Search

This study examined whether perceiving an event as a trauma influenced a cognitive processing model explaining posttraumatic growth (PTG). A cross-sectional questionnaire survey was conducted with 311 university students from eight universities in Japan. The participants provided information about the most stressful event they had experienced and completed the expanded version of the PTG Inventory, Core Belief Inventory, Event Related Rumination Inventory, and Cognitive and Emotional Processing from Disclosure Inventory. A multi-group structural equation modeling was conducted by dividing the participants into two groups depending on whether they identified the most stressful event as a trauma. The model with no constraint showed a good fit. The model with partial constraint showed a better fit than the models with no constraint or full constraint. The difference of the model was seen as a covariance between the Event Related Rumination Inventory and the Cognitive and Emotional Processing from Disclosure Inventory. The results demonstrated configural invariance and partial metric invariance. This indicated that PTG would be recognized irrespective of whether the event was perceived as a trauma. This study also indicated that different factors out of the model could be associated with the ruminative process and disclosure process. The importance of focusing on the process of PTG, regardless of an individual's perception of the event, was emphasized, especially for factors related to rumination and disclosure. [ABSTRACT FROM AUTHOR]

Marketing for sustainable tourism primarily attracts customers with a biospheric–altruistic value orientation. To reach a broader consumer group and also persuade people with a self-enhancement orientation to book sustainable hotels, the effectiveness of three different communication styles (emotionality levels, amount of sustainability information and inclusion of a label) is investigated, considering the consumer's value orientation. An experiment with 337 participants was conducted to analyze the effects of communication on consumer perceptions of well-being and credibility. Multigroup structural equation modeling was used to compare the impacts of communication style on participant's attitude toward booking a sustainable hotel, mediated by well-being and credibility. The results highlight significantly different communication effects among the two contrasting target groups. Consumers who are highly interested in sustainability (biospheric–altruistic value orientation) are persuaded by messages that include details about the hotel's sustainability performance, in order to increase the social–environmental well-being, whereas for customers who are less interested in sustainability (self-enhancement value orientation), a self-referential emotionally communication is essential, as it increases the emotional well-being. Inconsistent findings regarding the role of communication in raising the perception of credibility were obtained. [ABSTRACT FROM AUTHOR]

The authors' purpose was to examine the degree to which low achievement is related to ontogenetic factors (i.e., personal psychological traits expressed as attention and depression) or microsystemic factors (i.e., socioeconomic status, parenting, relationship with peers and teachers), using a total of 721 middle school students in South Korea. Based on the percentile rank, low-achieving students (bottom 15%; n = 323) and high-achieving students (top 15%; n = 398) were grouped, and a multigroup structural equation modeling was employed to determine which ecological factor(s) contribute to predict low achievement of middle school students. Results from multigroup structural equation modeling showed that 3 of the 6 ecological and ontological factors had significant direct or indirect effect on low achievement: socioeconomic status (direct effect), attention (direct effect), parenting (indirect effect). The findings are discussed in terms of the intertwined influences of ecological factors on low achievement, finally leading to the discussion on the limitations and future directions for research. [ABSTRACT FROM AUTHOR]

We present a framework for estimating average and conditional effects of a discrete treatment variable on a continuous outcome variable, conditioning on categorical and continuous covariates. Using the new approach, termed theEffectLiteRapproach, researchers can consider conditional treatment effects given values of all covariates in the analysis and various aggregates of these conditional treatment effects such as average effects, effects on the treated, or aggregated conditional effects given values of a subset of covariates. Building on structural equation modeling, key advantages of the new approach are (1) It allows for latent covariates and outcome variables; (2) it permits (higher order) interactions between the treatment variable and categorical and (latent) continuous covariates; and (3) covariates can be treated as stochastic or fixed. The approach is illustrated by an example, and open source software EffectLiteR is provided, which makes a detailed analysis of effects conveniently accessible for applied researchers. [ABSTRACT FROM PUBLISHER]