Crossed categorization in common ingroup contexts

In three experiments, the authors tested the hypothesis that a common ingroup context would moderate evaluations of crossed category targets. In Experiment 1, the typical additive pattern of evaluation across artificial crossed category groups became a social inclusion pattern in a common ingroup context. In Experiment 2, the authors manipulated the importance of real crossed category targets. When the crossed groups were of low importance, the effects of imposing a common ingroup replicated those observed in Experiment 1. For important crossed groups, however, the additive pattern remained. In Experiment 3, the authors measured perceived importance of the crossed groups to social identity prior to introducing a common ingroup context. The effects of a common categorization on evaluations were again moderated by perceived importance. These findings are discussed in the context of integrating crossed categorization and common ingroup identity models of multiple categorization.     

Crossed categorization effects on the formation of illusory correlations

This study investigates how stereotypes are formed and whether stereotype formation is reduced by the prevalence of multiple categorizations. Illusory correlations between the desirability of behaviours and two dimensions of social categorization, both containing a majority and a minority category, were assessed in single categorization and crossed categorization conditions. In the single categorization conditions, the usual illusory correlation in favour of the majority category was obtained. In the crossed condition, the combination of the two majority categories was positively discriminated from the remaining three combinations, while no differences were found among the latter. A source‐monitoring analysis of assignment frequencies replicated earlier findings that illusory correlations are due to an evaluative guessing bias, rather than to enhanced memory for individual instances of behaviour. The results show inconsistencies with a distinctiveness‐based and a social categorization account of illusory correlations, but they can be explained in terms of information loss. Copyright © 2001 John Wiley & Sons, Ltd.     

Crossed categorization versus simple categorization and intergroup evaluations: a meta‐analysis

Crossed categorization typically refers to the crossing of two dichotomous social dimensions, resulting in four groups (double‐ingroup, two mixed groups, and double‐outgroup). This paper reports the results of a meta‐analysis comparing the effects of crossed categorization on intergroup evaluations with the effects of simple categorization on intergroup evaluations. The crossed categorization paradigm is shown to increase or decrease ingroup bias, depending on how ingroup bias is defined in the crossed categorization paradigm. Moreover, just as in simple categorization, ingroup bias in crossed categorization is shown to be greater when the proportionate size of the ingroup is smaller. However, contrary to the patterns established in simple categorization, the reality of the group categorizations does not increase ingroup bias in crossed categorization. We discuss the implications of these results for future research on intergroup evaluations. Copyright © 2001 John Wiley & Sons, Ltd.     

Crossed categorization outside the lab: Findings from a factorial survey experiment

Crossed categorization studies investigate intergroup attitudes in situations when two categorization dimensions are simultaneously salient, often looking at artificial groups in laboratory settings. The current study tests (a) patterns of evaluation in crossed categorization scenarios when more than two real-life categorization dimensions are crossed, and (b) the moderating role of identity importance. We conduct a factorial survey experiment with a diverse sample (N = 524), crossing eight categorization dimensions. The results provide strong support for the additive pattern of crossed categorization, challenging the view that with an increased number of categories category-based information processing will not be used. Identity importance predicts the strength of intergroup bias only on the dimension of religion, which was the dominant dimension in this sample. The study contributes to multiple and crossed categorization literature by testing some of its key assumptions using a design that increases the ecological validity of the findings.     

A hybrid model of categorization

Category learning is often modeled as either an exemplar-based or a rule-based process. This paper shows that both strategies can be combined in a cognitive architecture that was developed to model other task domains. Variations on the exemplar-based random walk (EBRW) model of Nosofsky and Palmeri (1997b) and the rule-plus-exception (RULEX) rule-based model of Nosofsky, Palmeri, and McKinley (1994) were implemented in the ACT-R cognitive architecture. The architecture allows the two strategies to be mixed to produce classification behavior. The combined system reproduces latency, learning, and generalization data from three category-learning experiments--Nosofsky and Palmeri (1997b), Nosofsky et al., and Erickson and Kruschke (1998). It is concluded that EBRW and ACT-R have different but equivalent means of incorporating similarity and practice. In addition, ACT-R brings a theory of strategy selection that enables the exemplar and the rule-based strategies to be mixed.     

Generalizing a neuropsychological model of visual categorization to auditory categorization of vowels

Twelve male listeners categorized 54 synthetic vowel stimuli that varied in second and third formant frequency on a Bark scale into the American English vowel categories [see text]. A neuropsychologically plausible model of categorization in the visual domain, the Striatal Pattern Classifier (SPC; Ashby & Waldron, 1999), is generalized to the auditory domain and applied separately to the data from each observer. Performance of the SPC is compared with that of the successful Normal A Posteriori Probability model (NAPP; Nearey, 1990; Nearey & Hogan, 1986) of auditory categorization. A version of the SPC that assumed piece-wise linear response region partitions provided a better account of the data than the SPC that assumed linear partitions, and was indistinguishable from a version that assumed quadratic response region partitions. A version of the NAPP model that assumed nonlinear response regions was superior to the NAPP model with linear partitions. The best fitting SPC provided a good account of each observer's data but was outperformed by the best fitting NAPP model. Implications for bridging the gap between the domains of visual and auditory categorization are discussed.     

