Cognitive processing of body and appearance words as a function of thin-ideal internalization and schematic activation

To better understand how women at risk of body image disturbance respond when their body concerns are activated, we examined attentional and memory biases in undergraduate women with high thin-ideal internalization, an identified risk factor for eating disorders, following priming of body and appearance concerns. Female undergraduates (N = 186) viewed photos of either sports cars or attractive swimsuit models, then completed the Lexical Decision Test, a word recall test, and questionnaires assessing thin-ideal internalization and eating disorder symptomatology. High thin-ideal internalizers did not exhibit cognitive biases predicted by cognitive models of eating disorders, even when their body and appearance concerns were primed by exposure to attractive models. Converging evidence suggests that high-risk non-clinical samples rarely exhibit cognitive biases characteristic of individuals with eating disorders, and, in fact, may actually incorporate ideal appearance into their schemas and preferentially attend to attractive stimuli.     

Effects of Suntan on Judgements of Healthiness and Attractiveness by Adolescents1

The present study sought to explore the relationship between level of suntan and perceptions of healthiness and attractiveness. The sample consisted of 191 students with a mean age of 14 years from five Victorian secondary schools. Subjects were presented with a series of slide pairs of models and asked to indicate the healthier and more attractive stimulus model in each pair. Systematically varied independent variables were: tan level (4 levels: no tan, light, medium, and dark tan), attire (swimwear and casual), sex of model, and sex of subject. Judgements of healthiness and attractiveness were moderately related to each other, the same judgement being made two thirds of the time. Results indicate that a medium tan is perceived as healthiest and most attractive, and “no tan” is perceived as both least healthy and attractive. Generally, darker tans were judged relatively more healthy and more attractive for judgements of male models, judgements of models who wore swimwear, and overall by subjects who desired a dark tan. Sex of subject affected judgements of attractiveness but not healthiness, with male subjects seeing darker tans as more attractive than female subjects. These findings confirm that perception of both healthiness and attractiveness are affected by level of suntan. That suntans have these attributes is a barrier to skin cancer control campaigns designed to encourage reduced exposure to the sun, although the lower level of preferences for the darkest tan level is reassuring.     

Preliminary support for links between media body ideal insecurity and women's shoe and handbag purchases

Two studies examined the relationship between women's insecurity-arousing comparisons with female models and shoe/handbag ownership. Idealized media images appear capable of threatening some women's sense of attractiveness and it may be that as a result, accessorizing becomes particularly appealing because it helps increase physical attractiveness without drawing attention to one's figure, the object of the threatening comparisons. In Study 1 (N=922), a correlational study, the more women reported that they feel insecure when they see attractive female models, the more shoes they tended to own. In Study 2 (N=286), we manipulated whether women saw images of attractive female models or not. The more women exhibited insecurity following exposure to the images of attractive models, the more shoes and handbags they tended to own. In both studies, these effects did not hold for ownership of trousers, an item of clothing that draws attention toward one's body.     

When the grass on the other side of the fence doesn't matter: Reciprocal romantic interest neutralizes attentional bias towards attractive alternatives

Attention is automatically captured by pictures of physically attractive faces. Although helpful for mate detection, a chronic attentional bias towards attractive opposite-sex faces interferes with relationship initiation because it detracts from the current choice. Therefore, we hypothesized that an orienting of attention to attractive opposite-sex faces is inhibited as soon as a potential mating partner reciprocates one's romantic feelings. Results of two experiments supported this idea: In a first study, imagining that an attractive person shows signs of reciprocal romantic interest eliminated automatic attentional capture by attractive opposite-sex faces. Similar results were obtained in a second study that analyzed intra-individual change in attentional biases during a longitudinal dating study. Results provide evidence for the role of automatic regulatory processes in relationship initiation and can be incorporated into more general models of (implicit) self-regulation.     

Considerations in psychometric modeling of response time

Semiparametric models express a set of distributions of event times in terms of (a) a single parameter which varies across distributions and (b) a single function which does not vary across distributions and which has an unspecified form. These models appear to be attractive alternatives to parametric models of response times in psychometrics. However, our use of such models may require incorporating additional functions which do not vary across distributions and may require expressing the models in terms of the joint distribution of response class and response time.     

The impact of advertisements featuring ultra‐thin or average‐size models on women with a history of eating disorders

Previous research demonstrates that exposure to ultra‐thin media models leads to increased body image concerns amongst women (Groesz, Levine, & Murnen, 2002 ). There is emerging evidence that attractive, average‐size models do not have this negative effect and can be effective in advertising (e.g. Halliwell & Dittmar, 2004 ). The present study investigates these factors amongst women with a history of eating disorders. Participants either viewed advertisements featuring ultra‐thin, average‐size or control images. Immediately after exposure, they reported their body‐focused anxiety and rated the effectiveness of the advertisements. Whereas exposure to ultra‐thin models did not lead to increased body‐focused anxiety, exposure to average‐size models produced a relief effect, whereby women reported lower levels of body‐focused anxiety. Advertisements featuring ultra‐thin and average‐size models were equally effective. The results suggest that average‐size, attractive models could be used effectively in advertising, which may help to relieve body image concerns amongst these women. Copyright © 2005 John Wiley & Sons, Ltd.     

