Human exploratory behavior in a “natural” versus a laboratory setting

Two groups of 30 Ss each viewed a series of nonrepresentational patterns varying in three physical parameters. For the “natural-setting” group the patterns were arranged in a loose-leaf binder and S, unaware that his responses were being recorded, viewed them “spontaneously” prior to the “beginning” of the experiment. For the “laboratory-setting” group the patterns were presented by means of slides and S, under instructions similar to those employed in conventional studies of human exploratory behavior, controlled the duration of each exposure by pressing a telegraph-key. A 4-factor analysis of variance of the viewing times showed that both groups spent the same amount of time examining the patterns and that their viewing times were not differentially affected by any of the three pattern parameters. It was tentatively concluded that the “unnaturalness” of conventional laboratory settings may have little effect on human exploratory responses.     

The Role of Epistemic Style in Counseling Preference and Orientation

Recent work has suggested that philosophical commitments play a part in directing preferences for different types of counseling, and in this article the authors extend that work with a series of four studies. Study 1 provides partial support for the relationship between epistemic commitments (rational, empirical, or metaphorical) and preferences for particular types of counseling (behavioral, rational emotive, constructivist). Studies 2 and 3 extend these findings by noting differences in how individuals gather, process, and respond to self-relevant feedback as a result of epistemic style. Finally, Study 4 provides tentative support for the possibility that counselor trainees gravitate toward preferring counseling theories that are consistent with their own epistemic orientations. Implications and limitations of these findings are discussed.     

Conceptualizing Attachment Trauma: Exploring Emotional Vulnerabilities among Disaster Affected Children of Gujarat

This study compares attachment trauma and psychological adjustment of child survivors of an earthquake and social violence in Gujarat (n = 127). In particular it explores attachment style/s associated with the two disaster traumas and tries to explicate, what these tell us about the particular vagaries of trauma. Results show larger number of insecurely attached children in the disaster trauma sample and the dismissing attachment style dominates particularly in the earthquake sample whereas in the riots sample one can see a presence of what can be termed as a ‘mixed attachment’ style-vacillation between dismissing and preoccupied states of mind. The implications of these findings for a conceptualization of attachment trauma are discussed in details.     

A new American dilemma? The effect of ethnic identification and public service on the national inclusion of ethnic minorities

Three experiments integrate research from political science and social psychology to examine the consequences of two competing visions of American national identity. American identity has been defined not only in terms of shared ethnocultural heritage originating in Europe (the ethnocultural prototype) but also in terms of shared commitment to civic service (the civic responsibility prototype). Three experiments tested the consequence of highlighting each of these national prototypes on perceivers' inclusion of ethnic minorities as legitimately American. Experiments 1–3 showed that highlighting ethnic minorities' allegiance to their ethnic subgroup (versus downplaying it) challenges the ethnocultural prototype and makes ethnic minorities appear less American. Process data showed that this effect was mediated by increased threats to American distinctiveness. By contrast, emphasizing ethnic minorities' national service (versus local community service) highlights ethnic minorities' fit with the civic responsibility prototype and makes ethnic minorities appear more American (Experiments 2–3). Process data showed that this effect was mediated by enhanced American distinctiveness. Collectively, these experiments highlight how inclusion of ethnic minorities in the nation can wax and wane depending on which definition of national character is salient in the social context. Copyright © 2012 John Wiley & Sons, Ltd.     

Unsupervised category learning with integral-dimension stimuli

Despite the recent surge in research on unsupervised category learning, the majority of studies have focused on unconstrained tasks in which no instructions are provided about the underlying category structure. Relatively little research has focused on constrained tasks in which the goal is to learn predefined stimulus clusters in the absence of feedback. The few studies that have addressed this issue have focused almost exclusively on stimuli for which it is relatively easy to attend selectively to the component dimensions (i.e., separable dimensions). In the present study, we investigated the ability of participants to learn categories constructed from stimuli for which it is difficult, if not impossible, to attend selectively to the component dimensions (i.e., integral dimensions). The experiments demonstrate that individuals are capable of learning categories constructed from the integral dimensions of brightness and saturation, but this ability is generally limited to category structures requiring selective attention to brightness. As might be expected with integral dimensions, participants were often able to integrate brightness and saturation information in the absence of feedback--an ability not observed in previous studies with separable dimensions. Even so, there was a bias to weight brightness more heavily than saturation in the categorization process, suggesting a weak form of selective attention to brightness. These data present an important challenge for the development of models of unsupervised category learning.     