Moving beyond categorization to understand affective influences on real world health decisions

This paper provides an overview of affect and health decision‐making research, with a focus on identifying gaps, opportunities, and challenges to guide future research. We begin by defining common categorical distinctions of affective processes that influence health decisions: integral (i.e., related to the decision) and incidental (i.e., normatively unrelated to the decision) influences, and current (experienced in the moment) and anticipated (“cognitive representations” of future affect) affect. We then summarize key discoveries within the most common categories of affective influences on health decision making: current integral affect, current incidental affect, and anticipated integral affect. Finally, we highlight research gaps, challenges, and opportunities for future directions for research aimed at translating affective and decision science theory to improve our understanding of, and ability to intervene upon, health decision making.     

Crossed categorization and stereotyping: Structural analyses, effect patterns, and dissociative effects of context relevance

Based on the “Who said what?” paradigm, a new method is proposed for investigating social categorization and non-evaluative stereotype application in crossed categorization. The method is applied in 5 studies that manipulated relative context relevance of crossed age and gender categories. Social categorization is characterized by 2 indices: Relative subgroup memory assesses the amount of subgroup formation represented in memory, and relative category dominance the relative weight of each dimension of categorization. Both indices were affected by context relevance. There was strong evidence for social categorization at the subgroup level, whereas stereotype application followed a simple pattern of category dominance, in which only the context-relevant dimension exerted an effect. The results bear on current models of category-based impression formation and intergroup perception, and on category-activation cum stereotype-inhibition models.     

A probabilistic threshold model: Analyzing semantic categorization data with the Rasch model

According to the Threshold Theory (Hampton, 1995, 2007) semantic categorization decisions come about through the placement of a threshold criterion along a dimension that represents items' similarity to the category representation. The adequacy of this theory is assessed by applying a formalization of the theory, known as the Rasch model (Rasch, 1960; Thissen & Steinberg, 1986), to categorization data for eight natural language categories and subjecting it to a formal test. In validating the model special care is given to its ability to account for inter- and intra-individual differences in categorization and their relationship with item typicality. Extensions of the Rasch model that can be used to uncover the nature of category representations and the sources of categorization differences are discussed.     

A feedback model of perceptual learning and categorization

Top-down, feedback, influences are known to have significant effects on visual information processing. Such influences are also likely to affect perceptual learning. This paper employs a computational model of the cortical region inter-actions underlying visual perception to investigate possible influences of top-down information on learning. The results suggest that feedback could bias the way in which perceptual stimuli are categorized and could also facilitate the learning of subordinate level representations suitable for object identification and perceptual expertise.     

Thirty categorization results in search of a model

One category structure dominated in the shift toward exemplar-based theories of categorization. Given the theoretical burden on this category structure, the authors reanalyzed 30 of its uses over 20 years in 8 articles. The authors suggest 4 conclusions. (a) This category structure may encourage exemplar-memorization processes because of its poor structure, the learning difficulties it causes, and its small, memorizable exemplar sets. Its results may only generalize narrowly. (b) Exemplar models have an advantage in fitting these 30 data sets only because they reproduce a performance advantage for training items. Other models fit equally well if granted this capacity. (c) A simpler exemplar process than assumed by exemplar models suffices to explain these data sets. (d) An important qualitative result predicted by exemplar theory is not found overall and possibly should not even be expected. The authors conclude that the data produced by this category structure do not clearly support exemplar theory.     

Induction and categorization in young children: a similarity-based model

The authors present a similarity-based model of induction and categorization in young children (SINC). The model suggests that (a). linguistic labels contribute to the perceived similarity of compared entities and (b). categorization and induction are a function of similarity computed over perceptual information and linguistic labels. The model also predicts young children's similarity judgment, induction, and categorization performance under different stimuli and task conditions. Predictions of the model were tested and confirmed in 6 experiments, in which 4- to 5-year-olds performed similarity judgment, induction, and categorization tasks using artificial and real labels (Experiments 1-4) and recognition memory tasks (Experiments 5A and 5B). Results corroborate the similarity-based account of young children's induction and categorization, and they support both qualitative and quantitative predictions of the model.     

Visuospatial attention: beyond a spotlight model

Much of the research in visual attention has been driven by the spotlight metaphor. This metaphor has been useful over many years for generating experimental questions in attention research. However, theories and models of visual selection have reached such a level of complexity that debate now centers around more specific questions about the nature of attention. In this review, the general question "Is visual attention like a spotlight?" is broken down into seven specific questions concerning the nature of visual attention, and the evidence relevant to each is examined. The answers to these specific questions provide important clues about why visual selection is necessary and what purpose attention plays in visual cognition.     

