Locus of control and organizational embeddedness

Using conservation of resources theory as a guide, this study examines why individuals with an internal locus of control (LOC) are more likely to feel embedded in their organizations. Two mediating processes are posited. First, people with high internal LOC are more likely to acquire greater work resources because they are more effective in negotiating and receiving employment deals which are not widely available or replicable elsewhere. Second, people with high internal LOC are more likely to acquire additional work resources because they network more proactively with colleagues and supervisors. Consequently, high LOC individuals are likely to become more embedded because they have more links with their colleagues and the sacrifices associated with leaving their jobs would be greater. The proposed model was tested and supported with three waves of data collected from a sample of 375 managerial respondents over an 8‐month period. Implications for future research, especially the role of personality traits in understanding organizational embeddedness, are also discussed.     

Psychometric properties of the Miranda Rights Comprehension Instruments with a juvenile justice sample

This article describes the psychometric properties of the Miranda Rights Comprehension Instruments, the revised version of Grisso's Miranda instruments. The original instruments demonstrated good reliability and validity in a normative sample. The revised instruments updated the content of the original instruments and were administered to a sample of 183 youth in pre- and postadjudication facilities. Analyses were conducted to establish the psychometric properties of the revised instruments and included similar analyses to those conducted by Grisso, as well as additional calculations (e.g., standard errors of measurement, intraclass correlation coefficients, Kappa coefficients). Results revealed sound psychometric properties, similar to those observed for the original instruments.     

Americans respond politically to 9/11: understanding the impact of the terrorist attacks and their aftermath

The 9/11 terrorist attacks have had profound effect on U.S. domestic and foreign security policy, leading to several expensive wars and the erosion of civil liberties (under the USA PATRIOT Act). We review evidence on political reactions to the 9/11 attacks and conclude that subjective reactions to terrorism played an important role in shaping support for national security policy in the wake of 9/11. Support for a strong national security policy was most pronounced among Americans who perceived the nation as at threat from terrorism and felt angry at terrorists. In contrast, Americans who were personally affected by the attacks were more likely to feel anxious about terrorism, and this anxiety translated into less support for overseas military action. In addition, Americans who felt insecure after the 9/11 attacks and perceived a high future threat of terrorism were more likely than others to support strong foreign and domestic national security policies. Overall, research on American political reactions to 9/11 suggests that support for a strong government response to terrorism is most likely when members of a population perceive a high risk of future terrorism and feel angry at terrorists.     

Intact and impaired mechanisms of action understanding in autism

Typically developing children understand and predict others' behavior by extracting and processing relevant information such as the logic of their actions within the situational constraints and the intentions conveyed by their gaze direction and emotional expressions. Children with autism have difficulties understanding and predicting others' actions. With the use of eye tracking and behavioral measures, we investigated action understanding mechanisms used by 18 children with autism and a well-matched group of 18 typically developing children. Results showed that children with autism (a) consider situational constraints in order to understand the logic of an agent's action and (b) show typical usage of the agent's emotional expressions to infer his or her intentions. We found (c) subtle atypicalities in the way children with autism respond to an agent's direct gaze and (d) marked impairments in their ability to attend to and interpret referential cues such as a head turn for understanding an agent's intentions.     

Exemplar models as a mechanism for performing Bayesian inference

Probabilistic models have recently received much attention as accounts of human cognition. However, most research in which probabilistic models have been used has been focused on formulating the abstract problems behind cognitive tasks and their optimal solutions, rather than on mechanisms that could implement these solutions. Exemplar models are a successful class of psychological process models in which an inventory of stored examples is used to solve problems such as identification, categorization, and function learning. We show that exemplar models can be used to perform a sophisticated form of Monte Carlo approximation known as importance sampling and thus provide a way to perform approximate Bayesian inference. Simulations of Bayesian inference in speech perception, generalization along a single dimension, making predictions about everyday events, concept learning, and reconstruction from memory show that exemplar models can often account for human performance with only a few exemplars, for both simple and relatively complex prior distributions. These results suggest that exemplar models provide a possible mechanism for implementing at least some forms of Bayesian inference.     

