20 research outputs found

    Examining the generalizability of research findings from archival data

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    This initiative examined systematically the extent to which a large set of archival research findings generalizes across contexts. We repeated the key analyses for 29 original strategic management effects in the same context (direct reproduction) as well as in 52 novel time periods and geographies; 45% of the reproductions returned results matching the original reports together with 55% of tests in different spans of years and 40% of tests in novel geographies. Some original findings were associated with multiple new tests. Reproducibility was the best predictor of generalizability—for the findings that proved directly reproducible, 84% emerged in other available time periods and 57% emerged in other geographies. Overall, only limited empirical evidence emerged for context sensitivity. In a forecasting survey, independent scientists were able to anticipate which effects would find support in tests in new samples

    Numerical Calculation of Effective Density and Compressibility Tensors in Periodic Porous Media: A Multi-Scale Asymptotic Method

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    Abstract: A major issue in predicting and controlling (via design) absorption properties of rigid porous media is the determination of the frequency-dependent effective density and compressibility tensors. Unlike previous research efforts which employ in-house and, oftentimes, multiple numerical procedures for determining these two essential tensors, we formulate their solution in terms of a set of micro-scale governing equations (and associated boundary conditions) resulting from a multi-scale asymptotic analysis. The form of these equations is ideally suited for incorporation into the finite element analysis package, COMSOL ® Multiphysics. Incorporating the equations directly into COMSOL ® allows for arbitrary three-dimensional model generation, unit cell meshing, and ultimate analysis using a single software package. We demonstrate the validity of this approach by comparing our numerical results with those published in the literaturespecifically, we analyze porous media composed of rigid, face centered cubic (FCC) packed spheres
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