Mixture Modeling Methods for the Assessment of Normal and Abnormal Personality,Part II: Longitudinal Models

Studying personality and its pathology as it changes, develops, or remains stable over time offers exciting insight into the nature of individual differences. Researchers interested in examining personal characteristics over time have a number of time-honored analytic approaches at their disposal. In recent years there have also been considerable advances in person-oriented analytic approaches, particularly longitudinal mixture models. In this methodological primer we focus on mixture modeling approaches to the study of normative and individual change in the form of growth mixture models and ipsative change in the form of latent transition analysis. We describe the conceptual underpinnings of each of these models, outline approaches for their implementation, and provide accessible examples for researchers studying personality and its assessment.     

Assessing Normal and Abnormal Personality Functioning: Strengths and Weaknesses of Self-Report,Observer, and Performance-Based Methods

Three clinical psychologists were asked to rate the MAPS figures in terms of how much social withdrawal from people the usage of the type of figure would represent if it were used on the test. Their mean ratings were compared with the actual MAPS test performances of normal and schizophrenic patients. The data indicated that, although, psychologists could reliably rate the amount of social withdrawal associated with the figure types, there was no difference in social withdrawal scores between normals and schizophrenics.     

Introduction to the Special Section on Mixture Modeling in Personality Assessment

Latent variable models offer a conceptual and statistical framework for evaluating the underlying structure of psychological constructs, including personality and psychopathology. Complex structures that combine or compare categorical and dimensional latent variables can be accommodated using mixture modeling approaches, which provide a powerful framework for testing nuanced theories about psychological structure. This special series includes introductory primers on cross-sectional and longitudinal mixture modeling, in addition to empirical examples applying these techniques to real-world data collected in clinical settings. This group of articles is designed to introduce personality assessment scientists and practitioners to a general latent variable framework that we hope will stimulate new research and application of mixture models to the assessment of personality and its pathology.     

Inconsistent Models of Arithmetic Part I: Finite Models

The paper concerns interpretations of the paraconsistent logic LP which model theories properly containing all the sentences of first order arithmetic. The paper demonstrates the existence of such models and provides a complete taxonomy of the finite ones.     

Dimensions of Normal and Abnormal Personality: Elucidating DSM‐IV Personality Disorder Symptoms in Adolescents

ABSTRACT The present study aimed to elucidate dimensions of normal and abnormal personality underlying DSM‐IV personality disorder (PD) symptoms in 168 adolescents referred to mental health services. Dimensions derived from the Big Five of normal personality and from Livesley's (2006) conceptualization of personality pathology were regressed on interview‐based DSM‐IV PD symptom counts. When examined independently, both models demonstrated significant levels of predictive power at the higher order level. However, when added to the higher order Big Five dimensions, Livesley's higher and lower order dimensions afforded a supplementary contribution to the understanding of dysfunctional characteristics of adolescent PDs. In addition, they contributed to a better differentiation between adolescent PDs. The present findings suggest that adolescent PDs are more than extreme, maladaptive variants of higher order normal personality traits. Adolescent PDs seem to encompass characteristics that may be more completely covered by dimensions of abnormal personality. Developmental issues and implications of the findings are discussed.     

Self-Images without Awareness and Projective Methods of Personality Assessment

Ss' responses to tachistoscopic exposures of self-photographs have been suggested as one approach to self-images without awareness. Sixty-three Ss completed a Q sort for themselves and after tachistoscopic exposure of their own and control photographs, for the persons in the photographs. Ss also completed the Structured-Objective Rorschach Test and Rotter Incomplete Sentences Blank. The self was sorted most favorably, the control tachistoscopic exposure significantly less favorably, and the self tachistoscopic exposure significantly less favorably than the control. These differences were found to be related to sex and adjustment measured with the Rotter. The SORT correlated insignificantly with Q sort and Rotter.     

Structural Equation Modeling: Basic Concepts and Applications in Personality Assessment Research

Structural equation modeling (SEM) has become an increasingly used methodological strategy in psychology. Nevertheless, many psychologists continue to be unclear about how to apply this analytic tool in their research. This article reviews SEM from a conceptual perspective, particularly focusing on confirmatory factor analysis. Additionally, the relation between SEM and other analytic techniques (e.g., exploratory factor analysis) are addressed. A confirmatory factor analytic example is presented and reviewed in detail. Finally, limitations of SEM and other considerations are discussed.     

