Attentional control moderates fearful responding to a 35% CO(2) challenge

Attentional control (AC) is an individual difference variable indexing the ability to voluntarily focus attention and shift attention when desired. AC is thought to impact the experience of fear by facilitating the disengagement of attention from threat and promoting the deployment of attentional resources toward regulatory or coping strategies. Whereas previous research has focused on visual threat cues, in the current study we examined whether this model also applies to interoceptive threat by evaluating the extent to which individual differences in AC moderated the relationship between trait anxiety and self-reported fear in response to a single vital capacity inhalation of a 35% CO(2), 65% balanced O(2) gas mixture. The sample comprised a large nonclinical group of young adults (N=128). Results indicated that AC moderated the relationship between trait anxiety and fearful responding to the challenge. Findings suggest that AC plays a significant and clinically important role in modulating self-reported fear.     

Randomized controlled trial of false safety behavior elimination therapy: a unified cognitive behavioral treatment for anxiety psychopathology

We tested the efficacy of a unified cognitive-behavioral therapy protocol for anxiety disorders. This group treatment protocol, termed false safety behavior elimination therapy (F-SET), is a cognitive-behavioral approach designed for use across various anxiety disorders such as panic disorder (PD), social anxiety disorder (SAD), and generalized anxiety disorder (GAD). F-SET simplifies, as well as broadens, key therapeutic elements of empirically validated treatments for anxiety disorders to allow for easier delivery to heterogeneous groups of patients with anxiety psychopathology. Patients with a primary anxiety disorder diagnosis (N=96) were randomly assigned to F-SET or a wait-list control. Data indicate that F-SET shows good efficacy and durability when delivered to mixed groups of patients with anxieties (i.e., PD, SAD, GAD) by relatively inexperienced clinicians. Findings are discussed in the context of balancing treatment efficacy and clinical utility.     

Young children enforce social norms selectively depending on the violator's group affiliation

To become cooperative members of their cultural groups, developing children must follow their group's social norms. But young children are not just blind norm followers, they are also active norm enforcers, for example, protesting and correcting when someone plays a conventional game the "wrong" way. In two studies, we asked whether young children enforce social norms on all people equally, or only on ingroup members who presumably know and respect the norm. We looked at both moral norms involving harm and conventional game norms involving rule violations. Three-year-old children actively protested violation of moral norms equally for ingroup and outgroup individuals, but they enforced conventional game norms for ingroup members only. Despite their ingroup favoritism, young children nevertheless hold ingroup members to standards whose violation they tolerate from outsiders.     

Integrity tests predict counterproductive work behaviors and job performance well: comment on Van Iddekinge, Roth, Raymark, and Odle-Dusseau (2012)

Examination of the Van Iddekinge, Roth, Raymark, and Odle-Dusseau (2012) meta-analysis reveals a number of problems. They meta-analyzed a partial database of integrity test validities. An examination of their coded database revealed that measures coded as integrity tests and meta-analyzed as such often included scales that are not in fact integrity tests. In addition, there were important deficiencies in their analytic approach relating to application of range restriction corrections and identification of moderators. We found the absence of fully hierarchical moderator analyses to be a serious weakness. We also explain why empirical comparisons between test publishers versus non-publishers cannot unambiguously lead to inferences of bias, as alternate explanations are possible, even likely. In light of the problems identified, it appears that the conclusions about integrity test validity drawn by Van Iddekinge et al. cannot be considered accurate or reliable.     

Memory for emotional words in sentences: the importance of emotional contrast

Numerous researchers have demonstrated that emotional words are remembered better than neutral words. However, the effect has been attributed to factors other than emotion because it is somewhat fragile and influenced by variables such as the experimental designs employed. To investigate the role of emotion per se in memory for emotional words, negative-affect but low arousal emotional words were placed in sentence contexts that either activated high emotional meanings of the words (Shane died in his car last night.), or low emotional meanings of the words (Shane's old car died last night). The high-emotional contexts led to better memory than the low-emotional contexts, but only in mixed lists of emotional and neutral words. Additionally, the traditional emotional memory effect was also limited to mixed lists. The results are consistent with the idea that an emotional contrast is responsible for the emotional memory effect with low arousal emotional words.     

