Biases in Ethical Decision Making among University Faculty

Over the years, cognitive biases have been examined throughout the decision-making literature, but little work has investigated the cognitive biases operating in ethical decision making. The present effort explores a taxonomy of biases through interviews with university faculty members. Additionally, this study identifies the psychological processes giving rise to these biases in ethical decision making. Results suggest that the biases listed in the taxonomy are indeed operating in the ethical decision making of university faculty. Implications of these results are discussed.     

Test for model selection using Cramér–von Mises distance in a fixed design regression setting

In this paper a test for model selection is proposed which extends the usual goodness-of-fit test in several ways. It is assumed that the underlying distribution H depends on a covariate value in a fixed design setting. Secondly, instead of one parametric class we consider two competing classes one of which may contain the underlying distribution. The test allows to select one of two equally treated model classes which fits the underlying distribution better. To define the distance of distributions various measures are available. Here the Cramér-von Mises has been chosen. The null hypothesis that both parametric classes have the same distance to the underlying distribution H can be checked by means of a test statistic, the asymptotic properties of which are shown under a set of suitable conditions. The performance of the test is demonstrated by Monte Carlo simulations. Finally, the procedure is applied to a data set from an endurance test on electric motors.     

Surrogate models in ill-conditioned systems

Ridge versions of an ill-conditioned system are alleged to “act more like an orthogonal system” than the system itself. Alternatives, called surrogates and based on the conditioning of linear systems, are shown to yield smaller expected mean squares than OLS, and uniformly smaller residual sums of squares than ridge. Ridge and surrogate solutions are compared on several marques of orthogonality to include conditioning of dispersion arrays, variance inflation factors, isotropy of variances, and sphericity of contours of the estimators. For these, ridge typically exhibits erratic divergence from orthogonality as the ridge scalar evolves, often reverting back to OLS in the limit. In contrast, surrogate solutions converge monotonically to those from orthogonal systems. Invariance considerations constrain the computations to models in canonical form. Case studies serve to illustrate the central issues.     

‘I am the face of success’: peer mentors in child welfare

Child welfare systems have struggled to create innovative, culturally sensitive programmes to address the multiple and pervasive barriers that exist in engaging child welfare parent clients in their service plans. Peer mentor programmes—those in which parents who have successfully navigated the child welfare system and reunified with their children, mentor parents newly entering the system—are designed to address some of these barriers, to improve reunification outcomes. Focus groups with parent clients (n = 25) and interviews with peer mentors (n = 6) were conducted to identify the characteristics of peer mentoring programmes that are critically helpful to parent clients, as well as the mechanisms that allow peer mentors to be effective in their work. The qualitative analysis uncovered three general themes to which both parents and peer mentors frequently referred in interviews—the value of shared experiences, communication and support. Additionally, the study found that peer mentorship has positive effects not only on parent clients but also on the mentors themselves. The inclusion of peer mentors in child welfare practice suggests an important paradigm shift within child welfare that could lead to culture change for the field.     

The forgotten half: analysing the politics of welfare services

Jensen C. The forgotten half: analysing the politics of welfare services Int J Soc Welfare 2011: 20: 404–412 © 2010 The Author(s), International Journal of Social Welfare © 2010 Blackwell Publishing Ltd and the International Journal of Social Welfare. This article discusses the welfare state and argues that the service component has been neglected in the mainstream literature. A main reason for the neglect is the lack of theorising on the distinction between the politics of welfare services and the politics of transfers. An analytical framework that may help overcome this problem is presented.     

Slipping Into and Out of Underemployment: Another Disadvantage for Nonmetropolitan Workers?1

Abstract Underemployment, which goes beyond unemployment to include the working poor, discouraged workers, and involuntary part-time workers, is a useful measure of employment hardship. We argue that underemployment should be included with other conventional indicators of the disadvantaged circumstances of nonmetropolitan (nonmetro) labor, in terms not only of prevalence, but also of the likelihood of transitions into and out of underemployment. We take advantage of the quasi-longitudinal nature of the U.S. Current Population Surveys to estimate models of year-to-year employment transitions for the quarter century 1968 to 1993. We find that (1) adequately employed nonmetro workers are more likely than their more urban counterparts to become underemployed; (2) the nonmetro underemployed are less likely to become adequately employed; (3) statistical controls only strengthen these nonmetro disadvantages; (4) the employment transitions of nonmetro workers are less affected by shifts in the direction of the national economy than are those of metro workers; and (5) nonmetro women are more disadvantaged than women residing elsewhere.     

COMPARISON OF CONSENSUS METHODS FOR PRIORITY RANKING PROBLEMS

Various consensus methods proposed for ranking problems yield controversial rankings and/or tied rankings which are vulnerable to considerable dispute. These include Borda-Kendall (BK) and minimum-variance (MV) methods. This paper compares three continuous (ratio-scale) consensus scoring methods with BK and MV ranking methods. One method, termed GM, is an eigenvector scaling of the geometric-mean consensus matrix. GM allows for (1) paired-comparison voting inputs (as opposed to all-at-once ranking), (2) pick-the-winner preference voting, and (3) ratio-scale preference voting. GM is relatively simple to calculate on small computers or calculators, and merging of “close” candidates into tied rankings can be achieved by using an e-threshold tie rule discussed in this paper. The GM method thus can be used for paired-comparison voting to calculate both a ratio-scaled consensus index (based on a consensus eigenvector) and a ranking of candidates that allows for ties between “close” candidates. Eigenvalue analysis is used as a means of evaluating voter inconsistencies.     

New Well-being Measures: Short Scales to Assess Flourishing and Positive and Negative Feelings

Measures of well-being were created to assess psychological flourishing and feelings—positive feelings, negative feelings, and the difference between the two. The scales were evaluated in a sample of 689 college students from six locations. The Flourishing Scale is a brief 8-item summary measure of the respondent’s self-perceived success in important areas such as relationships, self-esteem, purpose, and optimism. The scale provides a single psychological well-being score. The measure has good psychometric properties, and is strongly associated with other psychological well-being scales. The Scale of Positive and Negative Experience produces a score for positive feelings (6 items), a score for negative feelings (6 items), and the two can be combined to create a balance score. This 12-item brief scale has a number of desirable features compared to earlier measures of positive and negative emotions. In particular, the scale assesses with a few items a broad range of negative and positive experiences and feelings, not just those of a certain type, and is based on the amount of time the feelings were experienced during the past 4 weeks. The scale converges well with measures of emotions and affective well-being.     

‘The whole is always smaller than its parts’ – a digital test of Gabriel Tardes' monads

In this paper we argue that the new availability of digital data sets allows one to revisit Gabriel Tarde's (1843–1904) social theory that entirely dispensed with using notions such as individual or society. Our argument is that when it was impossible, cumbersome or simply slow to assemble and to navigate through the masses of information on particular items, it made sense to treat data about social connections by defining two levels: one for the element, the other for the aggregates. But once we have the experience of following individuals through their connections (which is often the case with profiles) it might be more rewarding to begin navigating datasets without making the distinction between the level of individual component and that of aggregated structure. It becomes possible to give some credibility to Tarde's strange notion of ‘monads’. We claim that it is just this sort of navigational practice that is now made possible by digitally available databases and that such a practice could modify social theory if we could visualize this new type of exploration in a coherent way.