Jeromy Anglim

The Obsessive Beliefs Questionnaire (OBQ): examination in nonclinical samples and development of a short version

The study aimed to examine the factor structure of the Obsessive Beliefs Questionnaire (OBQ), the most widely used measure of dysfunctional beliefs in obsessive—compulsive disorder (OCD). Multiple exploratory methods (exploratory factor analysis, cluster analysis by variable, multidimensional scaling) were used to examine the questionnaire. Confirmatory factor analyses were also performed in two large nonclinical samples from Australia (N = 1,234) and Israel ( N = 617). Our analyses suggested a four-factor solution with 38 items, where threat and responsibility formed separate dimensions (the “OBQ-TRIP”). This version had superior fit statistics across the two divergent confirmatory samples, when compared with four alternative models suggested by previous authors. Of the OBQ dimensions, the threat scale correlated most strongly with OCD symptom measures, even when controlling for depression. A short, 20-item version of the scale is offered for further study. Implications and limitations are discussed.

The big five traits as predictors of subjective and psychological well-being.

Despite considerable research on personality and “hedonic” or subjective well-being, parallel research on “eudaimonic” or psychological well-being is scarce. The current study investigated the relationship between the Big Five traits and subjective and psychological well-being among 211 men and women. Results indicated that the relationship between personality factors and psychological well-being was stronger than the relationship between personality factors and subjective well-being. Extraversion, neuroticism, and conscientiousness correlated similarly with both subjective and psychological well-being, suggesting that these traits represent personality predispositions for general well-being. However, the personality correlates of the dimensions within each broad well-being type varied, suggesting that the relationship between personality and well-being is best modeled in terms of associations between specific traits and well-being dimensions.

Process in skill acquisition: motivation, interruptions, memory, affective states, and metacognition

Models of skill acquisition, such as Ackermans (1988) theory of skill acquisition, largely ignore the experiences and dynamic internal processes of a person while learning a skill (e.g., how they feel, what strategies they are using, the role of the external environment). Riding and Powell (1993) suggested that the information-processing model (a common conceptualisation of learning and thinking) is an inadequate model to explain the complexities of human brain functions. These models are largely holistic, and do not provide detail about the qualitative aspects of a persons learning experience. This paper attempts to highlight the importance of a dynamic description of skill acquisition and to “unpack” the skill acquisition stages, with a focus given to process rather than performance or outcome. Learning more about what is going on “inside peoples heads” whilst learning a skill, and what feelings or affective states are present, can inform both skill acquisition theory and various practical issues, such as why some training programs fail and some succeed. The role of emotions, motivation, environment, and other factors; the concepts of skill and ability; and various theories of skill acquisition are discussed. This highlights missing elements in the typical cognitive experimental focus. The concept of process itself is explored, with a focus on learning in general. Process-oriented factors such as motivation, memory, interruptions, emotion, and metacognition are investigated in relation to skilled performance. Areas for future research and some practical implications for training are outlined.

Modelling skill acquisition in acquired brain injury

Abstract Acquired brain injury (ABI) is a debilitating condition often requiring extensive rehabilitation. Although cognitive rehabilitation is concerned with overcoming a skills deficit, the application of skill acquisition research in this context has been non-existent. Examining post-injury learning in terms of the qualitative variables associated with different phases of skill acquisition is likely to be beneficial in assessing patient status and monitoring progress, as well as identifying changing needs over the course of learning. However, current models of skill acquisition overlook the potential impact of variables such as emotion, implicit learning, metacognition, motivation, and strategies that can be leveraged to improve skill acquisition. The current paper attempts to lay the groundwork for modelling and improving skill acquisition in ABI.

Comparing Job Applicants to Non-applicants Using an Item-level Bifactor Model on the HEXACO Personality Inventory

The present study evaluated the ability of item–level bifactor models (a) to provide an alternative explanation to current theories of higher order factors of personality and (b) to explain socially desirable responding in both job applicant and non–applicant contexts. Participants (46% male; mean age = 42 years, SD = 11) completed the 200–item HEXACO Personality Inventory–Revised either as part of a job application (n = 1613) or as part of low–stakes research (n = 1613). A comprehensive set of invariance tests were performed. Applicants scored higher than non–applicants on honesty–humility (d = 0.86), extraversion (d = 0.73), agreeableness (d = 1.06), and conscientiousness (d = 0.77). The bifactor model provided improved model fit relative to a standard correlated factor model, and loadings on the evaluative factor of the bifactor model were highly correlated with other indicators of item social desirability. The bifactor model explained approximately two–thirds of the differences between applicants and non–applicants. Results suggest that rather than being a higher order construct, the general factor of personality may be caused by an item–level evaluative process. Results highlight the importance of modelling data at the item–level. Implications for conceptualizing social desirability, higher order structures in personality, test development, and job applicant faking are discussed. Copyright

The Effect of Victim Age on Police Authorisation of Charges in Cases of Child Sexual Abuse

In the study, a cohort of 440 child sexual abuse cases were used to model the effect of victim age on police authorisation of charges. Linear and quadratic effects of age were modelled in a logistic regression that controlled for case characteristics and evidence. The quadratic effect of victim age was strengthened when control variables were included in the model and the linear effect of age was not significant in the final model. The results indicated that cases involving victims in middle childhood had a higher proportion of suspects charged than cases involving victims in early childhood and adolescence. Possible mediators of the relationship between victim age and charges were explored and it was found that cases with older victims had a higher prevalence of extra-familial abuse and suspect confessions, and these factors had a positive effect on the proportion of suspects charged. Possible explanations for the quadratic effect of victim age and mediation are discussed.