Two-Step Estimation of Models Between Latent Classes and External Variables

We consider models which combine latent class measurement models for categorical latent variables with structural regression models for the relationships between the latent classes and observed explanatory and response variables. We propose a two-step method of estimating such models. In its first step, the measurement model is estimated alone, and in the second step the parameters of this measurement model are held fixed when the structural model is estimated. Simulation studies and applied examples suggest that the two-step method is an attractive alternative to existing one-step and three-step methods. We derive estimated standard errors for the two-step estimates of the structural model which account for the uncertainty from both steps of the estimation, and show how the method can be implemented in existing software for latent variable modelling.     

Defendant characteristics and juridic decisions

Research has demonstrated that attractive defendants receive more preferential treatment than do less attractive defendants. The present study examined two explanations for this finding (liking-leniency and causal inference models). It varied both the attractiveness of the defendant's traits and their relevance to the likelihood of committing a traffic felony. Results indicated that the attractive defendant was found less guilty than the unattractive defendant only when the traits were associated with the likelihood of acting criminally. This suggests that a causal inference model was appropriate when subjects decided guilt. However, a liking-leniency model was supported for decisions on severity of punishment as the attractive defendant was treated more leniently than the unattractive defendant, regardless of the relevancy of the traits to the crime.     

How Dissimilar Others May Still Resemble the Self: Assimilation and Contrast after Social Comparison

This research addressed the determinants of self‐evaluative assimilation and contrast after comparison to highly attractive models. Experiment 1 showed that the manipulation of the headlines in advertising campaigns sufficed to influence the direction of spontaneous comparisons to idealized models for both women and men. Experiment 2 replicated these findings in a context in which participants were explicitly asked to compare themselves to the depicted models. The results suggest that spontaneous comparison processes, even to high standards, may lead to either assimilation or contrast as a function of initially perceived similarities. Theoretical implications as well as implications for perceivers are discussed     

Job-decision inconsistencies involving social comparison information: the role of dominating alternatives

Previous research on joint versus separate preference reversals has demonstrated that individuals focus on social comparison information when they are evaluating a single option but focus on absolute salary when they are considering more than 1 option. Study 1 demonstrates that social comparison information is important in multiple option scenarios when an option favorable on social comparison dominates an inferior, 3rd alternative. Study 2 examines why dominating alternatives are so attractive by investigating the role that the value-shift, weight-change, and emergent-value models play in explaining the pattern of results obtained in Study 1. Results provide support for the value-shift and emergent-value models and further suggest that these 2 models may be interrelated, with justification (emergent-value model) mediating the relationship between the attractiveness of the attributes (value-shift model) and the attractiveness of the dominating alternative.     

Possible Worlds for Modal Primitivists

Among the most remarkable developments in metaphysics since the 1950’s is the explosion of philosophical interest in possible worlds. This paper proposes an explanation of what possible worlds are, and argues that this proposal, the interpreted models conception, should be attractive to anyone who thinks that modal facts are primitive, and so not to be explained in terms of some non-modal notion of “possible world.” I articulate three constraints on any acceptable primitivist explanation of the nature of possible worlds, and show that the interpreted models conception meets the three constraints.     

Additive and multiplicative models for gamma distributed random variables,and their application as psychometric models for response times

A class of models for gamma distributed random variables is presented. These models are shown to be more flexible than the classical linear models with respect to the structure that can be imposed on the expected value. In particular, both additive, multiplicative, and combined additive-multiplicative models can be formulated. As a special case, a class of psychometric models for reaction times is presented, together with their psychological interpretation. By means of a comparison with existing models, this class of models is shown to offer some possibilities that are not available in existing methods. Parameter estimation by means of maximum likelihood (ML) is shown to have some attractive properties, since the models belong to the exponential family. Then, the results of a simulation study of the bias in the ML estimates are presented. Finally, the application of these models is illustrated by an analysis of the data from a mental rotation experiment. This analysis is preceded by an evaluation of the appropriateness of the gamma distribution for these data.     

