On the Performance of Likelihood-Based Difference Tests in Nonlinear Structural Equation Models

This article investigates likelihood-based difference statistics for testing nonlinear effects in structural equation modeling using the latent moderated structural equations (LMS) approach. In addition to the standard difference statistic T_D, 2 robust statistics have been developed in the literature to ensure valid results under the conditions of nonnormality or small sample sizes: the robust T_DR and the “strictly positive” T_DRP. These robust statistics have not been examined in combination with LMS yet. In 2 Monte Carlo studies we investigate the performance of these methods for testing quadratic or interaction effects subject to different sources of nonnormality, nonnormality due to the nonlinear terms, and nonnormality due to the distribution of the predictor variables. The results indicate that T_D is preferable to both T_DR and T_DRP. Under the condition of strong nonlinear effects and nonnormal predictors, T_DR often produced negative differences and T_DRP showed no desirable power.     

Consultants’ Learning within Academia: Five devices for the design of university-based learning opportunities for management consultants

This paper explores the ways in which it is possible for universities to design learning opportunities for management consultants. Drawing on a successful practice in The Netherlands and using the literature on learning, development of competencies and career theory, it investigates selected aspects of this particular “market”, comparing the conventions governing the practice of consultants with those of academic practice. Its subsequent argument for the successful design of learning opportunities for professional consultants is organised around a discussion of five learning “devices”: (1) a self-reflective design practice; (2) a design process operating along three dimensions - the acquisition of knowledge and/or techniques, development of professional competencies, and personal and professional transitions; (3) treating knowledge as a process rather than a product; (4) building on learning experiences in work and on anticipated performances; and (5) a prohibition of “ego” in consultants' learning. The paper concludes with some reflections on the use of these devices elsewhere.     

Data-driven approaches to education governance and their implications

Educational Assessment, Evaluation and Accountability -