Examining the construct validity of the Eating Disorder Inventory

The construct validity of the Eating Disorder Inventory (EDI) was examined in 3 samples. An archival clinic sample (n = 318) of women completed the EDI, a structured interview, and the Millon Clinical Multiaxial Inventory-II (MCMI-II). Confirmatory factor analyses (CFAs) indicated that neither null nor 1-factor models of the EDI fit item-level or item-parcel data. The proposed 8-factor model did not fit at the item level but did fit item-parcel data. Reliability estimates of the 8 scales ranged from .82 to .93, and low-to-moderate interscale correlations among the eating and weight-related scales provided partial support for convergent validity. EDI personality scales showed moderate interscale correlations and were associated with MCMI-II scales. A final CFA of the EDI scales supported a 2-factor model (Eating and Weight, Personality) of the 8 EDI scales. Strong associations between depression and several EDI scale scores were found in a treatment study sample (n = 50). The archival clinic sample scored significantly higher on the 8 EDI scales than the nonpatient college comparison sample (n = 487).     

Changes in adolescent response patterns on the MMPI/MMPI--a across four decades

The purpose of this study was to explore changes in adolescent self-presentation on the Minnesota Multiphasic Personality Inventory (MMPI; Hathaway & McKinley, 1940) and MMPI-A (Butcher et al., 1992) over a 40-year period. The primary samples used for comparison in this study include 1,235 adolescents, age 14 through 16, derived from the MMPI-A normative sample (Butcher et al., 1992) collected in 1989 and 10,514 adolescents, age 14 through 16, collected in 1948 and 1954 from Hathaway and Monachesi's (1963) study of adolescent personality and behavior. MMPI basic scale and item-level data were also included for 817 adolescents, age 14 through 16, collected by Colligan and Offord (1992) in 1985 as a further comparison. Between-sample analyses at the profile level revealed that adolescents from the MMPI-A normative sample scored significantly higher across basic clinical scales and lower on validity scales L and K than adolescents from the Hathaway and Monachesi (1963) sample, with mean data from the Colligan and Offord (1992) sample typically falling at a midpoint value. Analyses of Harris-Lingoes (Harris & Lingoes, 1955) subscale and item-level data were conducted to provide refined definitions of the contents of scale-level changes. Results were interpreted as reflecting moderate to large changes in response frequencies between eras of data collection, and emphasis was placed on the relatively high frequency of item endorsements by contemporary adolescents in the clinical direction in the MMPI-A normative sample. A series of cautions and limitations are also offered in interpreting these patterns.     

Six- and ten-item indexes of psychological distress based on the Symptom Checklist-90

Clinicians, provider organizations, and researchers need simple and valid measures to monitor mental health treatment outcomes. This article describes development of 6- and 10-item indexes of psychological distress based on the Symptom Checklist-90 (SCL-90). A review of eight factor-analytic studies identified SCL-90 items most indicative of overall distress. Convergent validity of two new indexes and the previously developed SCL-10 were compared in an archival sample of posttraumatic stress disorder patients (n = 323). One index, the SCL-6, was further validated with archival data on substance abuse patients (n = 3,014 and n = 316) and hospital staff (n = 542). The three brief indexes had similar convergent validity, correlating .87 to .97 with the SCL-90 and Brief Symptom Inventory, .49 to .76 with other symptom scales, and .46 to .73 with changes in other symptom measures over time. These results indicate the concise, easily administered indexes are valid indicators of psychological distress.     

Classification statistical techniques: an applied and comparative study

The aim of this article is to assess and compare three classification statistical techniques--logistic regression, discriminant analysis and classification trees--to identify the personality characteristics associated with the risk of suffering from ischemic cardiovascular acute episodes (ICAE). The sample comprised 313 participants, men and women, aged from 36 to 80. Participants were divided into two groups: a clinical group of patients (n = 143) who were diagnosed as suffering from ICAE, and a control group (n = 170). Both groups were equated in gender, age, socio-economic and educational level. In view of the comparative study of the analytical procedures, we recommend classification trees as the best choice, as it was the most accurate for the individuals in the clinical group, a simple data analysis and a meaningful clinical interpretation. The predictive validity analysis of the MCMI-II allowed the construction of a reduced version made up of 9 personality scales from the 22 scales in the original version. Thus, we could identify the patients with a higher probability of suffering from ICAE, and additionally, generate an empirical model comprising seven and five personality profiles associated, respectively, with the increase and the decrease of the probability of suffering from ICAE.     

Assessing the basic traits associated with psychopathy: development and validation of the Elemental Psychopathy Assessment

A new self-report assessment of the basic traits of psychopathy was developed with a general trait model of personality (five-factor model [FFM]) as a framework. Scales were written to assess maladaptive variants of the 18 FFM traits that are robustly related to psychopathy across a variety of perspectives including empirical correlations, expert ratings, and translations of extant assessments. Across 3 independent undergraduate samples (N = 210-354), the Elemental Psychopathy Assessment (EPA) scales proved to be internally consistent and unidimensional, and were strongly related to the original FFM scales from which they were derived (mean convergent r = .66). The EPA scales also demonstrated substantial incremental validity in the prediction of existing psychopathy measures over their FFM counterparts. When summed to form a psychopathy total score, the EPA was substantially correlated with 3 commonly used psychopathy measures (mean r = .81). Finally, in a small male forensic sample (N = 70), the EPA was significantly correlated with scores on a widely used self-report psychopathy measure, disciplinary infractions, alcohol use, and antisocial behavior. The EPA provides an opportunity to examine psychopathy and its nomological network through smaller, more basic units of personality rather than by scales or factors that blend these elements.     