Individual differences in executive functions are almost entirely genetic in origin

Recent psychological and neuropsychological research suggests that executive functions--the cognitive control processes that regulate thought and action--are multifaceted and that different types of executive functions are correlated but separable. The present multivariate twin study of 3 executive functions (inhibiting dominant responses, updating working memory representations, and shifting between task sets), measured as latent variables, examined why people vary in these executive control abilities and why these abilities are correlated but separable from a behavioral genetic perspective. Results indicated that executive functions are correlated because they are influenced by a highly heritable (99%) common factor that goes beyond general intelligence or perceptual speed, and they are separable because of additional genetic influences unique to particular executive functions. This combination of general and specific genetic influences places executive functions among the most heritable psychological traits. These results highlight the potential of genetic approaches for uncovering the biological underpinnings of executive functions and suggest a need for examining multiple types of executive functions to distinguish different levels of genetic influences.     

Pride and respect in volunteers' organizational commitment

As volunteer organizations cannot rely on instrumental means to motivate their workers, we examine organizational commitment as a focal indicator of work motivation among volunteers. Based on a social identity analysis and previous work among paid employees, we argue that pride in the organization and respect from the organization predicts organizational commitment among volunteers. We further propose that among volunteers the perceived importance of volunteer work is an antecedent of pride, and that perceived support from the organization is an antecedent of respect. In this study among volunteer workers, Structural Equation Modeling (SEM) offers empirical support for our hypothesized model. In addition to the theoretical significance of developing a model that explains organizational commitment among volunteer workers, this study also has practical relevance, as it indicates that volunteer organizations might convey the importance of volunteer work and provide organizational support to induce pride and respect as a means of enhancing organizational commitment among their volunteers. Copyright © 2007 John Wiley & Sons, Ltd.     

Human topological task adapted for rats: Spatial information processes of the parietal cortex

Human research has shown that lesions of the parietal cortex disrupt spatial information processing, specifically topological information. Similar findings have been found in non-humans. It has been difficult to determine homologies between human and non-human mnemonic mechanisms for spatial information processing because methodologies and neuropathology differ. The first objective of the present study was to adapt a previously established human task for rats. The second objective was to better characterize the role of parietal cortex (PC) and dorsal hippocampus (dHPC) for topological spatial information processing. Rats had to distinguish whether a ball inside a ring or a ball outside a ring was the correct, rewarded object. After rats reached criterion on the task (>95%) they were randomly assigned to a lesion group (control, PC, and dHPC). Animals were then re-tested. Post-surgery data show that controls were 94% correct on average, dHPC rats were 89% correct on average, and PC rats were 56% correct on average. The results from the present study suggest that the parietal cortex, but not the dHPC processes topological spatial information. The present data are the first to support comparable topological spatial information processes of the parietal cortex in humans and rats.     

The price of deceptive behavior: Disliking and lying to people who lie to us

We hypothesized that frequency and quality of deception influences how people perceive those who lie to them and that people subsequently increase deceptive behavior as a consequence of being lied to. In Study 1, participants were covertly videotaped conversing with a partner. Following the conversation, participants evaluated partners, and partners reviewed the videotape, identifying deceptions that they told. Findings indicated that partner’s frequency of deception was inversely related to likeability. In Study 2, participants watched a videotape of a confederate who appeared to produce one or four exaggerated or minimized lies, and then evaluated the confederate. Participants and confederates subsequently engaged in a conversation. When participants witnessed either one exaggerated lie, one or four minimal lies, or no lies they trusted and liked the confederate more than when witnessing four exaggerated lies. Moreover, participants increased their own use of deception as a function of the severity and quantity of confederate’s lies.     

An algebra of human concept learning

An important element of learning from examples is the extraction of patterns and regularities from data. This paper investigates the structure of patterns in data defined over discrete features, i.e. features with two or more qualitatively distinct values. Any such pattern can be algebraically decomposed into a spectrum of component patterns, each of which is a simpler or more atomic “regularity.” Each component regularity involves a certain number of features, referred to as its degree. Regularities of lower degree represent simpler or more coarse patterns in the original pattern, while regularities of higher degree represent finer or more idiosyncratic patterns. The full spectral breakdown of a pattern into component regularities of minimal degree, referred to as its power series, expresses the original pattern in terms of the regular rules or patterns it obeys, amounting to a kind of “theory” of the pattern. The number of regularities at various degrees necessary to represent the pattern is tabulated in its power spectrum, which expresses how much of a pattern's structure can be explained by regularities of various levels of complexity. A weighted mean of the pattern's spectral power gives a useful numeric summary of its overall complexity, called its algebraic complexity. The basic theory of algebraic decomposition is extended in several ways, including algebraic accounts of the typicality of individual objects within concepts, and estimation of the power series from noisy data. Finally some relations between these algebraic quantities and empirical data are discussed.