The contribution of temperament, childhood neglect, and abuse to the development of personality dysfunction: a comparison of three models

We examined the contribution of temperament, childhood neglect, and abuse to the development of personality dysfunction as postulated in three different but correlated models of personality: the psychobiological, Vaillant's psychoanalytic, and DSM psychopathology models. Character, defense style, and personality disorder symptomatology (the dependent variables), and temperament, childhood neglect, and abuse (the independent variables) were assessed in 168 depressed outpatients. High harm avoidance (temperament) tended to be the strongest and most consistent risk factor across the three models. Deficient parental care predicted personality dysfunction, however low care was not consistently predictive across all three models. Emotional/psychological abuse and actual physical abuse were risk factors for increasing personality disorder symptomatology only. Childhood sexual abuse was not as predictive of personality dysfunction as might be expected, thereby raising questions as to the importance placed on child sexual abuse as a general risk factor for personality psychopathology.     

Modes and models in anxiety

Abstract

To examine within the realm of emotion the correspondences between personality models and classes of procedures for measuring individuality, a study was conducted in which self-rated anxiety, observations of anxious behaviors, and psychophysiological processes were recorded in multiple situations. Twenty-eight first-year psychology students participated in this study. For the specification of the basic concepts of personality a methodology is presented that is built on generalizability theory. Evidence is offered for a strong method-specificity of current personality models. Furthermore, the multimethod study revealed an absence of substantial multimode correlations.     

Structural equation models and personality research

This article is a nontechnical introduction to the use of structural equation models in personality research Although such models can be fruitfully used to address a variety of important theoretical issues, the substantive focus in this article is on the use of such models for elucidating the construct validity of personality measures We include numerous more specific topics under our treatment of construct validity First of all, we show how structural equation models can be applied to the issues of convergent and discriminant validity Do our variables measure the constructs we want them to measure and not other constructs that we would prefer not to measure? Second, we show the utility of structural equation models for predictive validity Do our variables reliably predict other constructs with which they are theoretically linked? Finally, we examine the stability of personality constructs through structural equation models Through-out, our emphasis is on the particular advantages that structural equation models bring to these analytic tasks Ultimately, such models must be used in the service of theory, and when used appropriately, they can help us to refine both our measures and our theories of individual differences     

Smoking, mood regulation, and personality: an event-sampling exploration of potential models and moderation

The aim of the present study was to test potential models of smoking-related changes in mood and how these are moderated by personality (behavioral activation and inhibition systems). Three models yielding distinct predictions regarding mood changes associated with cues to smoking and effects of ingestion were identified: the negative reinforcement model, the appetitive-incentive model, and the incentive-sensitization model. Seventy participants provided baseline data on personality and mood, and subsequently monitored their smoking behavior over 48 hours using an event-contingent diary--eliciting reports of mood state immediately prior to, and after, each cigarette smoked. MANOVA and multilevel modeling indicated that mood (hedonic tone and energetic arousal) improved significantly (p<.001) from baseline to pre-smoking, but did not change from pre- to post-smoking, thereby supporting the incentive-sensitization model. Further multilevel analyses indicated that significant variability in hedonic tone was moderated by the behavioral activation system.     

Choice of situations and congruence models of interactionism

Recent studies of person-situation interactions have focused nearly exclusively on the statistical rather than reciprocal form of the concept. In an attempt to reverse this trend, two models of reciprocal interactionism are offered: choice of situations and congruence response models. The choice model proposes that individuals select situations and avoid others on the basis of certain underlying needs and dispositions. According to the congruence model, individuals should experience greater positive affect and less negative affect in situations which are congruent with their personality characteristics. Individuals indicated the frequency with which thay had recently participated in various recreation situations and also reported the affects they felt when in those situations. Some support was found for both models of interactionism, thus the choice of model appeared stronger. Implications of the choice model for the personality consistency issue and personality assessment are discussed, and suggestions for future research are offered.     

Happiness and despair on the catwalk: Need satisfaction,well-being,and personality adjustment among fashion models

According to self-determination theory, well-being and healthy personality development depend on the fulfillment of three basic psychological needs: autonomy, relatedness, and competence. However, various contextual features can interfere with need satisfaction and undermine well-being. We hypothesized that fashion models, who are often valued for superficial reasons (i.e., their looks) and who may not have regular opportunities to cultivate deep relationships or exercise personal control on the job, might experience lower psychological need satisfaction, less well-being, and less optimal personality adjustment. Two studies were conducted in which professional fashion models (N?=?56 in Study 1; N?=?35 in Study 2) were compared to approximately equally large groups of non-models. Fashion models reported slightly lower need satisfaction and well-being but greater personality maladjustment (personality disorder features). Mediation analyses in Study 1 suggested that the lower well-being among models was explained via unfulfilled basic needs. These findings further substantiate the importance of basic need satisfaction for well-being and optimal adjustment.     

