Extending Structural Analyses of the Rosenberg Self-Esteem Scale to Consider Criterion-Related Validity: Can Composite Self-Esteem Scores Be Good Enough?

Although the Rosenberg Self-Esteem Scale (RSES) is the most widely used measure of global self-esteem in the literature, there are ongoing disagreements about its factor structure. This methodological debate informs how the measure should be used in substantive research. Using a sample of 1,127 college students, we test the overall fit of previously specified models for the RSES, including a newly proposed bifactor solution (McKay, Boduszek, &; Harvey, 2014 McKay, M. T., Boduszek, D., &; Harvey, S. (2014). The Rosenberg Self-Esteem Scale: A bifactor answer to a two-factor question? Journal of Personality Assessment, 96, 654–660.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]). We extend previous work by evaluating how various latent factors from these structural models are related to a set of criterion variables frequently studied in the self-esteem literature. A strict unidimensional model poorly fit the data, whereas models that accounted for correlations between negatively and positively keyed items tended to fit better. However, global factors from viable structural models had similar levels of association with criterion variables and with the pattern of results obtained with a composite global self-esteem variable calculated from observed scores. Thus, we did not find compelling evidence that different structural models had substantive implications, thereby reducing (but not eliminating) concerns about the integrity of the self-esteem literature based on overall composite scores for the RSES.     

Majoring in Selection,and Minoring in Socialization: The Role of the College Experience in Goal Change Post–High School

Though it is frequently assumed that the college experience can influence our life goals, this claim has been relatively understudied. The current study examined the role of goals in college major selection, as well as whether major selection influences later goal change. In addition, we examined whether a person's perceptions of his or her peers' goals influence goal setting. Using a sample of German students (M_age = 19 years; n = 3,023 at Wave 1), we assessed life goal levels and changes from high school into college across three assessment occasions. Participants reported their current aspirations, along with the perceived goals of their peers during the college assessments. Using latent growth curve models, findings suggest that life goals upon entering college significantly predict the majors students select. However, this major selection had limited influence on later changes in life goals. Stronger effects were found with respect to perceptions of peers' goals, with students tending to change their goals to better align with their peers. The current study provides evidence that life goals are relatively stable and yet can change during the emerging adult years, in ways that demonstrate the potential influence of the college experience.     

Attributions About Morally Unreliable Characters: Relationship Closeness Affects Moral Judgments

Across 6 studies, relationship closeness strongly influenced moral attribution. First, we found that moral attributions were stronger when one interacted with an intimate compared to less intimate other. Second, we examined attributions about those who treat some people well and others badly. Moral character attributions were worse when an actor harmed an intimate relationship partner compared to a less close relationship partner. Further, the effect of relationship partner on moral attributions was influenced by perceivers’ beliefs about one’s true character. Perceivers were apt to believe that one’s true character is revealed when interacting with close others.     

The Ethical Implications of Using Genetic Information in Personnel Selection

Biology, during the last decade in particular, is making substantial headway into our social theories of business and behavior. While the social sciences rush to keep up with the advancement of knowledge, we highlight the need for an ethics discussion to also keep pace. Although the implications to theory are important, our focus is on how new knowledge has the capacity to alter the formulation and practice of business policy, which we believe is potentially profound. Furthermore, the ethicality of a set of issues can depend heavily on one’s perspective, and differing views may not always be compatible. With this in mind, we discuss the ways in which one area of emerging biological knowledge—behavioral genetics—invites a rethinking of the nuances of four long-standing topic areas of business ethics surrounding personnel selection; and we do so from two perspectives—that of the employer and of the job seeker. The four ethical topics are (a) the static (mostly) nature of genetic information that is out of an individual’s control, (b) faking and lying during selection processes, (c) privacy, and (d) stigmatization of minority groups.     

The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts

The capacity to collect and analyse data is growing exponentially. Referred to as ‘Big Data’, this scientific, social and technological trend has helped create destabilising amounts of information, which can challenge accepted social and ethical norms. Big Data remains a fuzzy idea, emerging across social, scientific, and business contexts sometimes seemingly related only by the gigantic size of the datasets being considered. As is often the case with the cutting edge of scientific and technological progress, understanding of the ethical implications of Big Data lags behind. In order to bridge such a gap, this article systematically and comprehensively analyses academic literature concerning the ethical implications of Big Data, providing a watershed for future ethical investigations and regulations. Particular attention is paid to biomedical Big Data due to the inherent sensitivity of medical information. By means of a meta-analysis of the literature, a thematic narrative is provided to guide ethicists, data scientists, regulators and other stakeholders through what is already known or hypothesised about the ethical risks of this emerging and innovative phenomenon. Five key areas of concern are identified: (1) informed consent, (2) privacy (including anonymisation and data protection), (3) ownership, (4) epistemology and objectivity, and (5) ‘Big Data Divides’ created between those who have or lack the necessary resources to analyse increasingly large datasets. Critical gaps in the treatment of these themes are identified with suggestions for future research. Six additional areas of concern are then suggested which, although related have not yet attracted extensive debate in the existing literature. It is argued that they will require much closer scrutiny in the immediate future: (6) the dangers of ignoring group-level ethical harms; (7) the importance of epistemology in assessing the ethics of Big Data; (8) the changing nature of fiduciary relationships that become increasingly data saturated; (9) the need to distinguish between ‘academic’ and ‘commercial’ Big Data practices in terms of potential harm to data subjects; (10) future problems with ownership of intellectual property generated from analysis of aggregated datasets; and (11) the difficulty of providing meaningful access rights to individual data subjects that lack necessary resources. Considered together, these eleven themes provide a thorough critical framework to guide ethical assessment and governance of emerging Big Data practices.     

Conscientiousness and fruit and vegetable consumption: exploring behavioural intention as a mediator

Clear associations have emerged between conscientiousness and health behaviours, such that higher levels of conscientiousness are predictive of beneficial health behaviours. This study investigated the conscientiousness-fruit and vegetable consumption relationship and whether behavioural intention mediated this relationship. A large sample of adults (N = 2136) completed an online battery of questionnaires measuring conscientiousness, behavioural intentions to consume fruit and vegetables, together with self-reported behaviour. Correlation analysis revealed that conscientiousness and each of its facets were positively associated with behavioural intention and self-reported behaviour. Hierarchical multiple regression analyses revealed that after controlling for age, gender and education, total conscientiousness, and the facets of responsibility, industriousness, order and virtue predicted self-reported behaviour. Further analysis revealed that in line with the Theory of Planned Behaviour, behavioural intention fully mediated the conscientiousness-fruit and vegetable behaviour relationship. In conclusion, low levels of conscientiousness were found to be associated with lower fruit and vegetable intentions, with the latter also associated with fruit and vegetable consumption.     

Reducing Identity Distress: Results of an Identity Intervention for Emerging Adults

Emerging adulthood is a transitional period between adolescence and adulthood where positive and negative life trajectories tend to diverge, with issues surrounding identity formation playing a key role. The present study evaluated the Miami Adult Development Project, a self-facilitated identity-focused intervention. The sample consisted of 141 emerging adults (19?29 years old; M = 23.08) who completed pretest and posttest assessments. Results indicated participation in the intervention relative to the comparison group was associated with lower levels of identity distress and higher levels of well-being via the reduction of identity distress and the development of a consolidated identity (commitment and synthesis). The present study provides evidence for the effectiveness of positive identity interventions during emerging adulthood.