A note on structural models for the circumplex

Jöreskog (1974) developed a latent variable model for the covariance structure of the circumplex which, under certain conditions, includes a model for a patterned correlation matrix (Browne, 1977). This model is of limited usefulness, however, in that it employs a known matrix that is rank deficient for many problems. Furthermore, the model is inappropriate for the circumplex which contains negative covariances. This paper presents alternative models for the perfect circumplex and quasi-circumplex that avoids these difficulties, and that includes the important model for a patterned correlation circumplex matrix. Two numerical examples are provided.This research was supported in part by a grant from the Graduate School of the University of Minnesota. I wish to thank M. W. Browne for suggesting the final model presented in this paper. James Steiger and the Editor also made several valuable suggestions.     

Interpersonal personality measures show circumplex structure based on new psychometric criteria

The importance of the interpersonal circle in organizing the interpersonal domain is complemented by its empirical relations with broader personality taxonomies and with more specific personality variables. Yet circumplex structure in interpersonal measures has often been investigated using the "eyeball test" rather than using circumplex criteria of known effectiveness. Simulations (Acton, 1999) showed the effectiveness of 5 exploratory criteria (3 entirely new) that assess the properties of equal spacing, constant radius, and no preferred rotation. Along with Browne's (1992) criterion, these were applied to the Interpersonal Checklist (ICL; LaForge & Suczek, 1955; N = 763), Interpersonal Adjective Scales (IAS; Wiggins, 1979; Ns = 716 and 187), Revised IAS (IAS-R; Wiggins, Trapnell, & Phillips, 1988; N = 474), Inventory of Interpersonal Problems Circumplex Scales (IIP-C; Alden, Wiggins, & Pincus, 1990; Ns = 616 and 1,381), and Inventory of Interpersonal Goals (IIG; Horowitz, Dryer, & Krasnoperova, 1997; N = 318). In corroboration of interpersonal theory, all showed circumplex structure.     

Interpersonal variability in dependent personality

The interpersonal circumplex (IPC) was recommended as a personality trait dimensional model with good potential to identify the phenomenological scope of personality disorders whose core dysfunction involves maladaptive expression of interpersonal traits. The IPC was then applied to the reconceptualization of dependent personality and dependent personality disorder. In Study 1, Pincus and Gurtman's (1995) three interpersonal vectors of dependency were validated via factor analyses conducted on two large samples (N = 921; N = 472) and a reliable self-report measure, the 3 Vector Dependency Inventory (3VDI) was constructed. In Study 2, two samples (N = 103; N = 122) of individuals identified as predominantly endorsing submissive dependence, exploitable dependence, or love dependence, or who were low in aspects of dependency were compared via ANOVA and chi-square analyses on parental representations, adult attachment styles, loneliness, and pathological attachment. Submissive dependence was associated with higher scores on maladaptive constructs (fearful attachment, pathological attachment, and loneliness) and was also associated with lower parental affiliation and higher maternal control. Love dependence was associated with lower scores on maladaptive constructs and higher scores on secure attachment and parental affiliation. Variability in dependent phenomenology was related to its three component traits. Multiple perspectives on integrating love dependence, exploitable dependence, and submissive dependence into a reconceptualization of dependent personality disorder were articulated.     

Evidence for extending the circumplex model of personality trait language to self-reported moods

We show that self-ratings by 141 undergraduates on 17 items form a circumplex that closely agrees with Conte and Plutchik's (1981) circumplex of personality traits. The order of items on a circumplex, generated by self-ratings following a here-and-now instruction set, scarcely differs from that of a circumplex representing the same ratings averaged over a 2-week period. The configuration becomes more elliptical as one moves from the state-like measures (here-and-now ratings) to pure trait measures (averages), but measurement bias is shown to be the most probable cause of the distortion. Allowing for the limitations of small samples of items and raters, the findings show that the circumplex model represents a valid theoretical construct and does not arise from measurement error or from an illusory implicit personality theory.     

Assessing within-person personality variability via frequency estimation: More evidence for a new measurement approach

Variability in personality has been recognized in recent years as an important aspect of personality both conceptually and empirically. A relatively new and efficient method of obtaining variability information is frequency-based personality assessment (Edwards & Woehr, 2007). The purpose of the present research is to further examine the viability of frequency-based personality measurement as an alternative to traditional (Likert-type) measurement and to assess the usefulness of the variance-based parameters. Toward this end, three studies are presented. Specifically, Study 1 examined relationships between a frequency-based measure of the Big Five personality traits and several motivational variables. Study 2 examined the moderating role of temporal consistency information (provided by frequency-based measurement) on relationships between personality and peer ratings of task performance. Study 3 compared the frequency-based measure to a Likert-type measure with respect to each measure’s susceptibility to deliberate response distortion. Results indicated that consistency information increases the predictive validity of agreeableness and conscientiousness and that a frequency-based format is less susceptible to faking than a Likert-type format for conscientiousness, emotional stability, and openness to experience.     

Commentary: comparing the beavers and circumplex models of family functioning

As the cool stream gushed over one hand, she [Annie] spelled into the other the word water, first slowly, then rapidly. I stood still, my whole attention fixed upon the motions of her fingers. Suddenly I felt a misty consciousness as of something forgotten — a thrill of returning thought; and somehow the mystery of language was revealed to me. I knew then that WATER meant the wonderful cool something that was flowing over my hand…. I left the well-house eager to learn. Everything had a name, and each name gave birth to a new thought. As we returned to the house every object which I touched seemed to quiver with life.     