Dimensional models of personality disorder: coverage and cutoffs

Two major challenges that must be addressed by dimensional models, if they are to be considered viable alternatives to the present categorical system for diagnosing personality disorders, involve the issues of coverage and cutoffs. Several dimensional models of personality and personality pathology are evaluated with these issues in mind. There is growing consensus for the relevance of at least four higher-order domains of personality functioning that are clearly related to personality pathology: neuroticism/negative affectivity/emotional dysregulation, extraversion/positive emotionality, dissocial/antagonistic behavior, and constraint/compulsivity/conscientiousness. A proposal for developing a dimensionally based diagnostic system for personality disorders incorporating these higher-order traits is offered.     

Transactional models between personality and alcohol involvement: a further examination

Although correlated changes between personality and alcohol involvement have been shown, the functional relation between these constructs is also of theoretical and clinical interest. Using bivariate latent difference score models, we examined transactional relations (i.e., personality predicting changes in alcohol involvement, which in turn predicts changes in personality) across two distinct but overlapping developmental time frames (i.e., across college and during young adulthood) using two large, prospective samples. Across college, there was some evidence that alcohol involvement predicted changes in personality; however, these findings were limited to models that included more proximal measures of alcohol use. When examined across a longer timeframe, we found no evidence that alcohol involvement significantly predicted changes in personality but found some evidence that personality predicted changes in alcohol use. We did find reliable evidence of correlated changes between personality and alcohol use, especially during emerging adulthood. The findings from our datasets highlight that the impact of alcohol involvement on personality change may be limited to shorter intervals during specific developmental time-frames and that the relation between changes in personality and alcohol involvement may be best viewed from a noncausal perspective.     

Assessing variability in circumplex models of personality

This paper describes a new methodology for assessing variability in circumplex models of personality. Leary's (1957) method for assessing such variability within his system of interpersonal diagnosis is discussed and critiqued. The authors then propose a new methodology, which is (a) consistent with assumptions underlying circumplex orderings of variables, and (b) generalizable to other circumplex models of personality and/or interpersonal communications.     

Comparing hierarchical models of personality pathology

Two dimensional, hierarchical classification models of personality pathology have emerged as alternatives to traditional categorical systems: multi-tiered models with increasing numbers of factors and models that distinguish between a general factor of severity and specific factors reflecting style. Using a large sample (N = 840) with a range of psychopathology, we conducted exploratory factor analyses of individual personality disorder criteria to evaluate the validity of these conceptual structures. We estimated an oblique, “unfolding” hierarchy and a bifactor model, then examined correlations between these and multi-method functioning measures to enrich interpretation. Four-factor solutions for each model, reflecting rotations of each other, fit well and equivalently. The resulting structures are consistent with previous empirical work and provide support for each theoretical model.     

The position of authenticity within extant models of personality

The aim of the current study was to explore where authenticity, derived from the humanistic tradition of psychology, was positioned within a number of extant models of personality. Exploratory and Confirmatory Factor Analysis of data from four samples (total N = 1286) suggested that authenticity can be considered as loading on the Honesty-Humility factor of personality. These findings are discussed in terms of the wider theoretical overlaps between Honesty-Humility and psychological functioning as emphasised by the humanistic tradition of psychology.     

Testing neural network models of personality

Attempts to develop neural network models of personality have not generally used empirical data for training and validating the models. Two illustrations are provided which demonstrate the incorporation of empirical data into the modeling of behavioral responses to situations varying in closeness and hierarchical role relationships. An event-contingent recording procedure is utilized to obtain data from the same participant in multiple events for multiple situations. This data is then used in the training and validation of the neural networks. The first illustration models dominant and submissive behaviors in response to situations varying in social role status. The second illustration models agreeable and quarrelsome behaviors in response to situations varying in closeness and gender of the interaction partner. The predictions from both neural network models are consistent with previous research.     

Alternative dimensional models of personality disorder: finding a common ground

The recognition of the many limitations of the categorical model of personality disorder classification has led to the development of quite a number of alternative proposals for a dimensional classification. The purpose of this article is to suggest that future research work toward the integration of these alternative proposals within a common hierarchical structure. An illustration of a potential integration is provided using the constructs assessed within existing dimensional models. Suggestions for future research that will help lead toward a common, integrative dimensional model of personality disorder are provided.     