Validation of the Wisconsin Personality Disorders Inventory-IV with the SCID-II

The Wisconsin Personality Disorders Inventory (WISPI-IV; Klein & Benjamin, 1996) is the latest version of a self-report measure of DSM-IV personality disorders (PDs) derived from an interpersonal perspective. When categorical diagnoses derived from the WISPI-IV were compared with independent SCID-II diagnoses, the majority of the kappas were poor (>.40). However, all but one of the effect sizes for the differences in WISPI-IV means between groups with and without SCID-II diagnoses were large (>.80). When SCID-II and WISPI-IV dimensional scores were considered, the average r between profiles was .61 (median = .58) and correlations between corresponding PD scales (mean diagonal r = .48; mean off-diagonal r = .18) indicated good convergent and discriminant validity for five of the WISPI-IV scales. These results add to the cumulating evidence suggesting greater reliability and validity of dimensional over categorical scores for PDs. Researchers and clinicians interested in having an efficient method of assessing PDs may consider using a dimensional approach such as the WISPI-IV as an alternative to diagnostic interview.     

A Five-Factor Measure of Avoidant Personality: The FFAvA

A new self-report assessment of the basic traits of avoidant personality disorder (AVD) was developed using a general trait model of personality (Five-factor model; FFM) as a framework. Scales were written to assess maladaptive variants of 10 FFM traits found to be robustly related to AVD across a variety of methods. In a sample of 291 undergraduates, the scales from the Five Factor Avoidant Assessment (FFAvA) proved to be internally consistent and strongly related to the original FFM scales from which they were derived. The FFAvA scales also demonstrated substantial incremental validity in the prediction of existing AVD measures and indexes of social discomfort over their FFM counterparts. The FFAvA provides an opportunity to examine AVD and its correlates using smaller, more basic units of personality rather than more global symptoms that might blend these elements.     

A Five-Factor Measure of Avoidant Personality: The FFAvA

A new self-report assessment of the basic traits of avoidant personality disorder (AVD) was developed using a general trait model of personality (Five-factor model; FFM) as a framework. Scales were written to assess maladaptive variants of 10 FFM traits found to be robustly related to AVD across a variety of methods. In a sample of 291 undergraduates, the scales from the Five Factor Avoidant Assessment (FFAvA) proved to be internally consistent and strongly related to the original FFM scales from which they were derived. The FFAvA scales also demonstrated substantial incremental validity in the prediction of existing AVD measures and indexes of social discomfort over their FFM counterparts. The FFAvA provides an opportunity to examine AVD and its correlates using smaller, more basic units of personality rather than more global symptoms that might blend these elements.     

Personality disorder correspondence between the million behavioral health inventory (MBHI) and the minnesota multiphasic personality inventory (MMPI)

The MBHI and MMPI personality disorder scales were analyzed for convergent and discriminant validity. Correlational data demonstrated that six of the eight scales were significantly related, while the remaining two scales approached significance. Further analyses of these data, however, demonstrated that none of the scales correlated significantly better with its convergent scale compared to nonconvergent scales. The MBHI classified significantly more of the sample as personality disordered (93%) compared to the MMPI personality disorder scales (17%). Furthermore, the MBHI tended to describe the sample as falling within the Anxious cluster of personality disorders, whereas the MMPI described them within the Dramatic cluster. Single scale codetype correspondence was found to be 15%, while two-point concordance was 12.5%, indicating very low congruence between personality style codetypes. These two measures do not appear to be measuring the same personality style constructs.     

Convergent validity of the MCMI-III personality disorder scales and the MMPI-2 scales

The MCMI-III personality disorder scales (Millon, 1994) were empirically validated in a sample of prisoners, psychiatric inpatients, and outpatients (N = 477). The scale intercorrelations were congruent with those obtained by Millon, Davis, and Millon (1997). We conclude that our Flemish/Dutch version shows no significant differences with the original version of the MCMI-III as far as intercorrelations are concerned. Convergent validity of the MCMI-III personality disorder scales was evaluated by the correlational data between the MCMI-III personality disorder scales and the MMPI-2 clinical (Butcher, Dahlstrom, Graham, Tellegen, & Kaemmer, 1989) and personality disorder (Somwaru & Ben-Porath, 1995) scales. Improved convergence was obtained compared with previous versions of the MCMI-I. Only the compulsive MCMI-III personality disorder scale remains problematic. The scale even showed negative correlations with some of the related clinical scales and with the corresponding personality disorder scales of the MMPI-2.     