Latent Variable Mixture Modeling of Ecological Momentary Assessment Data: Implications for Screening and Adolescent Mood Profiles

Ecological momentary assessment (EMA) studies typically rely on arbitrary decision rules for identifying and excluding invalid responses from the data. In addition, most studies treat independent variables as separate from each other even if their combinations might have importance above the independent contribution of each. Our study aimed to conduct an exploratory latent profile analysis of EMA data to demonstrate an empirical method of identifying invalid responses, and to provide a preliminary investigation of mood profiles. We recruited 20 adolescents between the ages of 13–18 to complete 4 surveys about their internal states each day for 20 days. Participants provided responses on study smartphones using an Android app developed by the study team. Our profile analysis revealed 9 independent profiles. We determined that 3 of these profiles consisted of invalid responses because the integers provided by the participant were nearly invariant. The invalid responses comprised 24.9% of the sample. We also identified 6 valid profiles that were labeled: fatigued (8.7%), good mood/energetic (19.9%), angry/depressed (2.3%), good mood (37.1%), angry (5.7%), and depressed (1.4%). One important implication of the current study is that researchers and clinicians should screen electronic diary data, especially for invariant responding. In addition, it is important for clinicians to note that more than one internal state may drive the mood of an adolescent patient.     

A General Factor of Personality in the Millon Clinical Multiaxial Inventory-III, the Dimensional Assessment of Personality Pathology, and the Personality Assessment Inventory

A General Factor of Personality (GFP) occupies the apex of the hierarchy in three prominent personality disorder inventories. On the Millon Clinical Multiaxial Inventory-III, a GFP accounted for 41% of the variance in two second-order factors, 31% of the variance in five first-order factors, and 26% of the variance in all 24 scales. On the Dimensional Assessment of Personality Pathology, a GFP accounted for 61% of the variance in six first-order factors and 36% of the variance in all 18 scales. In a cross-validation study of the Personality Assessment Inventory, a GFP accounted for 65% of the variance in two second-order factors, 47% of the variance in five first-order factors, and 27% of the variance in all 18 scales.     

Society for Personality Assessment,Inc.: Information for Membership Applicants

An uncritical analysis of the empirical Rorschach literature in the area of suicide could lead one to conclude that the test has little value for the identification, prediction and understanding of suicide. It was felt that the reasons for this could be related to the several inconsistencies in methodology and design found among the studies. The research data were classified into four groups (1) determinants and ratios, (2) single signs, (3) multiple signs, and (4) content, and reviewed from a methodological standpoint. From this analysis it was concluded that there was no specific pathognomic sign for suicide on the Rorschach. It was also pointed out that certain difficulties (“paper” investigations, and research conditions which mediate against significance at the .05 level) reduce the effectiveness of the Rorschach investigator. Certain methodological and design weaknesses were discussed in terms of their contributing to equivocality among the studies. Comparisons between the studies cited were difficult to make because of their differing experimental designs and operational definitions of suicide. Because of this, the Rorschach itself cannot be held culpable for the equivocal results.     

Algorithmic Proof Methods and Cut Elimination for Implicational Logics Part I: Modal Implication

In this work we develop goal-directed deduction methods for the implicational fragment of several modal logics. We give sound and complete procedures for strict implication of K, T, K4, S4, K5, K45, KB, KTB, S5, G and for some intuitionistic variants. In order to achieve a uniform and concise presentation, we first develop our methods in the framework of Labelled Deductive Systems [Gabbay 96]. The proof systems we present are strongly analytical and satisfy a basic property of cut admissibility. We then show that for most of the systems under consideration the labelling mechanism can be avoided by choosing an appropriate way of structuring theories. One peculiar feature of our proof systems is the use of restart rules which allow to re-ask the original goal of a deduction. In case of K, K4, S4 and G, we can eliminate such a rule, without loosing completeness. In all the other cases, by dropping such a rule, we get an intuitionistic variant of each system. The present results are part of a larger project of a goal directed proof theory for non-classical logics; the purpose of this project is to show that most implicational logics stem from slight variations of a unique deduction method, and from different ways of structuring theories. Moreover, the proof systems we present follow the logic programming style of deduction and seem promising for proof search [Gabbay and Reyle 84, Miller et al. 91].     

