54 research outputs found

    The Beck depression inventory as a measure of subjective well-being:A cross-national study

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    The present study examined the question whether the Beck Depression Inventory (BDI), which is one of the most widely used instruments to assess depression, can be used to measure differences in subjective well-being at national level. In order to establish the meaning of depression scores at country level, the functional equivalence (i.e., similarity of meaning) of depression scores at individual and country level was examined. Studies using the BDI in normal populations from 28 countries were collected. Depression showed the same correlates at individual and country level, which supports the functional equivalence of the BDI at the two levels. BDI scores and subjective well-being were then correlated with a number of country characteristics in order to test three theories of cross-national differences in subjective well-being. Livability theory stresses the importance of objective living conditions, comparison theory focuses on relative living conditions, and folklore theory states that cross-national differences can be explained by some national trait (e.g., beliefs and values concerning happiness). Cross-national differences in depression and subjective well-being could be explained by livability theory and folklore theory. BDI scores were negatively correlated with subjective well-being and other happiness-related variables. These findings suggest that depression had the same meaning at individual and country level and that depression is an adequate measure of (a lack of) subjective well-being at country level.

    Grain Surface Models and Data for Astrochemistry

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    AbstractThe cross-disciplinary field of astrochemistry exists to understand the formation, destruction, and survival of molecules in astrophysical environments. Molecules in space are synthesized via a large variety of gas-phase reactions, and reactions on dust-grain surfaces, where the surface acts as a catalyst. A broad consensus has been reached in the astrochemistry community on how to suitably treat gas-phase processes in models, and also on how to present the necessary reaction data in databases; however, no such consensus has yet been reached for grain-surface processes. A team of ∌25 experts covering observational, laboratory and theoretical (astro)chemistry met in summer of 2014 at the Lorentz Center in Leiden with the aim to provide solutions for this problem and to review the current state-of-the-art of grain surface models, both in terms of technical implementation into models as well as the most up-to-date information available from experiments and chemical computations. This review builds on the results of this workshop and gives an outlook for future directions

    Cross-cultural meta-analysis

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    Cross-cultural meta-analysis

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    Personality and culture: Demarcating between the common and the unique

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    Four traditions in research on personality and culture are distinguished: (i) the culture-and-personality school and recent relativistic perspectives, (ii) the trait approach, (iii) interactionistic orientations, and (iv) situationist approaches. Next, the first two of these traditions are evaluated to ascertain how much variance is explained by culture. Thereafter, it is argued that the (questionable) focus on explanations with a high level of inclusiveness or generality is a major reason for the near absence of situationist interpretation of cross- cultural differences. Finally, three possible strategies are discussed to bridge the gap between relativism (emphasizing differences) and universalism (assuming basic similarities). A suggestion is made as to how both approaches can be valuable when unexplainable, as well as explainable variances, in cross-cultural personality research are taken seriously

    Preface

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    Conceptual issues in multilevel models

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