Early information processing biases in social anxiety

Considerable controversy persists regarding the nature of threat-related attention biases in social anxiety. Previous studies have not considered how variations in the temporal and energetic dimensions of affective stimulus delivery interact with anxiety-related individual differences to predict biased attention. We administered a visual dot-probe task, using faces that varied in affective intensity (mild, moderate, strong) and presentation rate (100, 500, 1,250 ms) to a selected sample. The high, compared to the low, socially anxious group showed vigilance towards angry faces and emotionally ambiguous faces more generally during rapid (100 ms) presentations. By 1,250 ms, there was only a non-specific motor slowing associated with angry faces in the high socially anxious group. Findings suggest the importance of considering both chronometric and energetic dimensions of affective stimuli when examining anxiety-related attention biases. Future studies should consider using designs that more closely replicate aspects of real-world interaction to study processing biases in socially anxious populations.     

Content Validity and Cognitive Tests: Response to Kehoe (), Ployhart (), and Sackett ()

The most important fact emerging from the combination of my article and the three commentaries is the consensus judgment that content validity is appropriate scientifically and professionally for use with tests of specific cognitive skills used in job performance. This is important because the 1978 Uniform Guidelines on Employee Selection Procedures have typically been interpreted as not permitting such usage, and this is particularly the case in the interpretation given to the Guidelines by federal government enforcement agencies. Although the Society for Industrial and Organizational Psychology Principles and the Standards do not prohibit such usage, many industrial–organizational psychologists believe that it is not professionally or scientifically appropriate to employ content validity methods with cognitive measures. The hope is that this series will convince them otherwise. On this point, all four authors in the series are in agreement. The major disagreement among us concerns whether specific cognitive skills used in content valid tests must be considered constructs or not. My position, and apparently that of Kehoe, is that they need not be so considered. I argue that constructs must be invoked only in the context of a substantive theory. Sackett and Ployhart, on the other hand, argue that all measures taken on people must be viewed as constructs, regardless of whether any theoretical propositions and assumptions are involved. In this response, I present reasons why this need not be the case.     

An SEM approach to continuous time modeling of panel data: relating authoritarianism and anomia

Panel studies, in which the same subjects are repeatedly observed at multiple time points, are among the most popular longitudinal designs in psychology. Meanwhile, there exists a wide range of different methods to analyze such data, with autoregressive and cross-lagged models being 2 of the most well known representatives. Unfortunately, in these models time is only considered implicitly, making it difficult to account for unequally spaced measurement occasions or to compare parameter estimates across studies that are based on different time intervals. Stochastic differential equations offer a solution to this problem by relating the discrete time model to its underlying model in continuous time. It is the goal of the present article to introduce this approach to a broader psychological audience. A step-by-step review of the relationship between discrete and continuous time modeling is provided, and we demonstrate how continuous time parameters can be obtained via structural equation modeling. An empirical example on the relationship between authoritarianism and anomia is used to illustrate the approach.     

"An SEM approach to continuous time modeling of panel data: Relating authoritarianism and anomia": Correction to Voelkle, Oud, Davidov, and Schmidt (2012)

Reports an error in "An SEM approach to continuous time modeling of panel data: Relating authoritarianism and anomia" by Manuel C. Voelkle, Johan H. L. Oud, Eldad Davidov and Peter Schmidt (Psychological Methods, 2012[Jun], Vol 17[2], 176-192). The supplemental materials link was missing. All versions of this article have been corrected. (The following abstract of the original article appeared in record 2012-09124-001.) Panel studies, in which the same subjects are repeatedly observed at multiple time points, are among the most popular longitudinal designs in psychology. Meanwhile, there exists a wide range of different methods to analyze such data, with autoregressive and cross-lagged models being 2 of the most well known representatives. Unfortunately, in these models time is only considered implicitly, making it difficult to account for unequally spaced measurement occasions or to compare parameter estimates across studies that are based on different time intervals. Stochastic differential equations offer a solution to this problem by relating the discrete time model to its underlying model in continuous time. It is the goal of the present article to introduce this approach to a broader psychological audience. A step-by-step review of the relationship between discrete and continuous time modeling is provided, and we demonstrate how continuous time parameters can be obtained via structural equation modeling. An empirical example on the relationship between authoritarianism and anomia is used to illustrate the approach. (PsycINFO Database Record (c) 2012 APA, all rights reserved).