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Full-Text Articles in Social and Behavioral Sciences
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 …