Hierarchical Bayesian models of subtask learning.

The current study used Bayesian hierarchical methods to challenge and extend previous work on subtask learning consistency. A general model of individual-level subtask learning was proposed focusing on power and exponential functions with constraints to test for inconsistency. To study subtask learning, we developed a novel computer-based booking task, which logged participant actions, enabling measurement of strategy use and subtask performance. Model comparison was performed using deviance information criterion (DIC), posterior predictive checks, plots of model fits, and model recovery simulations. Results showed that although learning tended to be monotonically decreasing and decelerating, and approaching an asymptote for all subtasks, there was substantial inconsistency in learning curves both at the group- and individual-levels. This inconsistency was most apparent when constraining both the rate and the ratio of learning to asymptote to be equal across subtasks, thereby giving learning curves only 1 parameter for scaling. The inclusion of 6 strategy covariates provided improved prediction of subtask performance capturing different subtask learning processes and subtask trade-offs. In addition, strategy use partially explained the inconsistency in subtask learning. Overall, the model provided a more nuanced representation of how complex tasks can be decomposed in terms of simpler learning mechanisms.

The Relationship Between Children's Age and Disclosures of Sexual Abuse During Forensic Interviews.

Children’s disclosures of sexual abuse during forensic interviews are fundamental to the investigation of cases. Research examining the relationship between age and disclosure has shown mixed results; the aim of the current study was to clarify and extend our knowledge by modeling linear, quadratic, and interaction effects of age on disclosure. Child sexual abuse reports made by children, their caregivers, or mandated reporters over a 12-month period to police in one state of Australia were examined. Of the 527 children (age range 3–16 years) offered a forensic interview, 81% disclosed abuse during it. The other 19% did not disclose or refused the interview. Age had both linear and quadratic effects, whereby disclosure increased with age until 11 years, after which disclosure decreased with age to 16 years. The effect of age on disclosure was moderated by five variables: abuse severity, the child–suspect relationship, suspects’ violence histories, delay of report to police, and children’s previous disclosures. Particular groups of children had lower likelihoods of disclosing abuse in forensic interviews than others, such as adolescents who alleged abuse against suspects with histories of violent offending. By identifying these groups, targeted strategies may be developed to help increase their disclosure rates.

Effectively Coping With Task Stress: A Study of the Validity of the Trait Emotional Intelligence Questionnaire–Short Form (TEIQue–SF)

ABSTRACT In this study, we investigated the validity of the Trait Emotional Intelligence Questionnaire–Short Form (TEIQue–SF; Petrides, 2009) in the context of task-induced stress. We used a total sample of 225 volunteers to investigate (a) the incremental validity of the TEIQue–SF over other predictors of coping with task-induced stress, and (b) the construct validity of the TEIQue–SF by examining the mechanisms via which scores from the TEIQue–SF predict coping outcomes. Results demonstrated that the TEIQue–SF possessed incremental validity over the Big Five personality traits in the prediction of emotion-focused coping. Results also provided support for the construct validity of the TEIQue–SF by demonstrating that this measure predicted adaptive coping via emotion-focused channels. Specifically, results showed that, following a task stressor, the TEIQue–SF predicted low negative affect and high task performance via high levels of emotion-focused coping. Consistent with the purported theoretical nature of the trait emotional intelligence (EI) construct, trait EI as assessed by the TEIQue–SF primarily enhances affect and performance in stressful situations by regulating negative emotions.

Measurement and research using the Big Five, HEXACO, and narrow traits: A primer for researchers and practitioners: Personality structure

Abstract Objective Personality traits influence human behaviour across a broad range of situations and are consequently relevant to many theoretical and applied disciplines. In this perspective piece, we provide an overview of the logic underpinning personality measurement and review major personality taxonomies. We provide an extensive set of recommendations for researchers and practitioners on when and how to use measures of personality traits. Method We overview a range of taxonomic representations of personality structure focusing particularly on hierarchical representations and five and six factor models such as the Big Five and HEXACO models. We review the various strengths and weaknesses of each approach. Results The review outlines the major reasons for the dominance of the Big Five model, and suggests it is a good descriptive framework for studying personality in general. However we suggest that researchers and practitioners also consider alternative taxonomic personality representations such as the HEXACO. We provide a range of scenarios whereby alternative frameworks will be more appropriate than the Big Five and offer recommendations both for choosing measures in general and for implementing studies examining personality facets. Conclusion Whilst the Big Five represents an excellent general personality framework that is appropriate across multiple situations, researchers and practitioners should be aware of alternative measures and utilise them where appropriate.