786 resultados para Behavioral psychology|Management|Finance
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ABSTRACT Hope is increasingly recognized as an important psychological resource for career development, yet the empirical research on its functioning in this domain is sparse. This paper describes an investigation of how dispositional hope is related to career decidedness, career planning, and career self-efficacy beliefs and whether these more proximal career attitudes mediate the effects of hope on proactive career behaviors, life satisfaction, and job satisfaction. This investigation was conducted using two independent samples of university students (N = 1,334) and working professionals (N = 233). The results showed that in both samples, hope was significantly related but empirically distinct from career variables. In both samples, hope had a direct effect on proactive career behaviors, partially mediated by more career planning. Hope had significant direct and indirect effects on life satisfaction among students, mediated by the three career development attitudes. Although hope was significantly correlated with job satisfaction among employees, no direct effect of hope was found in the mediation model, but an indirect effect through career decidedness was found. The results suggest that hope is an important resource for proactive career development at different career stages and that the positive relation of hope to life and job satisfaction can partially be attributed to the positive relation between hope and favorable career development attitudes.
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Results on the effectiveness of psychosocial treatments for patients with comorbid psychiatric and substance use disorders (dual disorders) will be discussed based on relevant meta-analyses and comprehensive reviews. Findings pertaining to severe (e.g., schizophrenia) and mild to moderate (e.g., anxiety disorders) dual disorders will be presented. The heterogeneity in patient characteristics, treatments, settings, and measured outcomes within the studies hinders the extraction of simple conclusions regarding how to effectively integrate psychiatric and addiction-oriented services into one psychosocial treatment. However, promising treatment strategies and interventions include integrative programs that comprise motivational interviewing; disorder-specific cognitive-behavioral interventions; substance use reduction interventions such as relapse prevention or contingency management; and/or family interventions. Such programs are generally superior to control groups (e.g., waiting list, treatment as usual) and are sometimes superior to other active treatments (e.g., skills training) in outcomes of substance use, psychiatric disorders, and social functioning.
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Numerous studies reported a strong link between working memory capacity (WMC) and fluid intelligence (Gf), although views differ in respect to how close these two constructs are related to each other. In the present study, we used a WMC task with five levels of task demands to assess the relationship between WMC and Gf by means of a new methodological approach referred to as fixed-links modeling. Fixed-links models belong to the family of confirmatory factor analysis (CFA) and are of particular interest for experimental, repeated-measures designs. With this technique, processes systematically varying across task conditions can be disentangled from processes unaffected by the experimental manipulation. Proceeding from the assumption that experimental manipulation in a WMC task leads to increasing demands on WMC, the processes systematically varying across task conditions can be assumed to be WMC-specific. Processes not varying across task conditions, on the other hand, are probably independent of WMC. Fixed-links models allow for representing these two kinds of processes by two independent latent variables. In contrast to traditional CFA where a common latent variable is derived from the different task conditions, fixed-links models facilitate a more precise or purified representation of the WMC-related processes of interest. By using fixed-links modeling to analyze data of 200 participants, we identified a non-experimental latent variable, representing processes that remained constant irrespective of the WMC task conditions, and an experimental latent variable which reflected processes that varied as a function of experimental manipulation. This latter variable represents the increasing demands on WMC and, hence, was considered a purified measure of WMC controlled for the constant processes. Fixed-links modeling showed that both the purified measure of WMC (β = .48) as well as the constant processes involved in the task (β = .45) were related to Gf. Taken together, these two latent variables explained the same portion of variance of Gf as a single latent variable obtained by traditional CFA (β = .65) indicating that traditional CFA causes an overestimation of the effective relationship between WMC and Gf. Thus, fixed-links modeling provides a feasible method for a more valid investigation of the functional relationship between specific constructs.
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Dieses Buchkapitel vermittelt einen Überblick über die aktuellen wissenschaftlichen Befunde zur Wirksamkeit von Diversity Trainings. Es zeigt auf, dass trotz der sehr unterschiedlichen Ausgestaltung von Diversity Trainings in der Praxis, diese Trainings im Prinzip wirksam sind. Das heisst, Diversity Trainings können Wissen und Fähigkeiten über den Inhalt und das Ziel von Diversity Strategien effizient vermitteln, Einstellungen gegenüber Diversity verbessern sowie auch positive Verhaltensänderungen im Umgang mit Personen aus diversen sozialen Gruppen herbeiführen. Dieses Buchkapitel zeigt aber auch auf, dass die Wirksamkeit von Diversity Trainings stark von einer Reihe weiterer Faktoren abhängt (z.B. Fokus des Trainings oder Teilnahmebedingungen) sowie auch paradoxe und unerwünschte „Nebenwirkungen“ haben können. Werden solche Aspekte berücksichtigt, sind Diversity Trainings eine sinnvolle und wirksame Massnahme zur Umsetzung einer übergreifenden Diversity Management Strategie.