Conflict of experience: A categorization model for studying verbal interaction

In order to describe communication between people, some new concepts are introduced. These are derived from a model using 'conflict of experience' as its main theoretical reference. Such conflict presumably occurs when different interpretations of "the same" reality confronts each other. How such a conflict is handled is seen as depending upon factors in the situation, and on motive states of the person. A dialogue from Ibsen's play "John Gabriel Borkman" is analyzed in terms of the model in order to demonstrate its possible fruitfulness for describing and understanding verbal interaction. Psychotherapeutic concepts are discussed in relation to the theoretical points of veiw presented.     

In search of abstraction: The varying abstraction model of categorization

A longstanding debate in the categorization literature concerns representational abstraction. Generally, when exemplar models, which assume no abstraction, have been contrasted with prototype models, which assume total abstraction, the former models have been found to be superior to the latter. Although these findings may rule out the idea that total abstraction takes place during category learning and instead suggest that no abstraction is involved, the idea of abstraction retains considerable intuitive appeal. In this article, we propose the varying abstraction model of categorization (VAM), which investigates the possibility that partial abstraction may play a role in category learning. We apply the VAM to four previously published data sets that have been used to argue that no abstraction is involved. Contrary to the previous findings, our results provide support for the idea that some form of partial abstraction can be used in people's category representations.     

A crossed random effects diffusion model for speeded semantic categorization decisions

Choice reaction times (RTs) are often used as a proxy measure of typicality in semantic categorization studies. However, other item properties have been linked to choice RTs as well. We apply a tailored process model of choice RT to a speeded semantic categorization task in order to deconfound different sources of variability in RT. Our model is based on a diffusion model of choice RT, extended to include crossed random effects (of items and participants). This model retains the interesting process interpretation of the diffusion model’s parameters, but it can be applied to choice RTs even in the case where there are few or no repeated measurements of each participant-item combination. Different aspects of the response process are then linked to different types of item properties. A typicality measure turns out to predict the rate of information uptake, while a lexicographic measure predicts the stimulus encoding time. Accessibility measures cannot reliably predict any component of the decision process.     

Modeling rhythmic interlimb coordination: beyond the Haken-Kelso-Bunz model.

Although the Haken-Kelso-Bunz (HKB) model was originally formulated to account for phase transitions in bimanual movements, it evolved, through experimentation and conceptual elaboration, into a fundamental formal construct for the experimental study of rhythmically coordinated movements in general. The model consists of two levels of formalization: a potential defining the stability properties of relative phase and a system of coupled limit cycle oscillators defining the individual limb movements and their interactions. Whereas the empirical validity of the potential is well established, the validity of the formalization in terms of coupled oscillators is questionable, both with regard to the assumption that individual limb movements are limit cycle oscillators with (only) two active degrees of freedom and with regard to the postulated coupling. To remedy these limitations a more elaborate system of coupled oscillators is outlined, comprising two coupled limit cycle oscillators at the neural level, each of which is coupled to a linearly damped oscillator, representing the end-effectors.     

Large-scale brain systems in ADHD: beyond the prefrontal-striatal model

Attention-deficit/hyperactivity disorder (ADHD) has long been thought to reflect dysfunction of prefrontal-striatal circuitry, with involvement of other circuits largely ignored. Recent advances in systems neuroscience-based approaches to brain dysfunction have facilitated the development of models of ADHD pathophysiology that encompass a number of different large-scale resting-state networks. Here we review progress in delineating large-scale neural systems and illustrate their relevance to ADHD. We relate frontoparietal, dorsal attentional, motor, visual and default networks to the ADHD functional and structural literature. Insights emerging from mapping intrinsic brain connectivity networks provide a potentially mechanistic framework for an understanding of aspects of ADHD such as neuropsychological and behavioral inconsistency, and the possible role of primary visual cortex in attentional dysfunction in the disorder.     

Crossed aphasia in multilinguals

Reports of crossed aphasia in single case studies of bilinguals have led to incidence studies of crossed aphasia among larger groups of stroke patients. Among a few others, studies carried out in India (K. R. Nair & Virmani, 1973 Indian Journal of Medical Research, 61, 9; P. Chary, 1986, In Language processing in bilinguals: Psycholinguistic and neuropsychological perspectives) have lent support to the notion of a higher incidence of crossed aphasia among bi- and multilinguals and form major citations in support of the hypothesis that bilingualism could lead to a greater bilateral cerebral representation of languages. This paper reports on the incidence of crossed aphasia in a large unselected population of stroke patients in monolingual and multilingual speakers of South India, which is in agreement with the previous reports of a higher incidence of crossed aphasia in multilinguals. However, along with this high incidence of crossed aphasia a low incidence of sinistrality was also seen. In order to confirm these findings and their significance two further studies were carried out-an incidence study of crossed aphasia in a population of mono- and multilingual aphasics and an incidence study of hand dominance in a normal population. The results and their significance to the issue of crossed aphasia in multilinguals are presented.