Childhood Maltreatment,Adult Attachment,and Depression as Predictors of Parental Self-Efficacy in At-Risk Mothers

Childhood abuse and neglect can have far-reaching effects on adult relationships, mental health, and parenting. This study examined relations between maltreatment types, anxious and avoidant adult attachment, maternal depression, and parental self-efficacy in a community sample of 76 at-risk mothers. After controlling for other forms of maltreatment, emotional abuse uniquely predicted higher levels of anxious attachment and maternal depression. Structural equation modeling revealed that childhood maltreatment predicted lower parental self-efficacy through indirect pathways involving anxious attachment and depression. Specifically, maltreatment's influence on maternal depression was mediated by attachment anxiety, while its influence on parental self-efficacy was mediated by depressive symptoms. Results are discussed in terms of attachment theory and ways in which parental self-efficacy contributes to adaptive caregiving behavior.     

Eye movements when reading words with $YMβOL$ and NUM83R5: There is a cost

Recent evidence from masked priming experiments has revealed that readers regularize letter-like symbols and letter-like numbers into their corresponding base letters with minimal processing cost. However, one open question is whether the same pattern occurs when these items are presented during normal silent reading. In the present study, we respond to this question in an eye-movement experiment that included sentences with words that had symbols and numbers as letters, as in “YESTERDAY I SAW THE SECRE74RY WORKING VERY HARD”. Results revealed that there is a greater reading cost associated with letter-by-number replacements than with letter-by-symbol replacements, especially when the replaced letters occur at the beginning of the word. We examine the implications of these findings for models of visual word recognition and reading.     

Comparing posttraumatic stress disorder's symptom structure between deployed and nondeployed veterans

We tested two empirically validated 4-factor models of posttraumatic stress disorder (PTSD) symptoms using the PTSD Checklist: King, Leskin, King, and Weathers' (1998) model including reexperiencing, avoidance, emotional numbing, and hyperarousal factors, and Simms, Watson, and Doebbeling's (2002) model including reexperiencing, avoidance, dysphoria, and hyperarousal. Our aim was to determine which fit better in two groups of military veterans: peacekeepers previously deployed to a war zone (deployed group) and those trained for peacekeeping operations who were not deployed (nondeployed group). We compared the groups using multigroup confirmatory factor analysis. Adequate model fit was demonstrated among the nondeployed group, with no significant difference between King et al.'s (1998) model (separating avoidance and numbing) and Simms et al.'s (2002) similar model involving a dysphoria factor. A better fitting factor structure consistent with Simms et al.'s (2002) model was found in the deployed group. Comprehensive measurement invariance testing demonstrated significant differences between the deployed and nondeployed groups on all structural parameters, except observed variable intercepts (thus indicating similarities only in PTSD item severity). These findings add to researchers' understanding of PTSD's factor structure, given the revision of PTSD that will appear in the forthcoming 5th edition of the Diagnostic and Statistical Manual of Mental Disorders (American Psychiatric Association, 2010)--namely, that the factor structure may be quite different between groups with and without exposure to major traumatic events.     

Assessment of affect integration: validation of the affect consciousness construct

Affect integration, or the capacity to utilize the motivational and signal properties of affect for personal adjustment, is assumed to be an important aspect of psychological health and functioning. Affect integration has been operationalized through the affect consciousness (AC) construct as degrees of awareness, tolerance, nonverbal expression, and conceptual expression of nine discrete affects. A semistructured Affect Consciousness Interview (ACI) and separate Affect Consciousness Scales (ACSs) have been developed to specifically assess these aspects of affect integration. This study explored the construct validity of AC in a Norwegian clinical sample including estimates of reliability and assessment of structure by factor analyses. External validity issues were addressed by examining the relationships between scores on the ACSs and self-rated symptom- and interpersonal problem measures as well as independent, observer-based ratings of personality disorder criteria and the Global Assessment of Functioning (GAF) scale from the Diagnostic and Statistical Manual of Mental Disorders (4th ed. [DSM-IV]; American Psychiatric Association, 1994).     

A validation of Amazon Mechanical Turk for the collection of acceptability judgments in linguistic theory

Amazon’s Mechanical Turk (AMT) is a Web application that provides instant access to thousands of potential participants for survey-based psychology experiments, such as the acceptability judgment task used extensively in syntactic theory. Because AMT is a Web-based system, syntacticians may worry that the move out of the experimenter-controlled environment of the laboratory and onto the user-controlled environment of AMT could adversely affect the quality of the judgment data collected. This article reports a quantitative comparison of two identical acceptability judgment experiments, each with 176 participants (352 total): one conducted in the laboratory, and one conducted on AMT. Crucial indicators of data quality—such as participant rejection rates, statistical power, and the shape of the distributions of the judgments for each sentence type—are compared between the two samples. The results suggest that aside from slightly higher participant rejection rates, AMT data are almost indistinguishable from laboratory data.     

Objective Bayesianism,Bayesian conditionalisation and voluntarism

Objective Bayesianism has been criticised on the grounds that objective Bayesian updating, which on a finite outcome space appeals to the maximum entropy principle, differs from Bayesian conditionalisation. The main task of this paper is to show that this objection backfires: the difference between the two forms of updating reflects negatively on Bayesian conditionalisation rather than on objective Bayesian updating. The paper also reviews some existing criticisms and justifications of conditionalisation, arguing in particular that the diachronic Dutch book justification fails because diachronic Dutch book arguments are subject to a reductio: in certain circumstances one can Dutch book an agent however she changes her degrees of belief. One may also criticise objective Bayesianism on the grounds that its norms are not compulsory but voluntary, the result of a stance. It is argued that this second objection also misses the mark, since objective Bayesian norms are tied up in the very notion of degrees of belief.