A method for obtaining an ordered metric scale

A method is presented for collecting data which will yield a scale on which the entities are ranked in preference (ordinality), the distances between the entities on the scale are ranked (ordered metric), and all combinations of the distances are ranked (higher-ordered metric). The sources drawn upon are von Neumann and Morgenstern (9), and lattice theory. An empirical example is given in which a higher-ordered metric scale is derived.I am grateful to Professor William L. Lepley (Department of Psychology) and Professor Jack R. Tessman (Department of Physics) for their critical reading of this paper. Paul Hurst and Robert Radlow participated in many discussions on the form of measurement discussed in this paper, and assisted in collecting data. I am also grateful to Professor T. C. Benton (Department of Mathematics) for certain source materials.     

Nodule Detection with Eye Movements

Radiologists often miss nodules that may represent lung cancer on chest radiographs. We investigated whether eye movements collected during the search for lung nodules by large samples of laypeople may provide information that could assist radiologists in their detection. For that purpose, we developed a partially invisible Markov model with partially unobserved states and analyzed eye tracking data of over 100 laypeople who reviewed 14 chest X‐ray images, of which seven contained a potentially cancerous nodule. We used the luminance value of the pixels in the X‐ray images as prior information on the possible location of a nodule and identified six regions of interest on each image that may contain a nodule. Our study demonstrated that the eye movements recorded from laypersons contained information that may assist radiologists in the detection of nodules in chest X‐rays, which has important implications for crowdsourcing of search for pulmonary nodules, which are discussed. Copyright © 2016 John Wiley & Sons, Ltd.     

A conceptual replication examining the risk of overtly listing eligibility criteria on Amazon’s Mechanical Turk

Recent scholarship indicates that explicitly listing eligibility requirements on Amazon’s Mechanical Turk can lead to eligibility falsification. Offering a conceptual replication of prior studies, we assessed the prevalence of eligibility falsification and its impact on data integrity. A screener survey collected the summer before the 2016 presidential election assessed political affiliation. Participants were then randomly assigned to be exposed to a second survey link for which they were eligible or ineligible. There was a significant interaction such that the differences between self‐reported Republicans and Democrats on outcome measures (e.g., attitudes toward Hillary Clinton), were smaller among participants that were falsifying eligibility (i.e., imposters) than those that were not (i.e., genuine participants). Moreover, for most outcomes, imposters put forth responses that were significantly different from the responses put forth by those in the political party with which imposters were pretending to be affiliated. Imposters’ responses were also significantly different from participants in the political party with which imposters initially claimed to genuinely belong. For example, those who self‐reported themselves as Democrats on the screener survey but responded to a survey for “only Republicans” (i.e., imposter Republicans), reported more favorable attitudes toward Donald Trump than genuine Democrats, but indicated less favorable attitudes toward Donald Trump than genuine Republicans. These results highlight the potential harms of explicitly listing eligibility requirements and emphasize the importance of minimizing imposter participation.     

Headphone screening to facilitate web-based auditory experiments

Psychophysical experiments conducted remotely over the internet permit data collection from large numbers of participants but sacrifice control over sound presentation and therefore are not widely employed in hearing research. To help standardize online sound presentation, we introduce a brief psychophysical test for determining whether online experiment participants are wearing headphones. Listeners judge which of three pure tones is quietest, with one of the tones presented 180° out of phase across the stereo channels. This task is intended to be easy over headphones but difficult over loudspeakers due to phase-cancellation. We validated the test in the lab by testing listeners known to be wearing headphones or listening over loudspeakers. The screening test was effective and efficient, discriminating between the two modes of listening with a small number of trials. When run online, a bimodal distribution of scores was obtained, suggesting that some participants performed the task over loudspeakers despite instructions to use headphones. The ability to detect and screen out these participants mitigates concerns over sound quality for online experiments, a first step toward opening auditory perceptual research to the possibilities afforded by crowdsourcing.     

Drug Tolerance, Drug Addiction, and Drug Anticipation

ABSTRACT— Environmental cues associated with drugs often elicit withdrawal symptoms and relapse to drug use. Such cues also modulate drug tolerance. The contribution of drug-associated stimuli to withdrawal and tolerance is emphasized in a Pavlovian-conditioning analysis of drug administration. Conditional responses occur in the presence of cues that have been associated with the drug in the past, such as the setting in which the drug was taken. These conditional responses mediate the expression of tolerance and withdrawal symptoms. Recently, it has become apparent that internal predrug cues, as well as environmental cues, elicit pharmacological conditional responses that contribute to tolerance and withdrawal. Such internal cues include cognitive or proprioceptive cues incidental to self-administration, drug-onset cues that are experienced shortly after administration, and emotional cues. According to the conditioning analysis, addiction treatment should incorporate learning principles to extinguish the association between stimuli (environmental and internal) present at the time of drug administration and the effects of the addictive drug.     

Very brief exposure II: the effects of unreportable stimuli on reducing phobic behavior

This experiment compared the effects of exposure to masked phobic stimuli at a very brief stimulus-onset asynchrony on spider-phobic and non-phobic individuals. Participants were identified through a widely used questionnaire and a Behavioral Avoidance Test (BAT) with a live, caged tarantula to establish baseline levels of avoidance. One week later, they were individually administered one of two continuous series of masked images: spiders or flowers. Preliminary masking experiments showed that independent samples of participants from the same populations failed to recognize these stimuli. Participants in the main experiment reported ratings of subjective distress immediately before and after the exposure manipulation. Then they engaged in the BAT once again. Very brief exposure to images of spiders reduced phobic participants' avoidance of the tarantula. No effects were evidenced on subjective distress, or on non-phobic participants. Theoretical implications for the non-conscious basis of fear are discussed.