Is Religious Coping Associated with Cumulative Health Risk? An Examination of Religious Coping Styles and Health Behavior Patterns in Alzheimer’s Dementia Caregivers

The current study explored the relationship between religious coping and cumulative health risk associated with health behavior patterns in a sample of 256 Latina and Caucasian female caregivers of elderly relatives with dementia. Primary analyses examined the relationship between religious coping (both positive and negative) and an overall index of cumulative health risk. Secondary analyses were conducted on the individual health behaviors subsumed in the broader index. Findings revealed that negative religious coping was significantly associated with increased cumulative health risk. Positive religious coping was predictive of decreased cumulative health risk among Latina caregivers but not among Caucasians. Negative religious coping was significantly associated with both an increased likelihood for weight gain and increased dietary restriction. Positive religious coping was associated with decreased likelihood for weight gain in Latinas. Implications for both caregivers and clinicians are discussed.     

A processing fluency explanation of bias against migrants

This research investigated whether people are biased against migrants partly because they find migrants more difficult to cognitively process than nonmigrants. In Study 1, 181 undergraduate students evaluated migrant and nonmigrant members of two minimal groups and reported the difficulty that they experienced in thinking about each type of target. Participants rated migrants less positively than nonmigrants, and difficulty ratings partially mediated this effect. Study 2 (N = 191) replicated these findings and demonstrated similar findings for individuals who had been excluded from minimal groups. This evidence implies that migrant bias can be explained partly in terms of the difficulty that people have in processing information about migrants, and that it is related to migrants’ exclusion from their original group.     

The development of spatial frequency biases in face recognition

Previous research has suggested that a mid-band of spatial frequencies is critical to face recognition in adults, but few studies have explored the development of this bias in children. We present a paradigm adapted from the adult literature to test spatial frequency biases throughout development. Faces were presented on a screen with particular spatial frequencies blocked out by noise masks. A mid-band bias was found in adults and 9- and 10-year-olds for upright faces but not for inverted faces, suggesting a face-sensitive effect. However, 7- and 8-year-olds did not demonstrate the mid-band bias for upright faces but rather processed upright and inverted faces similarly. This suggests that specialization toward the mid-band for upright face recognition develops gradually during childhood and may relate to an advanced level of face expertise.     

Does group efficacy increase group identification? Resolving their paradoxical relationship

Although group identification and group efficacy are both important predictors of collective action against collective disadvantage, there is mixed evidence for their (causal) relationship. Meta-analytic and correlational evidence suggests an overall positive relationship that has been interpreted as consistent with the idea that group identification leads to group efficacy. However, experimental evidence has not supported this causal relationship. To resolve this paradox, we show in an experiment that it is group efficacy that leads to increased group identification because group efficacy puts individuals' identity into action. We discuss the theoretical and practical implications of these findings.     

Leader power and leader self-serving behavior: The role of effective leadership beliefs and performance information

In this research we investigated the role played by leader power in determining leader self-serving behavior. Based on an integration of insights from research on the determinants of leader behavior and the power-approach theory, we hypothesized that with higher leader power leader self-serving behavior is determined more by internal states like effective leadership beliefs and less by external cues like performance information. We found support for this prediction across two experiments and one organizational survey assessing leader behavior along a self-serving–group-serving continuum. Overall, these results suggest that whether leaders benefit the collective or act self-servingly is not a function of their power per se but rather that leader power determines the extent to which internal belief states or external cues influence leader self- versus group-serving behavior.     