Assessing young adolescents' personality with the five-factor personality inventory

The Five-Factor Personality Inventory (FFPI) assesses a person's position on the (Dutch) psycholexically based Big Five factors: Extraversion, Agreeableness, Conscientiousness, Emotional Stability, and Autonomy. FFPI factor scores are reliable and valid if ratings are made by adults. The present study yields preliminary evidence of whether young adolescents provide reliable and valid self-ratings on this instrument or whether this depends on their cognitive ability level. The sample consisted of a large and representative cohort of youngsters with a mean age of 13 years. The adult structure of the FFPI was generally well replicated, across all ability levels represented in the study. The findings further suggest that young adolescents' factor scores are construct-valid and sufficiently reliable to be used in (group) research settings. However, for reports on individual profiles and decision making, an adolescent's cognitive ability level would need to be rather high. Even then, measuring Autonomy seems challenging.     

Assessing the interpersonal circumplex model in late childhood: the interpersonal behavior questionnaire for children

The authors developed the Interpersonal Behavior Questionnaire for Children with the aim of assessing the constructs of the interpersonal circumplex model, that is, Dominance and Love and their possible combinations, via third- to fifth-grade children's self- and peer reports. In the three studies presented herein, the authors examined several psychometric properties of the questionnaire. Results demonstrated that children's ratings along the questionnaire yielded the hypothesized circumplex structure of the interpersonal variables; that they reached significant association levels with external criteria; and that they were reliable. Specifically, interrater correlations were shown to reach substantive levels when inspected in older children, when scores were aggregated over raters, and when dominant behaviors were evaluated. Overall, the findings demonstrated the tenability of the circumplex model in young ages via children's ratings. The authors suggest that both personality assessment and personality development research may take advantage from using children's evaluations, in addition to adults' ratings of their children's personality.     

Assessing adolescents' personality with the NEO PI-R

The suitability of the Revised NEO Personality Inventory (NEO PI-R) to assess adolescents' personality traits was investigated in an unselected heterogeneous sample of 469 adolescents aged 12 to 17 years. They were further administered the Hierarchical Personality Inventory for Children (HiPIC) to allow an examination of convergent and discriminant validity. The adult NEO PI-R factor structure proved to be highly replicable in the sample of adolescents, with all facet scales primarily loading on the expected factors, independent of the age group. Domain and facet internal consistency coefficients were comparable to those obtained in adult samples, with less than 12% of the items showing corrected item-facet correlations below absolute value .20. Although, in general, adolescents reported few difficulties with the comprehensibility of the items, they tend to report more problems with the Openness to Ideas (05) and Openness to Values (06) items. Correlations between NEO PI-R and HiPIC scales underscored the convergent and discriminant validity of the NEO facets and HiPIC scales. It was concluded that the NEO PI-R in its present form is useful for assessing adolescents' traits at the primary level, but additional research is necessary to infer the most appropriate facet level structure.     

Assessing personality at risk in personnel selection and development

This paper demonstrates the validity and usefulness of a count technique to screen for potential personality dysfunctioning in NEO‐PI‐R ratings obtained in selection and professional development assessments. The usefulness of this screening technique for Industrial, Work and Organizational (IWO) psychologists is demonstrated in five different samples that were administered the NEO‐PI‐R for selection or development purposes. Three additional samples served as normative data to compute FFM PD count cut‐offs that can be used for selection and career development decisions. Evidence for the construct validity of 6 out of 10 FFM PD counts was provided, and all FFM PD compound scales were significantly related to important criteria, including the final selection decision, the results of a behaviourally oriented selection interview and self‐rated work competencies. The practical utility and limitations of this count technique for personnel selection and development are discussed. Copyright © 2008 John Wiley & Sons, Ltd.     

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.     

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.     

Assessing psychopathic personality traits with the MMPI-2

In this study, we examined the utility of the MMPI-2 (Butcher et al., 2001) in assessing psychopathic personality traits. We explored whether MMPI-2 scales that measure affective and interpersonal traits add to the instrument's social deviance measures in assessing global psychopathy and its two facets. Our study of 281 male and female college students indicates that the MMPI-2 Social Deviance scales (e.g., Clinical Scales 4 and 9, ASP) predict substantial variance in the social deviance factor and affiliated subscales of the Psychopathic Personality Inventory (PPI; Lilienfeld & Andrews, 1996), whereas MMPI-2 measures of affective and interpersonal functioning predict substantial variance in the affective-interpersonal PPI factor. In addition, the results of two regression models indicate that the Restructured Clinical scales provide the most parsimonious assessment of psychopathic personality traits.     

The circumplex structure of interpersonal sensitivities

Previous research on aversive interpersonal behavior has provided limited links between interpersonal sensitivities and comprehensive models of personality and social behavior. Study 1 (N = 1,336) of this article demonstrated that interpersonal sensitivities can be mapped onto the interpersonal circumplex and that people generally find others' behavior that is least similar to their own generally most aversive. In Study 2 (N = 299), a broader array of correlates with interpersonal sensitivities was investigated, and results again suggested that interpersonal opposites are generally perceived as most aversive. Study 3 (N = 315) specified romantic, platonic, or nonclose relationships and again found this pattern. Conceptualizing sensitivities with the interpersonal circumplex model permits investigators to distinguish general from specific kinds of sensitivity, allows for tests of the convergent and discriminant validity of interpersonal sensitivities, and integrates sensitivities into a well-established nomological net composed of multiple constructs relevant to social behavior and interpersonal dysfunction.     

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