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Our study compared the impact of administering Symptom Validity Tests (SVTs) and Performance Validity Tests (PVTs) in in-person versus remote formats and assessed different approaches to combining validity test results. Using the MMPI-2-RF, IOP-29, IOP-M, and FIT, we assessed 164 adults, with half instructed to feign mild traumatic brain injury (mTBI) and half to respond honestly. Within each subgroup, half completed the tests in person, and the other half completed them online via videoconferencing. Results from 2 ×2 analyses of variance showed no significant effects of administration format on SVT and PVT scores. When comparing feigners to controls, the MMPI-2-RF RBS exhibited the largest effect size (d = 3.05) among all examined measures. Accordingly, we conducted a series of two-step hierarchical logistic regression models by entering the MMPI-2-RF RBS first, followed by each other SVT and PVT individually. We found that the IOP-29 and IOP-M were the only measures that yielded incremental validity beyond the effects of the MMPI-2-RF RBS in predicting group membership. Taken together, these findings suggest that administering these SVTs and PVTs in-person or remotely yields similar results, and the combination of MMPI and IOP indexes might be particularly effective in identifying feigned mTBI. [ABSTRACT FROM AUTHOR]

This study examined the effectiveness of the negative distortion measures from the Personality Assessment Inventory (PAI) and Inventory of Problems-29 (IOP-29), by investigating data from a community and a forensic sample, across three different symptom presentations (i.e., feigned depression, posttraumatic stress disorder [PTSD], and schizophrenia). The final sample consisted of 513 community-based individuals and 288 inmates (total N = 801); all were administered the PAI and the IOP-29 in an honest or feigning conditions. Statistical analyses compared the average scores of each measure by symptom presentation and data source (i.e., community vs. forensic sample) and evaluated diagnostic efficiency statistics. Results suggest that the PAI Negative Impression Management scale and the IOP-29 are the most effective measures across all symptom presentations, whereas the PAI Malingering Index and Rogers Discriminant Function generated less optimal results, especially when considering feigned PTSD. Practical implications are discussed. [ABSTRACT FROM AUTHOR]

Personality traits play a role in prosocial behavior in relation to containment measures intended to tackle the COVID‐19 pandemic. Empirical findings indicated that individuals high in socially aversive traits such as callousness are less compliant with containment measures. This study aimed to add cross‐cultural data on the relationship between antisocial traits and adherence to COVID‐19 containment measures. The sample consisted of 4,538 adults recruited by convenience in nine countries (Australia, Brazil, England, Iraq, Iran, Italy, Jordan, Saudi Arabia, and the United States). Statistical analyses indicated two latent profiles from our sample, empathic and antisocial, and six COVID‐19 containment‐measure‐related factors using measures covering antisocial traits (PID‐5), empathy (ACME), global personality pathology (LPFS‐BF), and COVID‐19 behaviors and beliefs. Through MANCOVA, the antisocial profile consistently showed less compliance and concern about the COVID‐19 containment measures, even when controlling for demographics and local pandemic covariables. The network analysis indicated a lack of empathy and callousness as crucial traits of the predisposition to non‐compliant behavior. In elaborating on prosocial campaigns in community emergencies, our cross‐cultural findings would need to consider personality traits that focus on antisociality, anticipating similar associations and potential impacts in future disease outbreaks. [ABSTRACT FROM AUTHOR]

Self-reports could be affected by 2 primary sources of distortion: content-related (CRD) and content-unrelated (CUD) distortions. CRD and CUD, however, might covary, and similar detection strategies have been used to capture both. Thus, we hypothesized that a scale developed to detect random responding—arguably, one of the most evident examples of CUD—would likely be sensitive to both CUD and, albeit to a lesser extent, CRD. Study 1 (N = 1,901) empirically tested this hypothesis by developing a random responding scale (RRS) for the recently introduced Inventory of Problems–29 (Viglione, Giromini, & Landis, 2017), and by testing it with both experimental feigners and honest controls. Results supported our hypothesis and offered some insight on how to pull apart CRD- from CUD-related variance. Study 2 (N = 700) then evaluated whether our RRS would perform similarly well with data from human participants instructed to respond at random versus computer-generated random data. Interestingly, the sensitivity of our RRS dropped dramatically when considering the data from human participants. Together with the results of additional analyses inspecting the patterns of responses provided by our human random responders, these findings thus posed a major question: Is humans' random responding really random? [ABSTRACT FROM AUTHOR]

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The Inventory of Problems–29 (IOP–29) is a newly developed, self-administered test designed to assist practitioners evaluating the credibility of various symptom presentations. In a recent simulation study comparing real patients against experimental feigners, its classification accuracy compared favorably with that of the Structured Inventory of Malingered Symptomatology and generalized better to different types of symptom reports (i.e., mood- or trauma-related vs. psychosis-related). Extending on these findings, this sensitivity study tested whether the IOP–29 would be similarly accurate in detecting feigning of conditions related to depression, mild traumatic brain injury, posttraumatic stress disorder (PTSD), and schizophrenia. Additionally, it also evaluated the susceptibility of the IOP–29 to uncooperative or random-like responding. Examination of 1,200 IOP–29 records from 400 nonclinical Italian volunteers who took the Italian version of the IOP–29 3 times, in 3 different conditions (i.e., standard instructions, feigned disorder, and random-like responding), confirmed that the IOP–29 might be similarly valid across a wide variety of mental health and cognitive complaints. Indeed, using the standard a priori cutoff of the IOP–29 (i.e., ≥.50), sensitivity estimates ranged from.86 (for feigned PTSD) to.95 (for feigned depression) and did not significantly differ from one symptom presentation to another. These findings were obtained despite the fact that participants were coached to respond in a believable manner. Interestingly, the random-like responding generated extremely variable IOP–29 scores. [ABSTRACT FROM AUTHOR]

By using the Rorschach test, self-reports, and psychophysiological measures, we investigated thoroughly the psychological functioning in a hyperhidrotic case. Erica, a young female with hyperhidrosis, was assessed in three times at one-week distance. First, specific tools assessing potential psychological and affective distress, and the Rorschach test were administered. About one week later, Electrodermal Activity was recorded during the exposure to a mild laboratory stress-inducing task. Finally, a magnetic resonance imaging exam was performed in order to exclude medical conditions/neurological alterations for potential physiological anomalies. Erica tends to avoid living in the moment and prefers to experience close relationships in her inner world where she can rehearse the future and imagine different contexts and social situations without risks and embarrassment. She reports high capacities to perform goaldirected behaviors and clarity of emotions only in absence of stressful situations. The study has the merit to be the first to combine Rorschach data with physiological data in order to investigate the psychological functioning in a hyperhidrotic case. [ABSTRACT FROM AUTHOR]

Learning to code the imagery, communication, and behavior associated with Rorschach responding is challenging. Although there is some survey research on graduate students' impressions of their Rorschach training, research has not identified which coding decisions students find to be the most problematic and time-consuming. We surveyed students to identify what they struggled with most when learning coding and to quantify how difficult it is to learn how to code. Participants (n = 191) from the United States, Brazil, Denmark, Israel, and Italy rated 57 aspects of coding using a 4-point scale that encompassed both the time required to code and the subjective difficulty of doing so. Mean ratings for coding in general indicated that students considered the overall task challenging. Ratings also revealed that students struggled most with Cognitive Special Scores, Determinants, and extrapolating from the tables to code Form Quality for objects that were not specifically listed. The findings offer suggestions about how to improve the guidelines for some of the more difficult variables and where it is most necessary to focus teaching time. Taking these steps might help new students in learning the Rorschach. [ABSTRACT FROM AUTHOR]