E pluribus unum: Dual identity and minority group members' motivation to engage in contact, as well as social change

Recent work on social change illustrates that disadvantaged-group members are sometimes less influenced by prejudice-reduction strategies than are advantaged-group members, and interventions to improve intergroup relations (e.g., commonality) can sometimes have the unintended consequence of reducing social-change motivations among members of disadvantaged groups. Focusing on disadvantaged groups' (i.e., racial/ethnic minorities) orientations toward advantaged groups, the present research experimentally investigated the potential of dual, relative to common, identity to produce greater willingness to engage in contact, while maintaining social change motivation. Relative to common identity, dual identity produced not only greater willingness to engage in contact, which was mediated by perceptions of shared values, but also greater social change motivation, mediated by decreased optimism about future relations. Thus, for dual identity, enhancing approach motivation (willingness for contact) does not necessarily undermine social change motivation. Implications for intergroup relations and more broadly social change are discussed.     

When two become one: Temporally dynamic integration of the face and voice

In everyday interactions with others, people have to deal with the sight of a face and sound of a voice at the same time. How the perceptual system brings this information together over hundreds of milliseconds to perceive others remains unclear. In 2 studies, we investigated how facial and vocal cues are integrated during real-time social categorization by recording participants' hand movements (via the streaming x, y coordinates of the computer mouse) en route to “male” and “female” responses on the screen. Participants were presented with male and female faces that were accompanied by a same-sex voice morphed to be either sex-typical (e.g., masculinized male voice) or sex-atypical (i.e., feminized male voice). Before settling into ultimate sex categorizations of the face, the simultaneous processing of a sex-atypical voice led the hand to be continuously attracted to the opposite sex-category response across construal. This is evidence that ongoing results from voice perception continuously influence face perception across processing. Thus, social categorization involves dynamic updates of gradual integration of the face and voice.     

At face value: Categorization goals modulate vigilance for angry faces

The present research demonstrates that the attention bias to angry faces is modulated by how people categorize these faces. Since facial expressions contain psychologically meaningful information for social categorizations (i.e., gender, personality) but not for non-social categorizations (i.e., eye-color), angry facial expression should especially capture attention during social categorization tasks. Indeed, in three studies, participants were slower to name the gender of angry compared to happy or neutral faces, but not their color (blue or green; Study 1) or eye-color (blue or brown; Study 2). Furthermore, when different eye-colors were linked to a personality trait (introversion, extraversion) versus sensitivity to light frequencies (high, low), angry faces only slowed down categorizations when eye-color was indicative of a social characteristic (Study 3). Thus, vigilance for angry facial expressions is contingent on people's categorization goals, supporting the perspective that even basic attentional processes are moderated by social influences.     

Influence of IQ in interpreting MMSE scores in patients with multiple sclerosis

The Mini-Mental State Examination (MMSE) and Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) were administered to 46 outpatients diagnosed with multiple sclerosis (MS). MMSE total raw score was significantly and positively correlated with all WAIS-IV indexes, even when controlling for the effects of participant educational level, with the strongest relationship being with Full Scale IQ. These results suggest that clinicians consider patient intellectual functioning, in particular Full Scale IQ, when diagnosing neurocognitive impairment based on screening with the MMSE in individuals with MS.     

Learning from parents' stories about what works in early intervention

Using a multiple case study approach, this ethnography examined the experiences of parents of children deemed at risk for developmental delays or disabilities who had received early intervention (EI) services (birth to age 3 years) in a large urban location in Western Canada. Participants (11 adult parents and 7 children) were drawn from six families. Methods of data collection included focus groups (FG), face‐to‐face interviews and file reviews. Member check and expert reviews were conducted throughout data collection and data analyses as part of the validation process in this ethnography. Qualitative content analyses followed by thematic analyses highlighted the implementation of family‐centred practices (FCP) as a main theme. Parents identified how EI professionals using FCP embraced collaborative practices. FCP resulted in parents leading the EI process for their children. More specifically, EI professionals shared strategies and information to support parents in gaining a deeper understanding of their children's individual developmental characteristics. Parents expressed how empowering this level of understanding was for them as they learned to articulate what were their children's needs for developmental, health and educational services. Recommendations for future research include inquiring about parents' experiences for families of diverse constellations and/or residing in smaller urban or rural communities.     

