Social discounting of pain

Impatience can be formalized as a delay discount rate, describing how the subjective value of reward decreases as it is delayed. By analogy, selfishness can be formalized as a social discount rate, representing how the subjective value of rewarding another person decreases with increasing social distance. Delay and social discount rates for reward are correlated across individuals. However no previous work has examined whether this relationship also holds for aversive outcomes. Neither has previous work described a functional form for social discounting of pain in humans. This is a pertinent question, since preferences over aversive outcomes formally diverge from those for reward. We addressed this issue in an experiment in which healthy adult participants (N = 67) chose the timing and intensity of hypothetical pain for themselves and others. In keeping with previous studies, participants showed a strong preference for immediate over delayed pain. Participants showed greater concern for pain in close others than for their own pain, though this hyperaltruism was steeply discounted with increasing social distance. Impatience for pain and social discounting of pain were weakly correlated across individuals. Our results extend a link between impatience and selfishness to the aversive domain.     

Fitting multivariage normal finite mixtures subject to structural equation modeling

This paper is about fitting multivariate normal mixture distributions subject to structural equation modeling. The general model comprises common factor and structural regression models. The introduction of covariance and mean structure models reduces the number of parameters to be estimated in fitting the mixture and enables one to investigate a variety of substantive hypotheses concerning the differences between the components in the mixture. Within the general model, individual parameters can be subjected to equality, nonlinear and simple bounds constraints. Confidence intervals are based on the inverse of the Hessian and on the likelihood profile. Several illustrations are given and results of a simulation study concerning the confidence intervals are reported.     

Counsellors' responses to clients' non-attendance at counselling sessions

Although there has been some study of clients who miss psychotherapy appointments, very little attention has been given to therapists' responses in such circumstances. A questionnaire survey of student counsellors working in British higher education institutions invited them to consider whether or not they would initiate any further contact with each of eight hypothetical non-attenders, described in case vignettes. It was predicted that responses would be influenced both by the subjects' theoretical approach to counselling and by their level of interpersonal dependency, as measured with the Interpersonal Dependency Inventory (Hirschfeld et al., 1977). It was found that the majority of counsellors were not subject to institutional guidelines about contacting non-attenders, and that responses ranged from contacting none to contacting all of the clients. Psychodynamic counsellors were found to be significantly more likely to initiate contact than were humanistic counsellors. There were no significant correlations between contact scores and intepersonal dependency scores but women were significantly more likely to initiate contact than were men. Many of the psychodynamic subjects had commented on their therapeutic use of written communications to interpret non-attendance to their clients.     

Does Repeated Exposure to Popular Media Strengthen Moral Intuitions?: Exploratory Evidence Regarding Consistent and Conflicted Moral Content

Previous studies have indicated that media consumption may influence moral intuition sensitivity. The present exploratory studies sought to expand on these findings by employing a three-phase, longitudinal experiment conducted over nine weeks, where participants were exposed to two genres of films (romance, action) mixed in various ratios (high = 100% romance, medium = 60% romance, low = 20% romance, none = 0% romance). Findings from the initial study indicate that repeated exposure to romantic films led to increases in sensitivity for four of the five moral intuitions (i.e., care, fairness, authority, purity); at the same time, any exposure to action films seemed to erode these changes. A follow-up post-hoc content analysis sought to confirm these findings and test an operationalization of “moral conditioning.” We discuss the results in regards to media entertainment theory and research, and the societal implications of the role of media entertainment to reinforce standards of moral judgment.     

The Price of Pain and the Value of Suffering

ABSTRACT— Estimating the financial value of pain informs issues as diverse as the market price of analgesics, the cost-effectiveness of clinical treatments, compensation for injury, and the response to public hazards. Such valuations are assumed to reflect a stable trade-off between relief of discomfort and money. Here, using an auction-based health-market experiment, we show that the price people pay for relief of pain is strongly determined by the local context of the market, that is, by recent intensities of pain or immediately disposable income (but not overall wealth). The absence of a stable valuation metric suggests that the dynamic behavior of health markets is not predictable from the static behavior of individuals. We conclude that the results follow the dynamics of habit-formation models of economic theory, and thus, this study provides the first scientific basis for this type of preference modeling.     

