The MCMI as a measure of DSM-III

The Millon Clinical Multiaxial Inventory (MCMI) has been interpreted as a measure of DSM-III disorders. However, the MCMI was constructed and validated primarily as a measure of Millon's (1969, 1981) taxonomy, not DSM-III. Comparison of the two taxonomies and examination of the MCMI's content validity for two of the MCMI scales indicate only a partial congruence between the Millon and DSM-III taxonomies. There has been no published empirical research concerning the relationship between the MCMI and DSM-III, and the derivation and cross-validation research for the MCMI scales employed Millon's taxonomy and not DSM-III. It is suggested that until such data have been presented one should be cautious in one's interpretation of the MCMI as a measure of DSM-III disorders.     

Capacity demands of automatic processes in semantic priming

Ben-Gurion University of the Negev, Beer Sheva, Israel In three experiments, we examined the effects of prime-target stimulus onset asynchrony (SOA) and the proportion of related primes and targets (relatedness proportion, or RP) on semantic priming when the prime was either named or was searched for a specific letter. In Experiment 1, with an RP of. 50, priming occurred at SOAs of 240 and 840 msec when the prime was named, but no priming was found at either SOA when the prime was searched for a letter. In Experiment 2 the RP was either. 20 or. 80, and the SOA was set at 1, 700 msec; priming again was found in both conditions when the prime was named, but only in the RP.80 condition when a letter search task was performed on the prime. In Experiment 3, both the proportion of related trials and SOA were varied; as in the previous experiments, no priming effects were found with the letter search task for either SOA in the RP.20 condition, but the priming effect was reinstated in the RP.80 condition. These results are discussed with respect to how limited capacity resources are allocated and how they influence semantic priming effects.     

Effects of harsh parenting and positive parenting practices on youth aggressive behavior: The moderating role of early pubertal timing

Prior research indicates that early pubertal timing is associated with aggressive behavior, particularly in the context of adversity as postulated in the contextual amplification hypothesis. However, few studies have examined harsh parenting as the context for the effect of early pubertal timing. Even fewer studies have tested the interactive effect of early pubertal timing and positive parenting on aggressive behavior. In this study, we tested the proposition that early pubertal timing, contrary to the general conception of it as a vulnerability, indexed susceptibility, and thus early maturing individuals were affected more by their environment in a “for better and for worse” manner. The sample consisted of 411 community‐recruited youth aged 11–12 years (51% boys, 80% African Americans). Participants reported Tanner Stages of pubertal development, aggressive behavior and harsh parenting practice of their parents. Puberty scores were standardized with groups of the same age, sex, and ethnicity, and those that scored the top one‐third were defined as early maturing individuals. Parents reported youth's aggressive behavior and their parenting practices towards the youth, including harsh parenting and positive parenting. Early pubertal timing significantly moderated the relationship between harsh/positive parenting and aggressive behavior. Specifically, harsh parenting was positively associated with aggressive behavior to a larger degree among early maturing individuals than among on‐time/late‐maturing individuals. Positive parenting was inversely associated with aggressive behavior but only among early maturing individuals. This study is the first to document support for early pubertal timing as susceptibility to the environmental influences in relation to aggressive behavior. Theoretical and intervention implications are discussed.

     

Response to Lombardi

We address some of the individual points that Lombardi makes, some that we agree with and some that as infant mental health clinicians we do not agree with—for example, that at the beginning of life the mind is still not there—and try to show why we think that is.     

A Social-Cognitive Model of Driver Aggression: Taking Situations and Individual Differences into Account

Aggressive driving is a phenomenon that has taken on tremendous significance in society. While the issue has been studied from perspectives of several disciplines, relatively few comprehensive empirical investigations have been conducted. This may be due, at least in part, to a scarcity of comprehensive theoretical works in the field, from which methodical research hypotheses could be derived. This paper reviews major extant theories of general aggression to offer a rationale for choosing a particular framework to apply to the topic of aggressive driving. The social-cognitive model of aggressive driving is recommended, as it takes into account wide-ranging cognitive, situational, and dispositional factors. Implications for future research are also considered.     

The concept of voluntary consent

Our primary focus is on analysis of the concept of voluntariness, with a secondary focus on the implications of our analysis for the concept and the requirements of voluntary informed consent. We propose that two necessary and jointly sufficient conditions must be satisfied for an action to be voluntary: intentionality, and substantial freedom from controlling influences. We reject authenticity as a necessary condition of voluntary action, and we note that constraining situations may or may not undermine voluntariness, depending on the circumstances and the psychological capacities of agents. We compare and evaluate several accounts of voluntariness and argue that our view, unlike other treatments in bioethics, is not a value-laden theory. We also discuss the empirical assessment of individuals' perceptions of the degrees of noncontrol and self-control. We propose use of a particular Decision Making Control Instrument. Empirical research using this instrument can provide data that will help establish appropriate policies and procedures for obtaining voluntary consent to research.