Mature Ego Development: A Gateway to Ego Transcendence?

This paper explores whether the highest stage in ego development is indicative of ego-transcendence as I initially surmised. Overall, I will explore some of the similarities and differences between rational awareness of the limits of representational thought and genuine postsymbolic knowing. I will present the research territory with a linear and a non-linear model of human development. Both models can accommodate both Eastern and Western self theories including ego development theory and Alexander's levels of mind. Next, I will outline an alternative developmental trajectory based on Alexander's notion of the shifts in the dominant mode of processing from personal–verbal–discursive to transpersonal–postsymbolic. Then, I will present ego development theory as I conceive of it now and outline the important characteristics of the highest stage (Cook-Greuter, 1999). Finally, I will consider the question of whether and in what way the Unitive ego stage is related to higher consciousness and introduce two testable propositions to clarify the issue.     

迎接生物学世纪的曙光

现代生物工程技术是以基因工程、细胞工程、发酵工程酶工程为主体的高新技术。生产工程产业主要包括生物工程药业和生物工程农业两个重要部分。生物工程产业化都需要经过研究、开发、产业化和商业化四个步骤。生物工程产业发展经过了生物工程技术的突破阶段、完善和产业化的开始阶段、大规模产业化的开始阶段、大规模产业化的成熟阶段。其中第三阶段对我国的生物工程产业来说是为关键的。知识产权机会、商业机会为这个阶段我国生物工     

Extending Standard Models of ZFC to Models of Nonstandard Set Theories

We study those models of ZFCwhich are embeddable, as the class of all standard sets, in a model of internal set theory >ISTor models of some other nonstandard set theories. This revised version was published online in June 2006 with corrections to the Cover Date.     

A multitrait-multimethod model with minimal assumptions

A new model of confirmatory factor analysis (CFA) for multitrait-multimethod (MTMM) data sets is presented. It is shown that this model can be defined by only three assumptions in the framework of classical psychometric test theory (CTT). All other properties of the model, particularly the uncorrelated-ness of the trait with the method factors are logical consequences of the definition of the model. In the model proposed there are as many trait factors as different traits considered, but the number of method factors is one fewer than the number of methods included in an MTMM study. The covariance structure implied by this model is derived, and it is shown that this model is identified even under conditions under which other CFA-MTMM models are not. The model is illustrated by two empirical applications. Furthermore, its advantages and limitations are discussed with respect to previously developed CFA models for MTMM data.     

The Failure to Use Gender Information in Parsing: A Comment on van Berkum, Brown, and Hagoort (1999)

We critically review the empirical evidence published by van Berkum, Brown, and Hagoort (1999a, b) against syntax-first models of sentence parsing. According to van Berkum et al., discourse factors and word gender information are used instantaneously to guide the parser. First, we note that the density of the experimental trials (relative to fillers) and the slow presentation rate of the van Berkum et al. design seem likely to have elicited the use of tactics involving rapid reanalysis of the material. Second, we present new data from a questionnaire study showing that the grammatical gender information of a relative pronoun in Dutch is often completely ignored, even during the wrap-up phase at the end of the sentence.     

Decomposition,Interdependence and Precision in Multiattribute Utility Measurements

Traditionally, parameters of multiattribute utility models, representing a decision maker's preference judgements, are treated deterministically. This may be unrealistic, because assessment of such parameters is potentially fraught with imprecisions and errors. We thus treat such parameters as stochastic and investigate how their associated imprecision/errors are propagated in an additive multiattribute utility function in terms of the aggregate variance. Both a no information and a rank order case regarding the attribute weights are considered, assuming a uniform distribution over the feasible region of attribute weights constrained by the respective information assumption. In general, as the number of attributes increases, the variance of the aggregate utility in both cases decreases and approaches the same limit, which depends only on the variances as well as the correlations among the single-attribute utilities. However, the marginal change in aggregate utility variance decreases rather rapidly and hence decomposition as a variance reduction mechanism is generally useful but becomes relatively ineffective if the number of attributes exceed about 10. Moreover, it was found that utilities which are positively correlated increase the aggregate utility variance, hence every effort should be made to avoid positive correlations between the single-attribute utilities. We also provide guidelines for determining under what condition and to what extent a decision maker should decompose to obtain an aggregate utility variance that is smaller than that of holistic assessments. Extensions of the current model and empirical research to support some of our behavioural assumptions are discussed. © 1997 John Wiley & Sons, Ltd.     

On Stage with Gunk

A structure is temporally gunky just in case all of its temporal parts have proper temporal parts. Joshua Stuchlik [2003] objects to the stage theory of persistence from temporal gunk by arguing that the former requires instantaneous entities while the latter precludes them. It is argued here that stage theory can accommodate temporal gunk by invoking short-lived persisting stages. However, a new and more serious problem for stage theory is not far to seek. The short-lived stages that are needed to accommodate gunk accord with stage theory only if they are appropriately qualitatively static. The problem is that, unless stage theory abandons much of its dialectical force, some of the required stages fail this condition. Thus, Stuchlik is right that gunk shows a large class of worlds not to be stages, but wrong about which worlds these are.     

Information matrix estimation procedures for cognitive diagnostic models

Two new methods to estimate the asymptotic covariance matrix for marginal maximum likelihood estimation of cognitive diagnosis models (CDMs), the inverse of the observed information matrix and the sandwich-type estimator, are introduced. Unlike several previous covariance matrix estimators, the new methods take into account both the item and structural parameters. The relationships between the observed information matrix, the empirical cross-product information matrix, the sandwich-type covariance matrix and the two approaches proposed by de la Torre (2009, J. Educ. Behav. Stat., 34, 115) are discussed. Simulation results show that, for a correctly specified CDM and Q-matrix or with a slightly misspecified probability model, the observed information matrix and the sandwich-type covariance matrix exhibit good performance with respect to providing consistent standard errors of item parameter estimates. However, with substantial model misspecification only the sandwich-type covariance matrix exhibits robust performance.     

Openness to Experience Enhances Creativity: The Mediating Role of Intrinsic Motivation and the Creative Process Engagement

Studies indicate that there is a positive relationship between openness to experience and creativity. However, relatively little attention has been given to the mechanism of this relationship. On the basis of previous findings, we hypothesized a conceptual model and tested the mediating role of intrinsic motivation and the creative process engagement in the relationship between openness to experience and creativity. One hundred and ninety‐eight undergraduates in Malaysia participated in the study and completed an online measure of openness to new experience, creativity, intrinsic motivation, and the creative process engagement. Consistent with the hypothesis, people who scored high on openness reported high intrinsic motivation. The high motivation enhanced engagement in creativity‐related activities, which in turn, improved self‐rated creativity. The findings not only shed light on mechanisms that underlie in the openness‐creativity linkage but they also highlight the importance of intrinsic motivation and creative process engagement in the linkage. Together, the study extends the effect of personality trait on creativity and offers a new direction for future studies.