Notes

Analysis along with treatments for contaminated arthroplasty.
Response bias potential impact on police officer performance predictions was discussed. (PsycInfo Database Record (c) 2021 APA, all rights reserved).Veterans face a variety of stressors due to their military service and are more likely to develop psychological problems as a result. Research suggests that as many as half of veterans with mental health conditions go untreated due to barriers including lack of accessibility to services and stigma. The present study builds on previous research by using meta-analytic techniques to determine the effectiveness of telepsychology-delivered therapy with veterans. Empirical studies were included if they reported veteran-related outcome data on a psychological intervention used to treat a mental health condition remotely using either videoconferencing or telephone. Twenty-seven studies including 2,648 total participants (1,667 in treatment conditions and 981 in control conditions) met our inclusion criteria and were incorporated into our analysis. this website Twenty-five studies provided pre-post data to evaluate various therapy outcomes, and 18 studies used a randomized clinical trials (RCTs) design that allowed a comparison between telehealth and traditional in-person therapy. Publication bias was evaluated using correlations between sample and effect sizes for posttraumatic stress disorder (PTSD) and depression for pretest-posttest and RCT designs; risk was determined to be minimal. Weighted average pre-post effect sizes were moderate-to-strong for depression and trauma, and videoconferencing was more effective than telephone for depression (d = 0.86 and 0.46, respectively) and trauma (d = 1.00 and 0.51, respectively). Weighted average effect sizes computed from RCT studies suggest telepsychology is similarly effective as services provided face-to-face. More research is needed for telepsychology-delivered treatments for other mental health conditions faced by veterans. (PsycInfo Database Record (c) 2021 APA, all rights reserved).The attentional blink (AB) paradigm has been used to address an enduring debate about the nature of conscious perception Does the temporary impairment in conscious perception of the second (T2) of two serially presented targets result from a probabilistic all-or-none loss of information, or does T2 transition into consciousness along a continuum of perceptual fidelity? To investigate this question, we presented noisy orientation patterns as targets embedded in a rapid serial sequence of nonoriented noise distractors, and evaluated perception of T2 orientation using a continuous report paradigm. Using discrete mixture models and variable resource models, we evaluated the effects of manipulating both perceptual and central demands on the precision of T2 responses and the estimated frequency of random guessing. When perceptual competition between targets was emphasized by their sharing of a common visual feature (i.e., orientation), the attentional blink was associated with degraded precision of T2 perception. By contrast, when the task required switching between different attended features across two visually distinct targets, T2 awareness was impaired in an all-or-none manner as evidenced by significant increases in guessing responses. Both statistical and model comparison analyses indicated that loss of target information can be graded or discrete, depending on whether perceptual or higher central stages are taxed by processing demands. Our findings provide new insights into the mechanisms underlying the attentional blink and help reconcile conflicting views regarding how information can be lost from awareness. (PsycInfo Database Record (c) 2021 APA, all rights reserved).People are good at categorizing the emotions of individuals and crowds of faces. People also make mistakes when classifying emotion. When they do so with judgments of individuals, these errors tend to be negatively biased, potentially serving a protective function. For example, a face with a subtle expression is more likely to be categorized as angry than happy. Yet surprisingly little is known about the errors people make when evaluating multiple faces. We found that perceivers were biased to classify faces as angry, especially when evaluating crowds. This amplified bias depended on uncertainty, occurring when categorization was difficult, and it reached peak intensity for crowds with four members. Drift diffusion modeling revealed the mechanisms behind this bias, including an early response component and more efficient processing of anger from crowds with subtle expressions. Our findings introduce bias as an important new dimension for understanding how perceivers make judgments about crowds. (PsycInfo Database Record (c) 2021 APA, all rights reserved).The formation and maintenance of friendship closeness is an important developmental task in adolescence. To obtain insight in real-time processes that may underly the development of friendship closeness in middle adolescence, this preregistered experience sampling study [ESM] investigated the effects of social media use on friendship closeness. The study was conducted among 387 adolescents (54% girls; Mage = 14.11 years; 96% Dutch) from different educational tracks (44% lower prevocational secondary education, 31% intermediate general secondary education, 26% academic preparatory education). Adolescents reported six times per day for 3 weeks on their Instagram, WhatsApp, and Snapchat use in the previous hour and their momentary experiences of friendship closeness (126 assessments; 34,930 observations). Multilevel analyses revealed positive between-person associations of friendship closeness with general WhatsApp use and Instagram use with close friends. In contrast, at the within-person level, we found small negative overall associations of general WhatsApp use and Instagram use (with and without close friends) with friendship closeness. However, there was large heterogeneity in the person-specific effect sizes of the within-person associations of social media use with friendship closeness. For example, person-specific effect sizes of the association of Instagram use with close friends with friendship closeness ranged from β = -.745 to β = .697. These results underline the importance of acknowledging person-specific effects in developmental and media effect theories. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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