The role of attentional resources in automatic detection

The question of whether an automatic detection task requires the use of limited-capacity resources was investigated in a series of dual-task experiments. The automatic task required subjects to detect a consistently mapped target digit in a display of letters. This task was paired with a variety of concurrent visual discriminations that could either occur in close proximity to the automatic target or in a disparate display area. The main finding was that accuracy in each task was higher in conditions allowing attention to be shared than when it had to be divided between separate areas. These results indicate that detection of automatic targets depends on the allocation of spatial attention to the target's area.     

Does Complex or Simple Rhetoric Win Elections? An Integrative Complexity Analysis of U.S. Presidential Campaigns

Research suggests that the integrative complexity of political rhetoric tends to drop during election season, but little research to date directly addresses if this drop in complexity serves to increase or decrease electoral success. The two present studies help fill this gap. Study 1 demonstrates that, during the Democratic Party primary debates in 2003–2004, the eventual winners of the party nomination showed a steeper drop in integrative complexity as the election season progressed than nonwinning candidates. Study 2 presents laboratory evidence from the most recent presidential campaign demonstrating that, while the complexity of Obama's rhetoric had little impact on college students' subsequent intentions to vote for him, the complexity of McCain's rhetoric was significantly positively correlated with their likelihood of voting for him. Taken together, this research is inconsistent with an unqualified simple is effective view of the complexity‐success relationship. Rather, it is more consistent with a compensatory view: Effective use of complexity (or simplicity) may compensate for perceived weaknesses. Thus, appropriately timed shifts in complexity levels, and/or violations of negative expectations relevant to complexity, may be an effective means of winning elections. Surprisingly, mere simplicity as such seems largely ineffective.     

Automated Integrative Complexity: Current Challenges and Future Directions

Automating integrative complexity is fraught with many challenges. To address these challenges, we discuss the tension between a specificity approach and a more flexible multiple‐pass approach, the multifaceted nature of the complexity construct, the gold standard for complexity measurement, the difficulty of human scoring and its consequences for automation, and some ways forward for creating the best complexity measurements. In so doing, we present new data demonstrating (1) initial evidence for the validity of a new automated system for measuring two different forms of complexity (elaborative and dialectical), (2) the danger of constructing measurements in a purely ad hoc fashion that ignores prospective testing, (3) human‐to‐computer correspondence is in part a function of human‐to‐human correspondence, (4) human‐to‐computer correspondence increases systematically as one uses tests with larger units of analysis, and (5) the lack of correspondence of different systems (both human and automated) may occur in part because they were designed for different units of analysis.     

Stability of the MCMI Among Depressed Psychiatric Outpatients

The Milton Clinical Multiaxial Inventory (MCMI) is a promising, yet somewhat unproven psychometric inventory developed to identify clinical syndromes and personality traits consonant with the Diagnostic and Statistical Manual of Mental Disorders (3rd ed. [DSM-III]; American Psychiatric Association, 1980). The stability of its measures for both the theoretically more stable personality characteristics and the clinical syndromes was investigated in a group of depressed psychiatric outpatients. In this test-retest design with a 3-month interval between tests, clinical syndrome scales of relevance changed significantly as expected. However, many of the personality scales also changed significantly. Only four of the personality scales met a two-fold test of stability. Findings are discussed in terms of characteristics of self-report inventories such as the MCMI, the uniqueness of the depressed population, and characteristics of personality disorders.     

When Beliefs Lead to (Im)Moral Action: How Believing in Torture's Effectiveness Shapes the Endorsement of Its Use

Does believing in torture's effectiveness shape the endorsements of its use? Using a multimethod approach across six studies, we provide converging evidence that efficacy beliefs can help increase understanding of individual differences and situational influences on torture support. Studies 1a and 1b found that torture opinions contained more efficacy‐based language than other types of harm and that people relied more on torture efficacy than torture's inherent morality when conveying their views. Study 2 assessed predictors of torture favorability including effectiveness and other key covariates, revealing that efficacy beliefs strongly predicted torture favorability—an association that retained its predictive validity above and beyond individual differences known to influence torture support. Mediation analyses further showed that efficacy beliefs explained key associations with torture support. Studies 3 and 4 used moral dilemmas requiring decisions about torture versus other harm. Results showed that individuals who believed harm would be effective were more likely to endorse its use; this was especially evident for torture judgments. Study 5 replicated the torture‐efficacy effect while also revealing efficacy effects for other interrogation techniques, thus suggesting the effect is driven more by the instrumental objective of torture than harm or moral violations. Theoretical and practical implications are discussed.     