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Die Finanzfluesse in oeffentlichen Haushalten sind heute hochkomplexe Gebilde. Mit interaktiven Visualisierungen können oeffentliche Finanzen transparenter und verstaendlicher werden. Diese sogenannten Open Finance Apps helfen mit, dass sich Bevoelkerung und Politik rasch ein objektives Bild der relevanten Finanzen verschaffen und vertiefte Informationen abrufen koennen. Immer haeufiger werden Open Finance Apps auch für partizipative und kollaborative Projekte eingesetzt.
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The attentional blink (AB) is a fundamental limitation of the ability to select relevant information from irrelevant information. It can be observed with the detection rate in an AB task as well as with the corresponding P300 amplitude of the event-related potential. In previous research, however, correlations between these two levels of observation were weak and rather inconsistent. A possible explanation of this finding might be that multiple processes underlie the AB and, thus, obscure a possible relationship between AB-related detection rate and the corresponding P300 amplitude. The present study investigated this assumption by applying a fixed-links modeling approach to represent behavioral individual differences in the AB as a latent variable. Concurrently, this approach enabled us to control for additional sources of variance in AB performance by deriving two additional latent variables. The correlation between the latent variable reflecting behavioral individual differences in AB magnitude and a corresponding latent variable derived from the P300 amplitude was high (r=.70). Furthermore, this correlation was considerably stronger than the correlations of other behavioral measures of the AB magnitude with their psychophysiological counterparts (all rs<.40). Our findings clearly indicate that the systematic disentangling of various sources of variance by utilizing the fixed-links modeling approach is a promising tool to investigate behavioral individual differences in the AB and possible psychophysiological correlates of these individual differences.
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The mental speed approach explains individual differences in intelligence by faster information processing in individuals with higher compared to lower intelligence - especially in elementary cognitive tasks (ECTs). One of the most examined ECTs is the Hick paradigm. The present study aimed to contrast reaction time (RT) and P3 latency in a Hick task as predictors of intelligence. Although both, RT and P3 latency, are commonly used as indicators of mental speed, it is also known that they measure different aspects of information processing. Participants were 113 female students. RT and P3 latency were measured while participants completed the Hick task with four levels of complexity. Intelligence was assessed with Cattell's Culture Fair Test. A RT factor and a P3 factor were extracted by employing a PCA across complexity levels. There was no significant correlation between the factors. Commonality analysis was used to determine the proportions of unique and shared variance in intelligence explained by the RT and P3 latency factors. RT and P3 latency explained 5.5% and 5% of unique variance in intelligence. However, the two speed factors did not explain a significant portion of shared variance. This result suggests that RT and P3 latency in the Hick paradigm are measuring different aspects of information processing that explain different parts of variance in intelligence.
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Background: The efficacy of cognitive behavioral therapy (CBT) for the treatment of depressive disorders has been demonstrated in many randomized controlled trials (RCTs). This study investigated whether for CBT similar effects can be expected under routine care conditions when the patients are comparable to those examined in RCTs. Method: N=574 CBT patients from an outpatient clinic were stepwise matched to the patients undergoing CBT in the National Institute of Mental Health Treatment of Depression Collaborative Research Program (TDCRP). First, the exclusion criteria of the RCT were applied to the naturalistic sample of the outpatient clinic. Second, propensity score matching (PSM) was used to adjust the remaining naturalistic sample on the basis of baseline covariate distributions. Matched samples were then compared regarding treatment effects using effect sizes, average treatment effect on the treated (ATT) and recovery rates. Results: CBT in the adjusted naturalistic subsample was as effective as in the RCT. However, treatments lasted significantly longer under routine care conditions. Limitations: The samples included only a limited amount of common predictor variables and stemmed from different countries. There might be additional covariates, which could potentially further improve the matching between the samples. Conclusions: CBT for depression in clinical practice might be equally effective as manual-based treatments in RCTs when they are applied to comparable patients. The fact that similar effects under routine conditions were reached with more sessions, however, points to the potential to optimize treatments in clinical practice with respect to their efficiency.
