Self-stereotyping: the central role of an ingroup threatening identity

Self-stereotyping is a process by which people belonging to a stigmatized social group tend to describe themselves more with stereotypical traits as compared with traits irrelevant to the ingroup stereotype. The present work analyzes why especially members of low-status groups are more inclined to self-stereotype compared to members of high-status groups. We tested the hypothesis that belonging to a low-, rather than a high-status group, makes low-status members feel more threatened and motivates them to protect their self-perception by increasing their similarity with the ingroup. Specifically, we investigated the effects of an experimental manipulation that was conceived to either threaten or protect the natural group membership of participants from either a low- or a high-status group on the level of self-stereotyping. The findings supported the idea that only low-status group members protected themselves when their group identity was threatened through increased self-stereotyping.     

The latent variable approach as applied to transitive reasoning

We discuss the limitations of hypothesis testing using (quasi-) experiments in the study of cognitive development and suggest latent variable modeling as a viable alternative to experimentation. Latent variable models allow testing a theory as a whole, incorporating individual differences with respect to developmental processes or abilities in the model. Experiments, in contrast, aim at testing hypotheses that refer to a specific part of a theory; also they ignore individual differences or model the individual differences using age group as a proxy for developmental stage. Drawing on a sample of 409 5–13-year olds, we demonstrate the advantages of latent variable models in the area of transitive reasoning. A comparison of three models showed that the latent variable model that represented fuzzy trace theory had a better fit than the models representing Piaget's theory or linear ordering theory.     

Segmentation of Worked Examples: Effects on Cognitive Load and Learning

Two ways to improve worked examples are investigated: presenting them in a segmented format (i.e., in pieces separated by blank lines) and instructing students to segment them actively (i.e., students must divide the examples in pieces). Segmented examples are expected to support learning because they show which information elements belong together. Learners might also be encouraged to think about which information elements belong together when they are instructed to actively segment, but on the negative side, this is an additional task that might impose extra cognitive load without facilitating learning. Results showed that students in the actively segmenting condition invested more effort in learning than students in the other conditions without performing better. Furthermore, studying segmented examples required less effort to achieve equal learning outcomes than studying nonsegmented ones. So, presenting learners with segmented examples improved the efficiency of the learning process, whereas instructing them to actively segment decreased this efficiency. Copyright © 2011 John Wiley & Sons, Ltd.     

Visual rivalry without spatial conflict

Visual rivalry has been extensively characterized in the literature. It is thought to require spatial conflict between overlapping visual presentations, even in studies that have found nonspatial (i.e., nonretinal) influences on rivalry. Unexpectedly, we identified visual rivalry in the complete absence of spatial conflict. Participants experienced visual rivalry when we placed a nonambiguous motion stimulus in a nonspatial (in our case, object-based) reference frame. Moreover, a stimulus that was displaced within a nonspatial reference frame did not induce rivalry despite the presence of spatial conflict. This finding shows that nonspatial, object-based processing can overrule retinotopic processing and prevent rivalry from occurring when a perceived stimulus exists unambiguously in an object-based reference frame. Our results identify a potent high-level conflict-resolution stage independent of low-level spatial visual conflict. This independence of spatial overlap provides an advantage to the visual system, allowing conflict resolution when an object is nonstationary on the retina (e.g., during frequently occurring eye movements).     

Clusterwise simultaneous component analysis for analyzing structural differences in multivariate multiblock data

Many studies yield multivariate multiblock data, that is, multiple data blocks that all involve the same set of variables (e.g., the scores of different groups of subjects on the same set of variables). The question then rises whether the same processes underlie the different data blocks. To explore the structure of such multivariate multiblock data, component analysis can be very useful. Specifically, 2 approaches are often applied: principal component analysis (PCA) on each data block separately and different variants of simultaneous component analysis (SCA) on all data blocks simultaneously. The PCA approach yields a different loading matrix for each data block and is thus not useful for discovering structural similarities. The SCA approach may fail to yield insight into structural differences, since the obtained loading matrix is identical for all data blocks. We introduce a new generic modeling strategy, called clusterwise SCA, that comprises the separate PCA approach and SCA as special cases. The key idea behind clusterwise SCA is that the data blocks form a few clusters, where data blocks that belong to the same cluster are modeled with SCA and thus have the same structure, and different clusters have different underlying structures. In this article, we use the SCA variant that imposes equal average cross-products constraints (ECP). An algorithm for fitting clusterwise SCA-ECP solutions is proposed and evaluated in a simulation study. Finally, the usefulness of clusterwise SCA is illustrated by empirical examples from eating disorder research and social psychology.     

Curved movement paths and the Hering illusion: Positions or directions?

When trying to move in a straight line to a target, participants produce movement paths that are slightly (but systematically) curved. Is this because perceived space is curved, or because the direction to the target is systematically misjudged? We used a simple model to investigate whether continuous use of an incorrect judgement of the direction to the target could explain the curvature. The model predicted the asymmetries that were found experimentally when moving across a background of radiating lines (the Hering illusion). The magnitude of the curvature in participants' movements was correlated with their sensitivity to the illusion when judging a moving dot's path, but not with their sensitivity when judging the straightness of a line. We conclude that a misjudgement of direction causes participants to perceive a straight path of a moving dot as curved and to produce curved movement paths.     

Organizational change in health care: A strategic perspective please!

Abstract

Commentary on “Making Sense of “Resistance”: Responses to Organizational Change in a Private Nursing Home for the Elderly” by C. Meston and N. King     

Control Options in Managing Strategic Decision-making Processes

Abstract

Top decision making processes are generally depicted as chaotic, unstructured, incremental or spasmodic, and protracted. In this article it is shown, based on data from 25 strategic decision processes from 12 organizations in three industry sectors, that, within certain limits, there certainly are control options in strategic decision-making processes. In addition, their use tums out to be profitable. The analyses of patterns in the use of control dimensions in the 25 cases leads to a typology of four types of decision models or strategies: the neo-rational model (n = 3), the bureaucratic model (n = 4), the arena model (n = 8) and the open-end model (n = 10). This empirical typology confirms earlier typologies based on literature.

The use of control strategies is shown to vary across industry sectors and topics of decisions and have adifferential effect. It is concluded that context and content variables have either a selection effect (some strategies do not occur in some sectors) or a optimization effect (some strategies are more effective than others in a given context).     

Unsafe Assertions

John Turri has recently provided two problem cases for the knowledge account of assertion (KAA) to argue for the express knowledge account of assertion (EKAA). We defend KAA by explaining away the intuitions about the problem cases and by showing that our explanation is theoretically superior to EKAA.