Adolescents’ Exposure to a Sexualized Media Environment and Their Notions of Women as Sex Objects

This study was designed to investigate whether adolescents’ exposure to a sexualized media environment is associated with stronger beliefs that women are sex objects. More specifically, we studied whether the association between notions of women as sex objects and exposure to sexual content of varied explicitness (i.e., sexually non-explicit, semi-explicit, or explicit) and in different formats (i.e., visual and audio-visual) can be better described as cumulative or as hierarchical. Further, we investigated whether this association was contingent on gender. Based on data from an on-line survey of 745 Dutch adolescents aged 13 to 18, we found that the relationship between exposure to a sexualized media environment and notions of women as sex objects followed a hierarchical pattern: Starting with adolescents’ exposure to sexually semi-explicit content, the statistical significance of the relationship with notions of women as sex objects moved from semi-explicit to explicit sexual content and from visual to audio-visual formats. Exposure to sexually explicit material in on-line movies was the only exposure measure significantly related to beliefs that women are sex objects in the final regression model, in which exposure to other forms of sexual content was controlled. The relationship between exposure to a sexualized media environment and notions of women as sex objects did not differ for girls and boys.     

Evaluating dynamic performance: the influence of salient Gestalt characteristics on performance ratings

It is well recognized that performance changes over time. However, the effect of these changes on overall assessments of performance is largely unknown. In a laboratory experiment, we examined the influence of salient Gestalt characteristics of a dynamic performance profile on supervisory ratings. We manipulated performance trend (flat, linear-improving, linear-deteriorating, U-shaped, and inverted U-shaped), performance variation (small, large), and performance mean (negative, zero, positive) within subjects and display format (graphic, tabular) between subjects. Participants received and evaluated information about the weekly performance of different employees over a simulated 26-week period. Results showed strong main effects on performance ratings of both performance mean and performance trend, as well as interactions with display format. Theoretical and practical implications of the results are discussed.     

Computer-mediated communication and interpersonal attraction: an experimental test of two explanatory hypotheses.

The aims of this study were (a) to investigate the influence of computer-mediated communication (CMC) on interpersonal attraction and (b) to examine two underlying processes in the CMC-interpersonal attraction relationship. We identified two variables that may mediate the influence of CMC on interpersonal attraction: self-disclosure and direct questioning. Focusing on these potential mediating variables, we tested two explanatory hypotheses: the CMC-induced direct questioning hypothesis and the CMC-induced self-disclosure hypothesis. Eighty-one cross-sex dyads were randomly assigned to one of three experimental conditions: text-only CMC, visual CMC, and face-to-face communication. We did not find a direct effect of CMC on interpersonal attraction. However, we did find two positive indirect effects of text-only CMC on interpersonal attraction: text-only CMC stimulated both self-disclosure and direct questioning, both of which in turn enhanced interpersonal attraction. Results are discussed in light of uncertainty reduction theory and CMC theories.     

Fast-dm: A free program for efficient diffusion model analysis

In the present article, a flexible and fast computer program, called fast-dm, for diffusion model data analysis is introduced. Fast-dm is free software that can be downloaded from the authors' websites. The program allows estimating all parameters of Ratcliff's (1978) diffusion model from the empirical response time distributions of any binary classification task. Fast-dm is easy to use: it reads input data from simple text files, while program settings are specified by commands in a control file. With fast-dm, complex models can be fitted, where some parameters may vary between experimental conditions, while other parameters are constrained to be equal across conditions. Detailed directions for use of fast-dm are presented, as well as results from three short simulation studies exemplifying the utility of fast-dm.     

Two types of serial dependence in visual working memory

Stimulus representations in working memory depend on memory traces of past stimuli both from previous trials and from the current trial. However, it is unclear whether the same or different mechanisms underlie this serial dependence across and within trials. We directly contrasted estimates of bias for pairs of immediately successive stimuli across and within trials. In each trial, participants memorized two consecutive motion direction stimuli (S1 and S2) and after a short delay were cued to report one of them. We found serial dependence across trials: The current S1 was attracted towards the preceding S2 when the latter had been cued for report. In contrast, within the same trial S2 was repulsed from S1. In addition, repulsion within a trial occurred for a broader range of motion direction differences between stimuli than attraction across trials. A second experiment in which 25% of trials did not require a response demonstrated that across‐trial attraction did not depend on whether the previous S2 actually had to be reported. Our findings provide evidence for two types of serial dependence operating across and within trials. They support the notion of different mechanisms integrating or segregating current from similar past memory contents depending on their task relevance.     

Regional accent variation in the shadowing task: Evidence for a loose perception–action coupling in speech

We investigated the relation between action and perception in speech processing, using the shadowing task, in which participants repeat words they hear. In support of a tight perception–action link, previous work has shown that phonetic details in the stimulus influence the shadowing response. On the other hand, latencies do not seem to suffer if stimulus and response differ in their articulatory properties. The present investigation tested how perception influences production when participants are confronted with regional variation. Results showed that participants often imitate a regional variation if it occurs in the stimulus set but tend to stick to their variant if the stimuli are consistent. Participants were forced or induced to correct by the experimental instructions. Articulatory stimulus–response differences do not lead to latency costs. These data indicate that speech perception does not necessarily recruit the production system.