Effects of basic human values on host community acculturation orientations

Although literature provides evidence for the relationship between values and acculturation, the relationship between host community acculturation orientations has not yet been investigated. In this study we tested the effects of four high-order values (openness to change, self-transcendence, conservation, and self-enhancement, devised according to Schwartz's model) on host community acculturation orientations towards immigrants (devised according the interactive acculturation model) in the public domain of employment and the private domain of endogamy/exogamy. Participants were 264 Italian University students, who completed a questionnaire containing the Portrait Values Questionnaire, a measure of personal values, and the Host Community Acculturation Scale, aimed at measuring Italian acculturation strategies towards three groups of immigrants: Immigrants (the general category), Chinese (the valued immigrant group), and Albanians (the devalued immigrant group). Results showed that personal values are related to the adoption of acculturation orientations: In particular, the values that mostly impacted on acculturation orientations were self-transcendence and conservation. Values concerning self-transcendence encourage the adoption of integrationism, integrationism-transformation, and individualism and reduce the adoption of assimilationism, segregationism, and exclusionism. Values concerning conservation encourage the adoption of assimilation, segregation and exclusion orientations and reduce the adoption of both types of integrationism and individualism. Minor effects were found regarding self-enhancement and openness to change.     

Does g variance change in adulthood? Testing the age de-differentiation hypothesis across sex

In the last decade, changes in the structure of intelligence across the life-span has become a central topic in the research on human intelligence. One of the main hypotheses that has arisen to account for such changes has been the age de-differentiation hypothesis [Balinsky, Genetic Psychology Monographs 23 1941, 191]. It predicts an increase in the importance of g, and a decrease in the number and importance of the lower-order abilities from early maturity to senescence. Despite of the research effort to test this hypothesis, no study has ever been conducted controlling by sex. For that purpose, males and females of the Spanish standardisation sample of the WAIS-III were analysed separately. Results show that the importance of g does not change with age irrespective of sex. Thus, the age de-differentiation hypothesis is rejected for both males and females. The indifferentiation hypothesis is supported as a more appropriate view of the changes in the structure of intelligence across adulthood.     

Attachment style,attachment to God,religiosity, and moral disengagement: a study on offenders

The present study investigates religiosity, moral disengagement, attachment to God, and interpersonal attachment in 30 offenders within Italian jails. We administered a semi-structured interview to collect data about family, social and medical history, and the manner in which the deviant act was carried out; the Moral Disengagement Scale; the Attachment to God Inventory; the Revised Intrinsic/Extrinsic Religious Orientation Scale; and the Attachment Style Questionnaire. Results show how intrinsic religiosity negatively predicts moral disengagement; the “Preoccupation with Relationships” Scale (anxious/ambivalent attachment) predicts avoidant attachment to God; and the “Secondariety for Relationship” Scale (dismissing attachment) predicts personal extrinsic religiosity and negatively predicts intrinsic religiosity. Studying these constructs in offenders is important not only to increase the literature but also to implement interventions aimed at reeducation focused on issues relevant to personal adjustment.     

A Study of Black and White College Women

In an examination of career aspirations, 101 black and 530 white college women were asked to indicate their occupational and educational plans, important considerations for career choices, and their attitudes toward combining the roles of career and family. Results indicated that women who planned careers in male-dominated occupations had higher career and educational aspirations than women who desired careers in femaledominated occupations. Black women who planned careers in male-dominated professions showed high levels of aspirations, planned more education than was necessary for the desired occupations, and perceived less conflict in combining the roles of career and family than their white counterparts. There were few differences between black and white women in their attitudes toward the traditional roles of men and women. Those choosing female-dominated careers, however, had more traditional attitudes regardless of race. Implications of these findings for the influence of occupational gender dominance on career aspirations are discussed.     

Augmenting Data With Published Results in Bayesian Linear Regression

In most research, linear regression analyses are performed without taking into account published results (i.e., reported summary statistics) of similar previous studies. Although the prior density in Bayesian linear regression could accommodate such prior knowledge, formal models for doing so are absent from the literature. The goal of this article is therefore to develop a Bayesian model in which a linear regression analysis on current data is augmented with the reported regression coefficients (and standard errors) of previous studies. Two versions of this model are presented. The first version incorporates previous studies through the prior density and is applicable when the current and all previous studies are exchangeable. The second version models all studies in a hierarchical structure and is applicable when studies are not exchangeable. Both versions of the model are assessed using simulation studies. Performance for each in estimating the regression coefficients is consistently superior to using current data alone and is close to that of an equivalent model that uses the data from previous studies rather than reported regression coefficients. Overall the results show that augmenting data with results from previous studies is viable and yields significant improvements in the parameter estimation.