Self-construal is thought to mediate and explain the effects of culture on a wide variety of outcome variables. A meta-analysis of published cross-cultural self-construal research is reported in this article, and the results across studies suggests that the evidence for the predicted cultural differences is weak, inconsistent, or nonexistent. The results of 3 priming experiments (N = 121, N = 99, and N = 361) suggest that (a) priming does not account for the inconsistent results observed in the meta-analysis, (b) that scores on a self-construal scale appear to be measuring trait-like constructs that are not sensitive to priming, and (c) that measures of self-construals lack convergent validity. The results of several measurement studies (N = 121, 223, 230, 323, 214, 206, 126, 204, 148, 141, and 150) were inconsistent with the a priori two-factor measurement model in every case. Self-construal scales were found to be radically multidimensional and highly unstable within and across cultures. These results lead us to conclude that catastrophic validity problems exist in research involving the use of self-construal scales in cross-cultural research.

Modern agriculture provides the potential for sustainable feeding of the world's increasing population. Up to the present moment, genetically modified (GM) products have enabled increased yields and reduced pesticide usage. Nevertheless, GM products are controversial amongst policy makers, scientists and the consumers, regarding their possible environmental, ecological, and health risks. Scientific-and-political debates can even influence legislation and prospective risk assessment procedure. Currently, the scientifically-assessed direct hazardous impacts of GM food and feed on fauna and flora are conflicting; indeed, a review of literature available data provides some evidence of GM environmental and health risks. Although the consequences of gene flow and risks to biodiversity are debatable. Risks to the environment and ecosystems can exist, such as the evolution of weed herbicide resistance during GM cultivation. A matter of high importance is to provide precise knowledge and adequate current information to regulatory agencies, governments, policy makers, researchers, and commercial GMO-releasing companies to enable them to thoroughly investigate the possible risks.

The present paper is composed of two studies. The first study explored the variables influencing the purchase of avatar-related products through the avatar users' survey research. This proposed a theoretical model of the purchase of avatar-related products using attitude toward an avatar, subjective norm, self-presentation, identification, and immersion. Although significant relationships were found for the individual links, the model was not supported. The second study focused on which variables predict the intention to use avatar-related products. A model was tested with avatar non-users. Results indicated that all relationships among variables in the Technology Acceptance Model (TAM), such as perceived ease of use of avatar, perceived usefulness of avatar, attitude toward using avatar, and intention to use avatar-related products, were strongly supported, as was the link between Internet self-efficacy and perceived ease of use of avatar. Also, the peer groups' subjective norm component which was a unique variable successfully predicted intention to use avatar-related products. Overall, all hypotheses were supported and the data were judged to be consistent with the model.

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