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Full-Text Articles in Business
Revised Estimates Of Dimension And Exercise Variance Components In Assessment Center Postexercise Dimension Ratings, Charles E. Lance, Tracy A. Lambert, Amanda G. Gewin, Filip Lievens, James M. Conway
Revised Estimates Of Dimension And Exercise Variance Components In Assessment Center Postexercise Dimension Ratings, Charles E. Lance, Tracy A. Lambert, Amanda G. Gewin, Filip Lievens, James M. Conway
Research Collection Lee Kong Chian School Of Business
The authors reanalyzed assessment center (AC) multitrait-multimethod (MTMM) matrices containing correlations among postexercise dimension ratings (PEDRs) reported by F. Lievens and J. M. Conway (2001). Unlike F. Lievens and J. M. Conway, who used a correlated dimension-correlated uniqueness model, we used a different set of confirmatory-factor-analysis-based models (1-dimension-correlated Exercise and 1-dimension-correlated uniqueness models) to estimate dimension and exercise variance components in AC PEDRs. Results of reanalyses suggest that, consistent with previous narrative reviews, exercise variance components dominate over dimension variance components after all. Implications for AC construct validity and possible redirections of research on the validity of ACs are discussed.
Innovation Heterogeneity And Schumpeterian Growth Models, Eduardo Pol, P. Carroll
Innovation Heterogeneity And Schumpeterian Growth Models, Eduardo Pol, P. Carroll
Faculty of Commerce - Papers (Archive)
Innovation heterogeneity refers to two empirical facts: economic sectors vary according to sources and rates of innovation, and innovations vary in terms of the magnitude of their economic impact. The central focus of this paper is the problem of scale effects in the Schumpeterian growth models. Although these models make endogenous the production of innovations, they assume not only an oversimplified pattern of sectoral innovation but also that major innovations are virtually indistinguishable from minor innovations. The main claim of the a er is that without a theoretical framework revolving around both the existence of realistic sectoral patterns of innovation …
Flexmix: A General Framework For Finite Mixture Models And Latent Glass Regression In R, Friedrich Leisch
Flexmix: A General Framework For Finite Mixture Models And Latent Glass Regression In R, Friedrich Leisch
Faculty of Business - Papers (Archive)
FlexMix implements a general framework for fitting discrete mixtures of regression models in the R statistical computing environment: three variants of the EM algorithm can be used for parameter estimation, regressors and responses may be multivariate with arbitrary dimension, data may be grouped, e.g., to account for multiple observations per individual, the usual formula interface of the S language is used for convenient model specification, and a modular concept of driver functions allows to interface many different types of regression models. Existing drivers implement mixtures of standard linear models, generalized linear models and model-based clustering. FlexMix provides the E-step and …
Why Teach Environmental Ethics? Because We Already Do, Raymond Benton Jr.
Why Teach Environmental Ethics? Because We Already Do, Raymond Benton Jr.
School of Business: Faculty Publications and Other Works
In this paper we argue for the importance of the formal teaching of environmental ethics. This is, we argue, both because environmental ethics is needed to respond to the environmental issues generated by the neoliberal movement in politics and economics, and because a form of environmental ethics is implicit, but unexamined, in that which is currently taught. We maintain that students need to become aware of the latent ethical dimension in what they are taught. To help them, we think that they need to understand how models and metaphors structure and impact their worldviews. We describe how a simple in-class …