Stability of the MCMI among depressed psychiatric outpatients

The Millon Clinical Multiaxial Inventory (MCMI) is a promising, yet somewhat unproven psychometric inventory developed to identify clinical syndromes and personality traits consonant with the Diagnostic and Statistical Manual of Mental Disorders (3rd ed. [DSM-III]; American Psychiatric Association, 1980). The stability of its measures for both the theoretically more stable personality characteristics and the clinical syndromes was investigated in a group of depressed psychiatric outpatients. In this test-retest design with a 3-month interval between tests, clinical syndrome scales of relevance changed significantly as expected. However, many of the personality scales also changed significantly. Only four of the personality scales met a two-fold test of stability. Findings are discussed in terms of characteristics of self-report inventories such as the MCMI, the uniqueness of the depressed population, and characteristics of personality disorders.     

Event-related potentials elicited by automatic targets: a dual-task analysis

The role of limited capacity processes in the detection of automatic targets was investigated in a dual-task paradigm using both behavioral and event-related brain potential (ERP) measures. An automatic detection task was paired with another concurrent discrimination while the relative importance of each task was systematically varied. The resulting performance operating characteristic (POC) showed that both the speed and accuracy of automatic detection responses were affected by the allocation of attention. Reductions in the accuracy of each task were accompanied by reductions in the amplitude of a late-positive component of the ERP (P300). In addition, the latency of the P300 component elicited by automatic targets was increased in dual-task conditions. A comparison of behavioral and ERP measures suggested the involvement of two separate limited-capacity processes in automatic detection: one concerned with the formation of an episodic representation of target occurrence and the other with the execution of rapid motor responses.     

American Indian methamphetamine and other drug use in the Southwestern United States

To investigate the extent of methamphetamine and other drug use among American Indians (AIs) in the Four Corners region, we developed collaborations with Southwestern tribal entities and treatment programs in and around New Mexico. We held nine focus groups, mostly with Southwestern AI participants (N = 81) from three diverse New Mexico communities to understand community members, treatment providers, and clients/relatives views on methamphetamine. We conducted a telephone survey of staff (N = 100) from agencies across New Mexico to assess perceptions of methamphetamine use among people working with AI populations. We collected and analyzed self-reported drug use data from 300 AI clients/relatives who completed the Addiction Severity Index (ASI) in the context of treatment at three diverse addiction treatment programs. Each focus group offered a unique perspective about the effect of drugs and alcohol on each respective community. Though data from the phone surveys and ASIs suggested concerning rates of methamphetamine use, with women more adversely affected by substance use in general, alcohol was identified as the biggest substance use problem for AI populations in the Southwest. There appears to be agreement that methamphetamine use is a significant problem in these communities, but that alcohol is much more prevalent and problematic. There was less agreement about what should be done to prevent and treat methamphetamine use. Future research should attend to regional and tribal differences due to variability in drug use patterns, and should focus on identifying and improving dissemination of effective substance use interventions.     

Finding the Loch Ness Monster: Left‐Wing Authoritarianism in the United States

Although past research suggests authoritarianism may be a uniquely right‐wing phenomenon, the present two studies tested the hypothesis that authoritarianism exists in both right‐wing and left‐wing contexts in essentially equal degrees. Across two studies, university (n = 475) and Mechanical Turk (n = 298) participants completed either the RWA (right‐wing authoritarianism) scale or a newly developed (and parallel) LWA (left‐wing authoritarianism) scale. Participants further completed measurements of ideology and three domain‐specific scales: prejudice, dogmatism, and attitude strength. Findings from both studies lend support to an authoritarianism symmetry hypothesis: Significant positive correlations emerged between LWA and measurements of liberalism, prejudice, dogmatism, and attitude strength. These results largely paralleled those correlating RWA with identical conservative‐focused measurements, and an overall effect‐size measurement showed LWA was similarly related to those constructs (compared to RWA) in both Study 1 and Study 2. Taken together, these studies provide evidence that LWA may be a viable construct in ordinary U.S. samples.