2 resultados para predictors of personal wellbeing

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In health and epidemiological research, the Healthy Lifestyle (HLS) is often invoked as an explanation for inconsistent effects. Modifiable components of the HLS are advocated as a panacea for the most common threats to public health. Biases resulting from the HLS are theorized to result from covariance among its components. This covariance has not yet been formally modeled. Furthermore, no mechanism has been proposed to explain this covariance among these factors. Using three large nationally representative samples, I evaluated the HLS as a latent variable. Using structural equation modeling (SEM) I evaluated the degree to which the shared variance of HLS components is accounted for by personality traits, and tested the HLS as a mediator of the personality health relationship. Across all three samples, the HLS fits well as a latent variable, is partially accounted for by personality traits, and mediates the effects of personality traits on health. In all cases personality traits have direct effects on health independent of the HLS. These results suggest that the utility of personality traits as predictors of health exceeds that provided by commonly used lifestyle predictors.

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The purpose of this study was to identify the structural pathways of personal cognition and social context as they influence knowledge sharing behaviors in communities of practice. Based on the existing literature, ten hypotheses and a conceptual model built on the basis of the social cognitive theory were developed regarding the interrelationships of the five constructs: self-efficacy for knowledge sharing, outcome expectations, sense of community, leadership of a community, and knowledge sharing. The data were collected through an online questionnaire from the employees who have participated in communities of practice in a Fortune 100 corporation. A total of 438 usable questionnaires were collected. Overall, three analyses were conducted in order to prove the given hypotheses: (a) hypothesized measurement model fit, (b) relational and influential associations among the constructs, and (c) structural equation model analysis (SEM). In addition, open-ended responses were analyzed. The results presented that (a) hypothesized measurement models were valid and reliable, (b) personal cognitive factors, self-efficacy and outcome expectations for knowledge sharing, were found to be significant predictors of community members’ sense of community and knowledge sharing behaviors, (c) sense of community had the most significant impact on the knowledge sharing, (d) as the perceived social context, sense of community mediated the effects of personal cognition on knowledge sharing behaviors, and (e) personal cognition and social context jointly contributed to knowledge sharing. In brief, all of the hypotheses were positively supported. A conclusive summary is provided along with contributive discussion. Implications and contributions to HRD researchers and practitioners are discussed, and recommendations are provided.