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Abstract
Stigmatization and societal punitiveness about pedophilia have a range of potential
consequences, such as the social isolation of people with sexual interest in children,
and the formation of policies that are not consistent with empirical research findings.
Previous research has shown that people with pedophilic sexual interests use societal
thinking to self-stigmatize, which in turn may actually serve to increase their risk
of committing a sexual offense. In this study, we compared two attitudinal interventions
(first-person narrative vs. expert opinion) using a student sample ( N = 100). It
was hypothesized that both interventions would lead to reductions in stigmatization
and punitive attitudes about pedophiles on an explicit (self-report) level but that
only the narrative intervention would lead to reductions of these constructs at the
implicit level. Our findings supported both hypotheses. We further discuss the role
of narrative humanization in this area and offer suggestions for further research
based upon the theoretical and methodological implications of the findings.
In the present article, we present a software package, MouseTracker, that allows researchers to use a computer mouse-tracking method for assessing real-time processing in psychological tasks. By recording the streaming x-, y-coordinates of the computer mouse while participants move the mouse into one of multiple response alternatives, motor dynamics of the hand can reveal the time course of mental processes. MouseTracker provides researchers with fine-grained information about the real-time evolution of participant responses by sampling 60-75 times/sec the online competition between multiple response alternatives. MouseTracker allows researchers to develop and run experiments and subsequently analyze mouse trajectories in a user-interactive, graphics-based environment. Experiments may incorporate images, letter strings, and sounds. Mouse trajectories can be processed, averaged, visualized, and explored, and measures of spatial attraction/curvature, complexity, velocity, and acceleration can be computed. We describe the software and the method, and we provide details on mouse trajectory analysis. We validate the software by demonstrating the accuracy and reliability of its trajectory and reaction time data. The latest version of MouseTracker is freely available at http://mousetracker.jbfreeman.net.
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