MORE ON THE STRUCTURE OF MALE ROLE NORMS

This study assessed the structure of a widely used measure of masculinity ideology, the Male Role Norms Scale (Thompson & Pleck, 1986), using data from four samples of male college students (total N= 656) at two large, public universities (one Midwestern, one Eastern-Central). Exploratory factor analysis suggested a four-factor model best fit the data in the exploratory sample (sample 1; N = 210). The four factors were Status/ Rationality, Antifemininity, Tough Image, and Violent Toughness. A series of confirmatory factor analyses on a validation sample (samples 2, 3, and 4; N = 446), tested four models based on theory (i.e., Brannon, 1976) and previous research (i.e., Thompson & Pleck, 1986). Results from Study 1, our exploratory analysis, indicated that the four-factor model derived from the exploratory sample in Study 1 provided the best fit for the validation sample data of all models tested and also provided a good fit in absolute terms, according to several model-data fit indices. Implications for the assessment of masculinity ideology and suggestions for future research are discussed.     

Personality and modulation of the startle reflex by emotionally-toned filmclips

Several researchers have found that pleasant foreground stimuli attenuate the eyeblink component of the startle reflex while unpleasant foreground stimuli potentiate it. The effects of personality factors on such modulation of the eyeblink response, as measured by electromyographic (EMG) activity in reaction to loud acoustic startle probes, were examined in subjects viewing emotionally-toned (pleasant, unpleasant and neutral) filmclips. During the main part of the experiment, introverts had higher baseline EMG activity and lower response probability than extraverts; no differences were observed at the beginning of the experiment, during an acclimatization session. Reflex modulation, as measured by response latency, was influenced by the Psychoticism (P) factor of the Eysenck Personality Questionnaire: subjects high on P showed longer latencies to eyeblink onset when probed during viewing of pleasant filmclips than subjects low on this dimension; no significant differences were observed between subjects low and high on P for neutral and unpleasant filmclips. No influence of personality factors was found on affective modulation as measured by response amplitude/magnitude. The results are discussed in relation to Gray's and Eysenck's theories of personality.     

Knowledge-based classification of ill-defined categories

In this paper, I report an exploratory study which investigated the role that prior knowledge plays in influencing classification learning. Under neutral or knowledge-imposing instructions, subjects learned to classify exemplars into categories that either were or were not linearly separable. Linearly separable categories are those categories whose members can be correctly classified based on an additive summation of weighted attribute information. Following category learning, the subjects were given transfer tests. A major finding was that knowledge facilitated the learning of linearly separable categories but interfered with the learning of not linearly separable categories. Quantitative analyses revealed that the knowledge facilitated category learning of the linearly separable categories by influencing the storage and reliance on both prototypical and exemplar information.     

Assessing the Functions of Non-suicidal Self-injury: Psychometric Properties of the Inventory of Statements About Self-injury (ISAS)

The present study reports the psychometric properties of the Inventory of Statements About Self-injury (ISAS), a measure designed to comprehensively assess the functions of non-suicidal self-injury (NSSI). The ISAS assesses 13 functions of NSSI, as well as the frequency of 12 NSSI behaviors. The ISAS was administered to 235 young adults from a college population who had performed at least one NSSI behavior. Consistent with previous research, ISAS functions comprised two factors representing interpersonal and intrapersonal functions. In addition, the ISAS factors exhibited excellent internal consistency and expected correlations with both clinical constructs (e.g., borderline personality disorder, suicidality, depression, anxiety) and contextual variables (e.g., tendency to self-injure alone). Findings support the reliability and validity of the ISAS. The ISAS may be useful in research and treatment contexts as a comprehensive measure of NSSI functions.     

Law enforcement preferences for PTSD treatment and crisis management alternatives

Evidence-based treatments (EBT) for posttraumatic stress disorder (PTSD) remain underutilized. Analog research, however, indicates that patients may be more amenable to receiving EBT for PTSD than utilization rates suggest. This study sought to extend previous studies by investigating PTSD treatment preferences among law enforcement individuals (i.e., active duty officers, cadets, criminal justice students). We asked 379 participants, with varying trauma histories, to read a police traumatic event and imagine they had developed PTSD. Participants rated the credibility of six treatment options which they might encounter in a treatment setting, and chose their most and least preferred treatments. Next, they evaluated a widely used debriefing intervention aimed at preventing PTSD. Almost 90% of participants chose exposure or Cognitive Processing Therapy as their first or second most preferred treatment, and they rated these interventions as significantly more credible than the other four treatment options. The sample showed ambivalence regarding the perceived efficacy of debriefing but found the rationale credible. This study supports previous analog research indicating that patients may be more interested in EBT than indicated by utilization rates, and suggests that law enforcement departments should consider offering EBT to officers who develop PTSD.     

Computational cognitive modeling of the temporal dynamics of fatigue from sleep loss

Computational models have become common tools in psychology. They provide quantitative instantiations of theories that seek to explain the functioning of the human mind. In this paper, we focus on identifying deep theoretical similarities between two very different models. Both models are concerned with how fatigue from sleep loss impacts cognitive processing. The first is based on the diffusion model and posits that fatigue decreases the drift rate of the diffusion process. The second is based on the Adaptive Control of Thought – Rational (ACT-R) cognitive architecture and posits that fatigue decreases the utility of candidate actions leading to microlapses in cognitive processing. A biomathematical model of fatigue is used to control drift rate in the first account and utility in the second. We investigated the predicted response time distributions of these two integrated computational cognitive models for performance on a psychomotor vigilance test under conditions of total sleep deprivation, simulated shift work, and sustained sleep restriction. The models generated equivalent predictions of response time distributions with excellent goodness-of-fit to the human data. More importantly, although the accounts involve different modeling approaches and levels of abstraction, they represent the effects of fatigue in a functionally equivalent way: in both, fatigue decreases the signal-to-noise ratio in decision processes and decreases response inhibition. This convergence suggests that sleep loss impairs psychomotor vigilance performance through degradation of the quality of cognitive processing, which provides a foundation for systematic investigation of the effects of sleep loss on other aspects of cognition. Our findings illustrate the value of treating different modeling formalisms as vehicles for discovery.