Bifactor models and rotations: exploring the extent to which multidimensional data yield univocal scale scores

The application of psychological measures often results in item response data that arguably are consistent with both unidimensional (a single common factor) and multidimensional latent structures (typically caused by parcels of items that tap similar content domains). As such, structural ambiguity leads to seemingly endless "confirmatory" factor analytic studies in which the research question is whether scale scores can be interpreted as reflecting variation on a single trait. An alternative to the more commonly observed unidimensional, correlated traits, or second-order representations of a measure's latent structure is a bifactor model. Bifactor structures, however, are not well understood in the personality assessment community and thus rarely are applied. To address this, herein we (a) describe issues that arise in conceptualizing and modeling multidimensionality, (b) describe exploratory (including Schmid-Leiman [Schmid & Leiman, 1957] and target bifactor rotations) and confirmatory bifactor modeling, (c) differentiate between bifactor and second-order models, and (d) suggest contexts where bifactor analysis is particularly valuable (e.g., for evaluating the plausibility of subscales, determining the extent to which scores reflect a single variable even when the data are multidimensional, and evaluating the feasibility of applying a unidimensional item response theory (IRT) measurement model). We emphasize that the determination of dimensionality is a related but distinct question from either determining the extent to which scores reflect a single individual difference variable or determining the effect of multidimensionality on IRT item parameter estimates. Indeed, we suggest that in many contexts, multidimensional data can yield interpretable scale scores and be appropriately fitted to unidimensional IRT models.     

The central tendency of a social group can affect ratings of its intragroup variability in the absence of social identity concerns

People report less variability within in-groups than within out-groups when they make their ratings on traits on which the in-group has a higher central tendency than the out-group. [Simon, 1992a] and [Simon, 1992b] proposed that this effect is motivated by the need to protect a positive social identity. The present research tested the necessity of the social identity motive by using participants who were not members of any of the target groups that they judged. In Study 1 (N = 60), psychology undergraduate students reported significantly less intragroup variability on positive traits among a group of fashion designers that won a fashion competition than among a group that lost. Study 2 (N = 75) found a reverse effect on negative traits and confirmed the mediating role of perceived central tendency. These results demonstrate that the social identity motive is not necessary to explain the effect of central tendency on ratings of intragroup variability, and that the effect is more general than previously reported.     

Social status as a cue for tacit coordination

The present paper investigates how and when social status may serve as a cue for tacit coordination. In three experimental studies, we demonstrate that low status individuals are inclined to defer to the preferences of high status individuals, thereby facilitating coordination success. Furthermore, we investigate the boundary conditions of this effect. More specifically, we show that social status only facilitates coordination success when the people involved have asymmetric (or conflicting) preferences (Study 2), and when there is a clear social hierarchy (Study 3). In the general discussion, we relate these findings to earlier research on dominance hierarchies, social power, deference and perspective-taking and we provide suggestions for future research.     

What is learned when concept learning fails?—A theory of restricted-domain relational learning

Two matching-to-sample (MTS) and four same/different (S/D) experiments employed tests to distinguish between item-specific learning and relational learning. One MTS experiment showed item-specific learning when concept learning failed (i.e., no novel-stimulus transfer). Another MTS experiment showed item-specific learning when pigeons’ novel-stimulus transfer decreased because they chose familiar training comparisons instead of matching novel comparisons. In 8-item and 3-item S/D tasks, pigeons and monkeys were accurate with unfamiliar training-stimulus pairings, stimulus inversions, and distorted stimuli, suggesting relational learning within a domain restricted to the training stimuli (i.e., no novel-stimulus transfer). In 32-item S/D tasks, pigeons with previous 8-item training showed less transfer than those without prior training, suggesting a carryover of restricted-domain relational learning. Pigeons shifted from 1024-item to 8-item S/D tasks showed reinstatement of restricted-domain relational learning. These findings are important in specifying which types of learning occur in these tasks, showing that subjects failing novel-stimulus transfer are not required to switch from item-specific to relational learning as a training set is expanded, and demonstrating that concept learning failure is not proof of item-specific learning.     

Optimization of Blocked Designs in fMRI Studies

Blocked designs in functional magnetic resonance imaging (fMRI) are useful to localize functional brain areas. A blocked design consists of different blocks of trials of the same stimulus type and is characterized by three factors: the length of blocks, i.e., number of trials per blocks, the ordering of task and rest blocks, and the time between trials within one block. Optimal design theory was applied to find the optimal combination of these three design factors. Furthermore, different error structures were used within a general linear model for the analysis of fMRI data, and the maximin criterion was applied to find designs which are robust against misspecification of model parameters.