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Public preferences for policy are formed in a little-understood process that is not adequately described by traditional economic theory of choice. In this paper I suggest that U.S. aggregate support for health reform can be modeled as tradeoffs among a small number of behavioral values and the stage of policy development. The theory underlying the model is based on Samuelson, et al.'s (1986) work and Wilke's (1991) elaboration of it as the Greed/Efficiency/Fairness (GEF) hypothesis of motivation in the management of resource dilemmas, and behavioral economics informed by Kahneman and Thaler's prospect theory. ^ The model developed in this paper employs ordered probit econometric techniques applied to data derived from U.S. polls taken from 1990 to mid-2003 that measured support for health reform proposals. Outcome data are four-tiered Likert counts; independent variables are dummies representing the presence or absence of operationalizations of each behavioral variable, along with an integer representing policy process stage. Marginal effects of each independent variable predict how support levels change on triggering that variable. Model estimation results indicate a vanishingly small likelihood that all coefficients are zero and all variables have signs expected from model theory. ^ Three hypotheses were tested: support will drain from health reform policy as it becomes increasingly well-articulated and approaches enactment; reforms appealing to fairness through universal health coverage will enjoy a higher degree of support than those targeted more narrowly; health reforms calling for government operation of the health finance system will achieve lower support than those that do not. Model results support the first and last hypotheses. Contrary to expectations, universal health care proposals did not provide incremental support beyond those targeted to “deserving” populations—children, elderly, working families. In addition, loss of autonomy (e.g. restrictions on choice of care giver) is found to be the “third rail” of health reform with significantly-reduced support. When applied to a hypothetical health reform in which an employer-mandated Medical Savings Account policy is the centerpiece, the model predicts support that may be insufficient to enactment. These results indicate that the method developed in the paper may prove valuable to health policy designers. ^
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Several genetic linkage and epidemiological studies have provided strong evidence that DCDC2 is a candidate gene for developmental dyslexia, a disorder that impairs a person’s reading ability despite adequate intelligence, education, and socio-economic status. Studies investigating embryonic intra-ventricular RNA interference (RNAi) of Dcdc2, a rat homolog of the DCDC2 gene in humans, indicate disruptions in neuronal migration in the rat cortex during development. Interestingly, these anatomical anomalies are consistent with post mortem histological analysis of human dyslexic patients. Other rodent models of cortical developmental disruption have shown impairment in rapid auditory processing and learning maze tasks in affected subjects. The current study investigates the rapid auditory processing abilities of mice heterozygous for Dcdc2 (one functioning Dcdc2 allele) and mice with a homozygous knockout of Dcdc2 (no functioning Dcdc2 allele). It is important to note that this genetic model for behavioral assessment is still in the pilot stage. However, preliminary results suggest that mice with a genetic mutation of Dcdc2 have impaired rapid auditory processing, as well as non-spatial maze learning and memory ability, as compared to wildtypes. By genetically knocking out Dcdc2 in mice, behavioral features associated with Dcdc2 can be characterized, along with other neurological abnormalities that may arise due to the loss of the functioning gene.
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This study examined gender differences in emotional and behavioral responses to an experience of being invisible to others. Invisibility was defined as being ignored, slighted and overlooked by others. Participants recalled their own experience and answered questions about it and their responses on an anonymous web-based survey. Although such experiences could be very unpleasant, people may respond to such negative experiences very differently. It was hypothesized that in a patriarchal society like the United States in which men hold more power than women, that men would show emotion that was more aggressive such as anger, and respond more violently to incidents they were not respected. Women, on the other hand, were expected to be more subservient in their behavior and responses, show submissive emotions such as sadness, and respond less violently when they were not respected.
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Opioids remain the drugs of choice in chronic pain treatment, but opioid tolerance, defined as a decrease in analgesic effect after prolonged or repeated use, dramatically limits their clinical utility. Opioid tolerance has classically been studied by implanting spinal catheters in animals for drug administration. This procedure has significant morbidity and mortality, as well as causing an inflammatory response which decreases the potency of opioid analgesia and possibly affects tolerance development. Therefore, we developed and validated a new method, intermittent lumbar puncture (Dautzenberg et al.), for the study of opioid analgesia and tolerance. Using this method, opioid tolerance was reliably induced without detectable morbidity. The dose of morphine needed to induce analgesia and tolerance using this method was about 100-fold lower than that required when using an intrathecal catheter. Only slight inflammation was found at the injection site, dissipated within seven mm. ^ DAMGO, an opioid μ receptor agonist, has been reported to inhibit morphine tolerance, but results from different studies are inconclusive. We evaluated the effect of DAMGO on morphine tolerance using our newly-developed ILP method, as well as other intrathecal catheter paradigms. We found that co-administration of sub-analgesic DAMGO with morphine using ILP did not inhibit morphine tolerance, but instead blocked the analgesic effects of morphine. Tolerance to morphine still developed. Tolerance to morphine can only be blocked by sub-analgesic dose of DAMGO when administered in a lumbar catheter, but not in cervical catheter settings. ^ Finally, we evaluated the effects of Gabapentin (GBP) on analgesia and morphine tolerance. We demonstrated that GBP enhanced analgesia mediated by both subanalgesic and analgesic doses of morphine although GBP itself was not analgesic. GBP increased potency and efficacy of morphine. GBP inhibited the expression, but not the development, of morphine tolerance. GBP blocked tolerance to analgesic morphine but not to subanalgesic morphine. GBP reversed the expression of morphine tolerance even after tolerance was established. These studies may begin to provide new insights into mechanisms of morphine tolerance development and improve clinical chronic pain management. ^