Measurement and Predictive Invariance of a Work–Life Boundary Measure Across Gender

Pervasive gender norms influence the way in which men and women create and experience work–life boundaries and work–life conflict, which may lead to differing conceptions of work–life boundary management. Measurement equivalence/invariance (ME/I) and predictive invariance analyses were conducted on the WorkLife Indicator^TM (WLI), a measure of work–life boundary management, to determine if men and women maintain similar conceptualizations of work–life boundary constructs and if work–life outcomes are predicted equally well by WLI scales across gender. Three of the five WLI scales exhibited ME/I; however, half of the WLI scale–criterion pairings failed to demonstrate predictive invariance. These results indicate that measurement and/or predictive invariance cannot be assumed when using work–life boundary assessments across gender.     

The number line effect reflects top-down control

Recent evidence indicates that central directional stimuli, such as eyes and arrows, trigger rapid, reflexive shifts of spatial attention. A study by Fischer, Castel, Dodd, and Pratt (2003) suggested that a similar effect might also apply to central numbers, as if a digit's meaning causes attention to be oriented to its relative position on a left-to-right mental number line. However, unlike central eyes and arrows, the orienting effect for central digits emerges slowly, suggesting that top-down endogenous processes may be mediating this effect. Here, we report a series of three experiments that strongly support this hypothesis. Experiment 1 replicated Fischer et al.'s left-to-right number line effect. Experiment 2 showed that this effect could be completely reversed by merely asking participants to imagine a number line running from right to left. Experiment 3 showed that a left-to-right number line effect could be abolished by presenting targets above and below central fixation, as well as to the left and right of center. Experiment 3 also showed that other mental sets, such as imagining a clock, result in attention's being oriented in accordance with where the central digits are represented on a clock face. Together, these data indicate that the spatial representations and attentional orienting related to the perception of digits are both fragile and flexible and depend critically on the top-down spatial mental sets adopted by individuals.     

Acceptance patterns of retaliatory aggression among adjudicated youth by sex and race

This study investigates sex and race differences in normative beliefs about the acceptability of aggression across dimensions of severity of provocation (weak versus strong) and sex of provoker (male versus female). Students in the sample of 311 included those required to attend three Department of Youth Services schools after placement by the juvenile court system from across the state of Alabama (N=392). Results show that males were significantly more likely than females to approve of retaliation to weak provocation and against females. There were no significant differences between males and females for retaliation with strong provocation and against males. Results also show the Black group was significantly more likely than the White group to approve of retaliation to weak provocation, strong provocation, and against females.     

Assaultive violence and the risk of posttraumatic stress disorder following a subsequent trauma

Breslau, Peterson, and Shultz (2008) reported that prior trauma alone, in the absence of PTSD, did not predict an increased PTSD risk, relative to no prior trauma. Only prior trauma that resulted in PTSD predicted an increased PTSD risk following a subsequent trauma. Recently, Cougle, Resnick, and Kilpatrick (2009) proposed that the effect of prior trauma might vary by type of prior trauma, a possibility not considered in Breslau et al. They report that childhood sexual or physical assault, in the absence of PTSD, increased the PTSD risk following a subsequent trauma. This report examines the PTSD effects of prior assaultive violence, using data from Breslau et al. (1998). The study assessed PTSD in relation to up to three events. Analysis was performed on the subset with PTSD assessment for two distinct events, the earliest trauma and a subsequent trauma (n = 967), using as reference persons with no prior trauma (n = 972). Neither prior assaultive violence nor other prior traumas, in the absence of PTSD, influenced the subsequent risk of PTSD. In contrast, prior PTSD increased considerably the PTSD risk of a subsequent trauma. The limitations in Cougle et al. (2009) and in this study and future research directions are discussed.     

What is learned when concept learning fails?—A theory of restricted-domain relational learning

Two matching-to-sample (MTS) and four same/different (S/D) experiments employed tests to distinguish between item-specific learning and relational learning. One MTS experiment showed item-specific learning when concept learning failed (i.e., no novel-stimulus transfer). Another MTS experiment showed item-specific learning when pigeons’ novel-stimulus transfer decreased because they chose familiar training comparisons instead of matching novel comparisons. In 8-item and 3-item S/D tasks, pigeons and monkeys were accurate with unfamiliar training-stimulus pairings, stimulus inversions, and distorted stimuli, suggesting relational learning within a domain restricted to the training stimuli (i.e., no novel-stimulus transfer). In 32-item S/D tasks, pigeons with previous 8-item training showed less transfer than those without prior training, suggesting a carryover of restricted-domain relational learning. Pigeons shifted from 1024-item to 8-item S/D tasks showed reinstatement of restricted-domain relational learning. These findings are important in specifying which types of learning occur in these tasks, showing that subjects failing novel-stimulus transfer are not required to switch from item-specific to relational learning as a training set is expanded, and demonstrating that concept learning failure is not proof of item-specific learning.