Heteroscedastic one‐factor models and marginal maximum likelihood estimation

In the present paper, a general class of heteroscedastic one‐factor models is considered. In these models, the residual variances of the observed scores are explicitly modelled as parametric functions of the one‐dimensional factor score. A marginal maximum likelihood procedure for parameter estimation is proposed under both the assumption of multivariate normality of the observed scores conditional on the single common factor score and the assumption of normality of the common factor score. A likelihood ratio test is derived, which can be used to test the usual homoscedastic one‐factor model against one of the proposed heteroscedastic models. Simulation studies are carried out to investigate the robustness and the power of this likelihood ratio test. Results show that the asymptotic properties of the test statistic hold under both small test length conditions and small sample size conditions. Results also show under what conditions the power to detect different heteroscedasticity parameter values is either small, medium, or large. Finally, for illustrative purposes, the marginal maximum likelihood estimation procedure and the likelihood ratio test are applied to real data.     

The power to detect sex differences in IQ test scores using Multi-Group Covariance and Means Structure Analyses

Research into sex differences in general intelligence, g, has resulted in two opposite views. In the first view, a g-difference is nonexistent, while in the second view, g is associated with a male advantage. Past research using Multi-Group Covariance and Mean Structure Analysis (MG-CMSA) found no sex difference in g. This failure raised the question whether the g-difference is truly absent or whether MG-CMSA lacked statistical power to detect it. The present study used the likelihood ratio test to investigate the power to detect a g-difference in the WAIS-III factor structure with MG-CMSA. Various situations were examined including those reported in the literature. Results showed that power varies greatly among different scenarios. The scenarios based on previous results were associated with power coefficients of about 0.5–0.6. Implications of these findings are discussed in the light of research into sex differences in IQ.     

Self-Other Perspective and Sexual Attitudes Affect Estimates of Sexual Risk

This study evaluated the effects of self-other perspective, sexual attitudes, and a sexual victimization history on women’s estimates of sexual risk for a set of vignettes describing situations that they may face when interacting socially with men. One hundred and twenty-four women from a medium sized southwestern university in the US were assigned to two different conditions (imagine self vs. an anonymous woman) and asked to rate how risky the situations described were in terms of having an unwanted sexual experience. Results revealed that participants asked to imagine an anonymous woman estimated sexual risk as higher than participants asked to imagine themselves, and that participants reporting liberal sexual attitudes estimated sexual risk as lower than participants reporting more conservative attitudes.     

A framework for ML estimation of parameters of (mixtures of) common reaction time distributions given optional truncation or censoring

We present a framework for distributional reaction time (RT) analysis, based on maximum likelihood (ML) estimation. Given certain information relating to chosen distribution functions, one can estimate the parameters of these distributions and of finite mixtures of these distributions. In addition, left and/or right censoring or truncation may be imposed. Censoring and truncation are useful methods by which to accommodate outlying observations, which are a pervasive problem in RT research. We consider five RT distributions: the Weibull, the ex-Gaussian, the gamma, the log-normal, and the Wald. We employ quasi-Newton optimization to obtain ML estimates. Multicase distributional analyses can be carried out, which enable one to conduct detailed (across or within subjects) comparisons of RT data by means of loglikelihood difference tests. Parameters may be freely estimated, estimated subject to boundary constraints, constrained to be equal (within or over cases), or fixed. To demonstrate the feasibility of ML estimation and to illustrate some of the possibilities offered by the present approach, we present three small simulation studies. In addition, we present three illustrative analyses of real data.     

EZ does it! Extensions of the EZ-diffusion model

In this rejoinder, we address two of Ratcliff’s main concerns with respect to the EZ-diffusion model (Ratcliff, 2008). First, we introduce “robust-EZ,” a mixture model approach to achieve robustness against the presence of response contaminants that might otherwise distort parameter estimates. Second, we discuss an extension of the EZ model that allows the estimation of starting point as an additional parameter. Together with recently developed, user-friendly software programs for fitting the full diffusion model (Vandekerckhove & Tuerlinckx, 2007; Voss & Voss, 2007), the development of the EZ model and its extensions is part of a larger effort to make diffusion model analyses accessible to a broader audience, an effort that is long overdue.