current instructional and assessment practices. A modified version of the Hayes and Flower (1980) writing process model was used as the theoretical framework for the study. Two hundred one…

The tripartite model of anxiety and depression has received strong support among child and adolescent populations. Clinical samples of children and adolescents in these studies, however, have usually been referred for treatment of anxiety and depression. This study investigated the fit of the tripartite model with a complicated sample of…

Adolescents' emotional reactivity in family, close friendships, and romantic relationships was examined in a community-based sample of 416 two-parent families. Six waves of annual data were analyzed using structural equation modeling. Emotional reactivity to interparental conflict during early adolescence was associated prospectively with…

Prior research on professional psychological help-seeking behavior has operated on the assumption that the decision to seek help is based on intentional and reasoned processes. However, research on the dual-process prototype/willingness model (PWM; Gerrard, Gibbons, Houlihan, Stock, & Pomery, 2008) suggests health-related decisions may also…

Leadership in information technology (IT) firms remains a topic for study. Understanding how IT professionals react to leadership styles creates an opportunity for IT leaders to better lead by matching expectation to leadership style. Previous research has linked transformation leadership to the learning organization in the pharmaceutical sector,…

Hosting events and festivals is the best way of providing the wine tourism experience. Wine festivals offer a wide range of experiences that are different from day-to-day living, offer a lifestyle package and are an indicator of lifestyle tourism experience. Tourists travel to wine festivals for wine and other leisure-related experiences,…

The aim of this study was to investigate the direction of the effect between goal orientation, self-regulation and deep processing strategies in order to understand the impact of these three constructs on students' achievement. The participants were 110 freshmen from the engineering faculty at the Universite catholique de Louvain in Belgium, who…

In this article, we propose a model to estimate the direct and indirect effects of the relationship between subjective well-being and satisfaction in various domains of life using a partial least squares path modelling approach in a structural equation model framework. A drawback of these models is that they assume homogeneous behaviour over the…

Although structural equation modeling software packages use maximum likelihood estimation by default, there are situations where one might prefer to use multiple imputation to handle missing data rather than maximum likelihood estimation (e.g., when incorporating auxiliary variables). The selection of variables is one of the nuances associated…

Maximum likelihood is commonly used for the estimation of model parameters in the analysis of two-level structural equation models. Constraints on model parameters could be encountered in some situations such as equal factor loadings for different factors. Linear constraints are the most common ones and they are relatively easy to handle in…

A two-step process is commonly used to evaluate data-model fit of latent variable path models, the first step addressing the measurement portion of the model and the second addressing the structural portion of the model. Unfortunately, even if the fit of the measurement portion of the model is perfect, the ability to assess the fit within the…