Empirically Defining Treatment Response and Remission in Obsessive-Compulsive Disorder Using the Obsessive-Compulsive Inventory–Revised

In clinical trials of obsessive-compulsive disorder (OCD), clinical outcomes are generally measured using lengthy clinician-administered interviews. However, in routine clinical practice, many clinicians lack the time to administer such instruments. This study evaluated cutoffs for treatment response and remission in OCD using the self-rated Obsessive-Compulsive Inventory—Revised (OCI-R). Data from 349 patients in three clinical trials of cognitive-behavioral therapy for OCD were pooled for analysis. The OCI-R was compared to gold-standard criteria for response and remission based on the clinician-administered Yale–Brown Obsessive Compulsive Scale and the Clinical Global Impression Scale. The results showed that a ≥40% reduction on the OCI-R was the optimal cutoff for treatment response, with a sensitivity of 0.72 and a specificity of 0.79. For remission status, the optimal cutoff was ≤8 points on the OCI-R, with a sensitivity of 0.57 and specificity of 0.83. Results from additional analyses using the 12-item version of the OCI were similar. These cutoffs provide a simple and time-efficient way to help determine treatment response and remission in OCD when the administration of clinician-administered instruments is unfeasible.     

Intense classification training to increase the detection of drowning swimmers

Lifeguards engage in a continuous process of deciding whether swimmers are in danger or not. The variety of behaviours that distressed swimmers show makes it difficult to impart declarative knowledge to this effect during lifeguard training. As an alternative, we propose a novel training tool that requires novice participants to rapidly categorise 3-s video clips of real-life swimmers as either ‘safe’ or ‘drowning’. A control group also completed a sham intervention, with surfers that may ‘fall’. Due to the complex nature of swimming pools, a scaffolded training approach was employed, which gradually increased the amount of background information over subsequent training rounds. Results demonstrated that the drowning classification training improved responses in a subsequent drowning detection test, compared with the active control-group. The scaffolded approach appeared to prepare participants for processing swimmers in the drowning-detection test. The results provide a foundation for a novel training protocol to improve lifeguard skills.     

Catching the liar as a matter of justice: Effects of belief in a just world on deception detection accuracy and the moderating role of mortality salience

Belief in a just world has been linked to high interpersonal trust and less suspicion of deception. We therefore predicted people with a strong dispositional belief in a just world to have low motivation to accurately detect deception. Accordingly, we hypothesized such a belief to be negatively related to accuracy in deception detection. Furthermore, research on Terror Management Theory has indicated that culturally shared values, such as justice, become more important after mortality salience. Thus, we assumed engaging in justice concerns after a death threat is especially relevant for people with a strong belief in a just world, and further, that accurate deception detection is a matter of justice. Based on this reasoning, we expected people with a strong belief in a just world to have an increased motivation to accurately detect deception after mortality salience. Consequently, we hypothesized dispositional differences in belief in a just world to be unrelated to accuracy in deception detection after mortality salience. In line with these predictions, our study revealed that participants with a strong (vs. weak) belief in a just world were worse in deception detection unless they had first been reminded of their mortality.     

Thresholds for detection and awareness of masked facial stimuli

It has been suggested that perception without awareness can be demonstrated by a dissociation between performance in objective (forced-choice) and subjective (yes–no) tasks, and such dissociations have been reported both for simple stimuli and more complex ones including faces. However, signal detection theory (SDT) indicates that the subjective measures used to assess awareness in such studies can be affected by response bias, which could account for the observed dissociation, and this was confirmed by Balsdon and Azzopardi (2015) using simple visual targets. However, this finding may not apply to all types of stimulus, as the detectability of complex targets such as faces is known to be affected by their configuration as well as by their stimulus energy. We tested this with a comparison of forced-choice and yes–no detection of facial stimuli depicting happy or angry or fearful expressions using a backward masking paradigm, and using SDT methods including correcting for unequal variances in the underlying signal distributions, to measure sensitivity independently of response criterion in 12 normal observers. In 47 out 48 comparisons there was no significant difference between sensitivity (d_a) in the two tasks: hence, across the range of expressions tested it appears that the configuration of complex stimuli does not enhance detectability independently of awareness. The results imply that, on the basis of psychophysical experiments in normal observers, there is no reason to postulate that performance and awareness are mediated by separate processes.     