Inference and coherence in causal-based artifact categorization

In four experiments, we tested conditions under which artifact concepts support inference and coherence in causal categorization. In all four experiments, participants categorized scenarios in which we systematically varied information about artifacts’ associated design history, physical structure, user intention, user action and functional outcome, and where each property could be specified as intact, compromised or not observed. Consistently across experiments, when participants received complete information (i.e., when all properties were observed), they categorized based on individual properties and did not show evidence of using coherence to categorize. In contrast, when the state of some property was not observed, participants gave evidence of using available information to infer the state of the unobserved property, which increased the value of the available information for categorization. Our data offers answers to longstanding questions regarding artifact categorization, such as whether there are underlying causal models for artifacts, which properties are part of them, whether design history is an artifact’s causal essence, and whether physical appearance or functional outcome is the most central artifact property.     

Incremental criterion prediction of personality facets over factors: Obtaining unbiased estimates and confidence intervals

Many researchers have argued that higher order models of personality such as the Five Factor Model are insufficient, and that facet-level analysis is required to better understand criteria such as well-being, job performance, and personality disorders. However, common methods in the extant literature used to estimate the incremental prediction of facets over factors have several shortcomings. This paper delineates these shortcomings by evaluating alternative methods using statistical theory, simulation, and an empirical example. We recommend using differences between Olkin–Pratt adjusted r-squared for factor versus facet regression models to estimate the incremental prediction of facets and present a method for obtaining confidence intervals for such estimates using double adjusted-r-squared bootstrapping. We also provide an R package that implements the proposed methods.     

The relationship between visual search and categorization of own- and other-age faces

Young adult participants are faster to detect young adult faces in crowds of infant and child faces than vice versa. These findings have been interpreted as evidence for more efficient attentional capture by own-age than other-age faces, but could alternatively reflect faster rejection of other-age than own-age distractors, consistent with the previously reported other-age categorization advantage: faster categorization of other-age than own-age faces. Participants searched for own-age faces in other-age backgrounds or vice versa. Extending the finding to different other-age groups, young adult participants were faster to detect young adult faces in both early adolescent (Experiment 1) and older adult backgrounds (Experiment 2). To investigate whether the own-age detection advantage could be explained by faster categorization and rejection of other-age background faces, participants in experiments 3 and 4 also completed an age categorization task. Relatively faster categorization of other-age faces was related to relatively faster search through other-age backgrounds on target absent trials but not target present trials. These results confirm that other-age faces are more quickly categorized and searched through and that categorization and search processes are related; however, this correlational approach could not confirm or reject the contribution of background face processing to the own-age detection advantage.     

Our Followers Are Lions,Theirs Are Sheep: How Social Identity Shapes Theories About Followership and Social Influence

Two studies examine how self‐categorization theory can be used to refine our understanding of people's implicit theories about followership and social influence. Results from Study 1 show that perceivers regard followers of a group they themselves identify strongly with (rather than not at all) to be more representative of the prototype of effective followers (displaying enthusiasm, industry, good citizenship) and to be less representative of the antiprototype of effective followers (displaying conformity, incompetence, and insubordination). Results are replicated in a second experiment in which we compare the views of those self‐categorizing as either Republican or Democrat responding to followers of the Republican and Democratic Party. Results of Study 2 replicate those of Study 1 and also reveal qualitative differences in the preferred influence strategy for dealing with followers. Specifically, respondents seek to engage in persuasion when trying to change the behavior of ingroup followers, while resorting to coercion when trying to change the behavior of outgroup followers. Our results are the first to provide evidence that perceivers' theories about what followers are like and how they are influenced most effectively are structured by perceivers' identification (and dis‐identification) with the particular groups that leaders are championing.     

State‐Trace Analysis: Dissociable Processes in a Connectionist Network?

Some argue the common practice of inferring multiple processes or systems from a dissociation is flawed (Dunn, 2003). One proposed solution is state‐trace analysis (Bamber, 1979), which involves plotting, across two or more conditions of interest, performance measured by either two dependent variables, or two conditions of the same dependent measure. The resulting analysis is considered to provide evidence that either (a) a single process underlies performance (one function is produced) or (b) there is evidence for more than one process (more than one function is produced). This article reports simulations using the simple recurrent network (SRN; Elman, 1990) in which changes to the learning rate produced state‐trace plots with multiple functions. We also report simulations using a single‐layer error‐correcting network that generate plots with a single function. We argue that the presence of different functions on a state‐trace plot does not necessarily support a dual‐system account, at least as typically defined (e.g. two separate autonomous systems competing to control responding); it can also indicate variation in a single parameter within theories generally considered to be single‐system accounts.