Is positivity a cue or a response option? Warm glow vs evaluative matching in the familiarity for attractive and not-so-attractive faces

Monin (2003) showed that the attractiveness of a face increases its perceived familiarity regardless of prior exposure, and suggested that this beautiful-is-familiar effect was due to the misattribution to familiarity of the positive affect (or “warm glow”) elicited by attractive faces. This research tests the alternative interpretation that an evaluative match between a positive stimulus (an attractive face) and a positive response (“familiar”) accounts for this effect in the absence of any misattribution. In a face recognition task, participants were led to signal their sense of familiarity with previously seen and unseen faces by selecting either a pleasant (affectively congruent) or unpleasant (affectively incongruent) image. Consistent with the warm glow heuristic, higher false alarm rates were obtained for more attractive distracters, and this effect survived (and was, if anything, stronger) when an affectively incongruent response format was used. These findings are discussed in the context of current face memory and perceptual fluency models.     

On models and vases: body dissatisfaction and proneness to social comparison effects

When and why do media-portrayed physically attractive women affect perceivers' self-evaluations? In 6 studies, the authors showed that whether such images affect self-evaluations depends jointly on target features and perceiver features. In Study 1, exposure to a physically attractive target, compared with exposure to an equally attractive model, lowered women's self-evaluations. Study 2 showed that body-dissatisfied women, to a greater extent than body-satisfied women, report that they compare their bodies with other women's bodies. In Study 3, body-dissatisfied women, but not body-satisfied women, were affected by both attractive models and nonmodels. Furthermore, in Study 4, it was body-dissatisfied women, rather than body-satisfied women, who evaluated themselves negatively after exposure to a thin (versus a fat) vase. The authors replicated this result in Study 5 by manipulating, instead of measuring, body dissatisfaction. Finally, Study 6 results suggested that body dissatisfaction increases proneness to social comparison effects because body dissatisfaction increases self-activation.     

Prior sensitivity in theory testing: An apologia for the Bayes factor

A commonly voiced concern with the Bayes factor is that, unlike many other Bayesian and non-Bayesian quantitative measures of model evaluation, it is highly sensitive to the parameter prior. This paper argues that, when dealing with psychological models that are quantitatively instantiated theories, being sensitive to the prior is an attractive feature of a model evaluation measure. This assertion follows from the observation that in psychological models parameters are not completely unknown, but correspond to psychological variables about which theory often exists. This theory can be formally captured in the prior range and prior distribution of the parameters, indicating which parameter values are allowed, likely, unlikely and forbidden. Because the prior is a vehicle for expressing psychological theory, it should, like the model equation, be considered as an integral part of the model. It is argued that the combined practice of building models using informative priors, and evaluating models using prior sensitive measures advances knowledge.     

Fourier analysis of reaction time data

The popularity of the assumption of stages in models of the reaction time process and the availability of fast and efficient means of computing approximations to the Fourier transform makes the Fourier analysis of reaction time data attractive. This paper indicates some problems associated with such analyses and suggests convenient ways to overcome some of the difficulties.     

On adaptation, maximization, and reinforcement learning among cognitive strategies

Analysis of binary choice behavior in iterated tasks with immediate feedback reveals robust deviations from maximization that can be described as indications of 3 effects: (a) a payoff variability effect, in which high payoff variability seems to move choice behavior toward random choice; (b) underweighting of rare events, in which alternatives that yield the best payoffs most of the time are attractive even when they are associated with a lower expected return; and (c) loss aversion, in which alternatives that minimize the probability of losses can be more attractive than those that maximize expected payoffs. The results are closer to probability matching than to maximization. Best approximation is provided with a model of reinforcement learning among cognitive strategies (RELACS). This model captures the 3 deviations, the learning curves, and the effect of information on uncertainty avoidance. It outperforms other models in fitting the data and in predicting behavior in other experiments.     

Bayesian Model Comparison for the Order Restricted RC Association Model

Association models constitute an attractive alternative to the usual log-linear models for modeling the dependence between classification variables. They impose special structure on the underlying association by assigning scores on the levels of each classification variable, which can be fixed or parametric. Under the general row-column (RC) association model, both row and column scores are unknown parameters without any restriction concerning their ordinality. However, when the classification variables are ordinal, order restrictions on the scores arise naturally. Under such restrictions, we adopt an alternative parameterization and draw inferences about the equality of adjacent scores using the Bayesian approach. To achieve that, we have constructed a reversible jump Markov chain Monte Carlo algorithm for moving across models of different dimension and estimate accurately the posterior model probabilities which can be used either for model comparison or for model averaging. The proposed methodology is evaluated through a simulation study and illustrated using actual datasets.     

Prior distributions on symmetric groups

Fully and partially ranked data arise in a variety of contexts. From a Bayesian perspective, attention has focused on distance-based models; in particular, the Mallows model and extensions thereof. In this paper, a class of prior distributions, the Binary Tree, is developed on the symmetric group. The attractive features of the class are: it provides a closed-form solution to the posterior distribution; and a simple way to interpret the parameters of the prior distribution. The advantages of the proposed method are illustrated by comparing it to metric-based models using data analyzed by other researchers in this context.This revised article was published online in August 2005 with the PDF paginated correctly.