The role of lexical expertise in reading homophones

In Experiment 1, university students classified on lexical expertise on the basis of spelling plus nonword pronunciation accuracy made lexical decisions to homophones and control words. Homophones were accepted as words more slowly than control words, but lexical experts showed a smaller homophone cost than the less skilled group. In Experiment 2, similarly classified groups showed a large difference in their ability to detect homophones, with the low-expertise group showing a yes bias to high-frequency words, and having difficulty detecting homophones when mate-frequency was low. The results suggest superior use of orthography in the lexical experts and more reliance on semantic information in nonexperts, and support the importance of facility with orthography–phonology mappings in lexical expertise.     

The edge of chaos: A nonlinear view of psychoanalytic technique

The field of nonlinear dynamics (or chaos theory) provides ways to expand concepts of psychoanalytic process that have implications for the technique of psychoanalysis. This paper describes how concepts of “the edge of chaos,” emergence, attractors, and coupled oscillators can help shape analytic technique resulting in an approach to doing analysis which is at the same time freer and more firmly based in an enlarged understanding of the ways in which psychoanalysis works than some current recommendation about technique. Illustrations from a lengthy analysis of an analysand with obsessive‐compulsive disorder show this approach in action.     

The effect of display timing on change blindness in pigeons (Columba livia)

Change blindness is a phenomenon in which even obvious changes in a visual scene may go unnoticed. Recent research has indicated that this phenomenon may not be exclusive to humans. Two experiments investigated change blindness in pigeons, using a variant of the widely‐used flicker task to investigate the influence of display timing on change blindness. Results indicate that the duration of time during which a stimulus display is visible influences change detection accuracy, with the effect due to additional search time. The results are discussed in relation to the value of comparative cognition and cross‐species investigations of behavior.     

Threat perception after the Boston Marathon bombings: The effects of personal relevance and conceptual framing

We examined how the Boston Marathon bombings affected threat perception in the Boston community. In a threat perception task, participants attempted to “shoot” armed targets and avoid shooting unarmed targets. Participants viewing images of the bombings accompanied by affectively negative music and text (e.g., “Terror Strikes Boston”) made more false alarms (i.e., more errors “shooting” unarmed targets) compared to participants viewing the same images accompanied by affectively positive music and text (e.g., “Boston Strong”) and participants who did not view bombing images. This difference appears to be driven by decreased sensitivity (i.e., decreased ability to distinguish guns from non-guns) as opposed to a more liberal bias (i.e., favouring the “shoot” response). Additionally, the more strongly affected the participant was by the bombings, the more their sensitivity was reduced in the negatively framed condition, suggesting that this framing was particularly detrimental to the most vulnerable individuals in the affected community.     

Sequential detection of learning in cognitive diagnosis

In order to look more closely at the many particular skills examinees utilize to answer items, cognitive diagnosis models have received much attention, and perhaps are preferable to item response models that ordinarily involve just one or a few broadly defined skills, when the objective is to hasten learning. If these fine‐grained skills can be identified, a sharpened focus on learning and remediation can be achieved. The focus here is on how to detect when learning has taken place for a particular attribute and efficiently guide a student through a sequence of items to ultimately attain mastery of all attributes while administering as few items as possible. This can be seen as a problem in sequential change‐point detection for which there is a long history and a well‐developed literature. Though some ad hoc rules for determining learning may be used, such as stopping after M consecutive items have been successfully answered, more efficient methods that are optimal under various conditions are available. The CUSUM, Shiryaev–Roberts and Shiryaev procedures can dramatically reduce the time required to detect learning while maintaining rigorous Type I error control, and they are studied in this context through simulation. Future directions for modelling and detection of learning are discussed.