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.     

Investigating the Big Five Personality Factors and Smoking: Implications for Assessment

Global personality dispositions may be important for understanding population-based individual differences in smoking outcomes, yet few studies have been executed using measures of these global dispositional constructs from the contemporary field of personality. This study explored whether the Big Five personality factors (Extraversion, Neuroticism, Agreeableness, Conscientiousness, and Intellect) were concurrently associated with key smoking (e.g., nicotine dependence, smoking rate, age at first cigarette) and cessation (e.g., self-efficacy to quit, motivation to quit, number of prior quit attempts, length of most recent quit) variables in a sample of regular smokers (n = 130). Of the 35 correlations computed, only 2 were significant: Intellect was positively correlated with motivation to quit and number of 24-hr quit attempts in the last year. These results have implications for using trait variables to study individual differences in smokers.     

Society for Personality Assessment,Incorporated Minutes of the Board of Trustees Meeting

When the record of both parents is considered together, we see a constellation in which the parental figures are each struggling to achieve gratification for strong dependency needs with the mother being the stronger and better integrated person but with exhibitionistic trends which may appear seductive to the child. Thus, for a male child who has the constellation of a weak dependent father and a somewhat disturbed exhibitionistic mother with unresolved dependency, the boy's identification as a male will have many vicissitudes. It is likely that, in many ways, he will be caught not only in the individual needs of these parents but in their difficult symbiotic relationship.     

Assessment and DSM-IV Diagnosis of Personality Disorders: A Primer for Counselors

The DSM-IV categorizes 10 personality disorders, long-term patterns of personality traits that result in impairment of social and occupational functioning. The author details steps in the recognition and diagnosis of personality disorders, with emphasis on using the DSM-IV diagnostic framework.     

Dreaming,cognition, and physical illness: Part I

Part I of a two part article on the effect upon dreaming on physical illness briefly explores the historical medico-philosophical antecedents of the notion that dreams can be diagnostic of bodily disease. Modern sleep research findings relating REM sleep to physiologic changes are also explored. The controversy of whether dreams are merely the consequence of random brain activity or whether they are a valid psychological phenomenon is discussed. Six contemporary views of the function of REM sleep are outlined. A seventh view of dreaming, that of a “cognitive monitoring system” is suggested. Like earlier historical notions, it is suggested that dreaming is a cognitive activity that processes bodily cues indicating illness or disease. Part II. presents a clinical compendium of dreams relating to Part I.     

Abstract: Local Influence and Robust Methods for Mediation Models

Mediation analysis investigates how certain variables mediate the effect of predictors on outcome variables. Existing studies of mediation models have been limited to normal theory maximum likelihood (ML) or least squares with normally distributed data. Because real data in the social and behavioral sciences are seldom normally distributed and often contain outliers, classical methods can result in biased and inefficient estimates, which lead to inaccurate or unreliable test of the meditated effect. The authors propose two approaches for better mediation analysis. One is to identify cases that strongly affect test results of mediation using local influence methods and robust methods. The other is to use robust methods for parameter estimation, and then test the mediated effect based on the robust estimates. Analytic details of both local influence and robust methods particular for mediation models were provided and one real data example was given. We first used local influence and robust methods to identify influential cases. Then, for the original data and the data with the identified influential cases removed, the mediated effect was tested using two estimation methods: normal theory ML and the robust method, crossing two tests of mediation: the Sobel (1982) Sobel, M. E. 1982. “Asymptotic confidence intervals for indirect effects in structural equation models”. In Sociological methodology, Edited by: Leinhardt, S. 290–312. Washington, DC: American Sociological Association. [Crossref] , [Google Scholar] test using information-based standard error (z _I ) and sandwich-type standard error (z _SW ). Results show that local influence and robust methods rank the influence of cases similarly, while the robust method is more objective. The widely used z _I statistic is inflated when the distribution is heavy-tailed. Compared to normal theory ML, the robust method provides estimates with smaller standard errors and more reliable test.