Personality, problem drinking, and drunk driving: mediating, moderating, and direct-effect models

Three different general explanations of the effect of personality on problems from drinking alcohol were investigated. One general explanation involved mediating effects. The 2nd explanation involved direct effects of personality. The 3rd general personality process held that alcohol consumption and personality interact as moderating effects on drinking problems. Results provided support for each of the 3 general explanations of personality effects, although certain effects were found primarily for only 2 of the 6 personality constructs investigated (sensation seeking and cognitive motivation). These findings helped delimit the personality processes associated with drinking problems and demonstrated the viability of several specific processes that go beyond traditional assumptions about personality and problem drinking.     

Person x situation interactions: choice of situations and congruence response models

Two models of Person x Situation interaction wee examined. The first model predicts that there is a relation between personality and the situations people naturally choose to be in; the second model predicts that when there is congruence between the situation and personality, a person will experience more positive and less negative affect. These models were investigated by using mood and activity reports gathered on 3,512 occasions sampled randomly from the everyday lives of 42 subjects. Situational dimensions were related to some but not all personality variables investigated. Need for order predicted choice of typical situations and extraversion correlated with time spent recreating socially. However, it was found that individuals did not spend more time in those settings where they experienced more positive emotions nor less time in those situations where they experienced more negative affect. In terms of the affect-congruence model, several predicted relations wee found, but several others did not reach significance. The failure of the affect-congruence model to be consistently supported was probably because the affect of individuals was relatively consistent across situations. The present results suggest that although some theoretically meaningful Person x Situation interactions do occur, they are not necessarily strong or easily predictable.     

Two item response theory models for analysing normative forced‐choice personality items

This paper proposes two unidimensional item response theory (IRT) models for analysing normative forced‐choice personality items. Both models are derived from a common theoretical framework and arise as a result of different assumptions regarding the mechanism of choice. The simplest mechanism gives rise to the one‐parameter normal‐ogive model. The second mechanism gives rise to a new IRT model, which is closely related to the Coombs–Zinnes probabilistic unfolding model. The second model is compared theoretically to the normal‐ogive model in terms of item characteristic curves and amount of item information. Next, procedures for estimating the respondent and the item parameters in the second model are described. Finally, both models are empirically compared by using two well‐known personality measures.     

An overview of issues related to categorical and dimensional models of personality disorder assessment

Despite long-standing efforts to improve the current diagnostic system for Axis II, problems remain with the categorical conceptualization of personality disorders (PDs). Due in part to these problems, interest has developed in dimensional models of PD classification. In this article, we discuss four issues relevant to categorical vs. dimensional assessment of PDs: (a) problems with self-reports in PD patients, (b) methodological issues in behavioral and clinician assessment of PDs, (c) challenges that arise when dimensional models are applied to patient and nonpatient samples, and (d) clinical implications of categorical and dimensional PD models. We suggest that researchers and clinicians address these concerns to avoid implementing a new PD assessment model that-although different from the current system-would otherwise remain fraught with difficulties.     

Empirically indistinguishable multidimensional IRT and locally dependent unidimensional item response models

Multidimensionality is a core concept in the measurement and analysis of psychological data. In personality assessment, for example, constructs are mostly theoretically defined as unidimensional, yet responses collected from the real world are almost always determined by multiple factors. Significant research efforts have concentrated on the use of simulated studies to evaluate the robustness of unidimensional item response models when applied to multidimensional data with a dominant dimension. In contrast, in the present paper, I report the result from a theoretical investigation that a multidimensional item response model is empirically indistinguishable from a locally dependent unidimensional model, of which the single dimension represents the actual construct of interest. A practical implication of this result is that multidimensional response data do not automatically require the use of multidimensional models. Circumstances under which the alternative approach of locally dependent unidimensional models may be useful are discussed.     

A structural comparison between state and trait self-regulation models

State and trait-regulation models were compared in 315 eleventh-graders using simultaneous confirmatory factor analysis. Each of the first-, second-, and third-order factor models was found to describe the data from both state and trait measures well. In both state and trait self-regulation models, the third-order factor, self-regulation, is composed of metacognition and effort, and the second-order factor, metacognition, is composed of awareness, cognitive strategy, planning, and self-checking. Findings of invariant factor loadings and factor correlations across state and trait measures indicate that the state and trait self-regulatory factor structures are similar. Unlike the state-trait distinctions found in affective personality domain, clear state-trait distinction was not found in this cognitive domain. In both measures, students who engaged more frequently in metacognitive activities and effort use in their mathematical problem solving performed better than those who did not.