Model-Implied Instrumental Variable—Generalized Method of Moments (MIIV-GMM) Estimators for Latent Variable Models

The common maximum likelihood (ML) estimator for structural equation models (SEMs) has optimal asymptotic properties under ideal conditions (e.g., correct structure, no excess kurtosis, etc.) that are rarely met in practice. This paper proposes model-implied instrumental variable – generalized method of moments (MIIV-GMM) estimators for latent variable SEMs that are more robust than ML to violations of both the model structure and distributional assumptions. Under less demanding assumptions, the MIIV-GMM estimators are consistent, asymptotically unbiased, asymptotically normal, and have an asymptotic covariance matrix. They are “distribution-free,” robust to heteroscedasticity, and have overidentification goodness-of-fit J-tests with asymptotic chi-square distributions. In addition, MIIV-GMM estimators are “scalable” in that they can estimate and test the full model or any subset of equations, and hence allow better pinpointing of those parts of the model that fit and do not fit the data. An empirical example illustrates MIIV-GMM estimators. Two simulation studies explore their finite sample properties and find that they perform well across a range of sample sizes.     

The Rāga Bhāva in the Sāṁkhya Kārikā: Rectifying an Age-Old Mistake

The last foot of the 23rd verse of the Sā?khya Kārikā (SK)—‘tāmasam asmāt viparyastam’—is in need of reinterpretation. Prevailing interpretations are generally based on the primary meaning of the verse. In that sense, it is understood as a declaration of the four tāmasika bhāva that are contrary to the sāttvika ones. Taking the primary meaning of the verse is problematic because it contradicts the gu?a-bhāva coherence required by the doctrine of satkārya. The doctrine of satkārya is one of the foundational principles of Sā?khya. The avirāga or rāga bhāva shows coherence to rajas rather than tamas. I show that the verse needs to be interpreted by taking the secondary meaning. Accordingly, avirāga or rāga is established as a bhāva of rajas rather than tamas. Further, I also show that the idea of bhāva in the Sā?khya Kārikā and the Bhagavadgītā may be closely related.     

Prior Related Work Experience and Job Performance: Role of personality

In contrast to the general notion, recent studies presented a negative or insignificant relationship between prior related work experience (PRWE) and job performance (JP) and suggestively attributed the theoretically inconsistent results to individual factors. Using a sample of 688 sales persons in the insurance industry, the present study found support for the positive relationship between PRWE and JP. Further, the study found the moderation effect of personality factors on the above relationship. Implication of the study to the practitioners and the academia is discussed.     

The perception of a familiar face is no more than the sum of its parts

Why do faces become easier to recognize with repeated exposure? Previous research has suggested that familiarity may induce a qualitative shift in visual processing from an independent analysis of individual facial features to analysis that includes information about the relationships among features (Farah, Wilson, Drain, & Tanaka Psychological Review, 105, 482–498, 1998; Maurer, Grand, & Mondloch Trends in Cognitive Science, 6, 255–260, 2002). We tested this idea by using a “summation-at-threshold” technique (Gold, Mundy, & Tjan Psychological Science, 23, 427–434, 2012; Nandy & Tjan Journal of Vision, 8, 3.1–20, 2008), in which an observer’s ability to recognize each individual facial feature shown independently is used to predict their ability to recognize all of the features shown in combination. We find that, although people are better overall at recognizing familiar as opposed to unfamiliar faces, their ability to integrate information across features is similar for unfamiliar and highly familiar faces and is well predicted by their ability to recognize each of the facial features shown in isolation. These results are consistent with the idea that familiarity has a quantitative effect on the efficiency with which information is extracted from individual features, rather than a qualitative effect on the process by which features are combined.