Self-reported personality disorder in the children in the community sample: convergent and prospective validity in late adolescence and adulthood

Approximately 800 youths from the Children in the Community Study (Cohen & Cohen, 1996) have been assessed prospectively for over 20 years to study personality disorders (PDs) in adolescents and young adults. In this article we evaluate the Children in the Community Self-Report (CIC-SR) Scales, which were designed to assess DSM-IV PDs using self-reported prospective data from this longitudinal sample. To evaluate convergent validity, we assessed concordance between the CIC-SR Scales and the Structured Clinical Interview for DSM-IV Personality Disorders (SCID-II; First, Gibbon, Spitzer, Williams, & Benjamin, 1995) in 644 participants at mean age 33. To assess predictive validity, we used CIC-SR Scales at mean age 22 to predict subsequent CIC-SR and SCID-II Personality Questionnaire scores at mean age 33. In these analyses the CIC-SR Scales matched or exceeded benchmarks established in previous comparisons between self-report instruments and structured clinical interviews. Unlike other self-report scales, the CIC-SR did not appear to overestimate diagnoses when compared with SCID-II clinical diagnoses.     

Cross-sectional studies of personality in a national sample: 1. Development and validation of survey measures

Short scales were developed to measure three broad dimensions of personality in the National Health and Nutrition Examination Survey (NHANES I) Epidemiologic Followup Study. Items to measure neuroticism were selected rationally from the General Well-Being Schedule, and items to measure extraversion and openness to experience were selected by multiple regression from the NEO Personality Inventory. In a sample of 654 men and women from the Augmented Baltimore Longitudinal Study of Aging, all three short scales showed clear evidence of convergent and discriminant validity against full scales in self-reports, and against peer and spouse ratings. Because they were developed and validated on a sample with a comparable age range, the NHANES scales should be useful in examining age trends in these three personality dimensions in a national sample.     

A quantitative review of the comprehensiveness of the five-factor model in relation to popular personality inventories

Reports of associations between the five-factor model (FFM) and the scales of popular personality inventories have generated controversy regarding the comprehensiveness of the FFM. The controversy is fueled by a preoccupation with capturing scale variance and differentiating between specific scales, whereas the focus should instead be on whether the FFM captures the common variance and the dimensions that exist in personality constructs. Analyses of published data revealed that the portions of scale variance captured by the FFM (mean = 38%) were substantial when evaluated in relation to the portions of common variance that exist in most personality inventories (mean = 50%). Furthermore, interbattery factor analyses indicated that the factor structures in most personality inventories can be closely replicated using data derived solely from scale associations with the FFM. Exceptions to this finding occurred for only 2 of 28 personality inventories. The findings support the comprehensiveness of the FFM.     

Five-factor measure of borderline personality traits

This study provides psychometric data for a new self-report measure of borderline personality traits from the perspective of the Five-factor model (FFM) of general personality. Subscales were constructed in an undergraduate sample (n = 109) to assess maladaptive variants of 12 FFM traits (e.g., Affective Dysregulation as a maladaptive variant of FFM Vulnerability). On the basis of data from a second undergraduate sample (n = 111), the Five Factor Borderline Inventory (FFBI) subscales were shown to have good internal consistency, convergent, discriminant, and incremental validity. These psychometric results were replicated in a clinical sample of female residents at a substance abuse treatment facility (n = 94).     

Assessment of anxiety in older adults: a community-based survey and comparison with younger adults

The reliability and validity of existing anxiety self-report scales in elderly adults has not been adequately established, and the phenomenology of anxiety in older adults is largely unknown. In the present study, three anxiety scales and measures of depression and somatization were used to compare symptoms between older (n = 84, mean age = 75.3) and younger (n = 48, mean age = 40.3) community-dwelling adults. Results showed that the anxiety scales demonstrated good internal consistency in both age groups, although the reliabilities of the Fear Questionnaire subscales ranged from poor to good. Convergent and divergent validity were found to be variable in the older group, but this may reflect differences in anxiety as it occurs in older persons rather than psychometric problems. Anxiety symptoms did not vary with age, and levels of anxiety also remained constant. However, gender differences were found only within the older age group, with women reporting more anxiety than men. Findings are discussed with respect to current conceptualizations of anxiety in older people, as well as implications for future research.     

On the invalidity of validity scales: evidence from self-reports and observer ratings in volunteer samples

Because of the potential for bias and error in questionnaire responding, many personality inventories include validity scales intended to correct biased scores or identify invalid protocols. The authors evaluated the utility of several types of validity scales in a volunteer sample of 72 men and 106 women who completed the Revised NEO Personality Inventory (NEO-PI-R; P. T. Costa & R. R. McCrae, 1992) and the Multidimensional Personality Questionnaire (MPQ; A. Tellegen, 1978/1982) and were rated by 2 acquaintances on the observer form of the NEO-PI-R. Analyses indicated that the validity indexes lacked utility in this sample. A partial replication (N = 1,728) also failed to find consistent support for the use of validity scales. The authors illustrate the use of informant ratings in assessing protocol validity and argue that psychological assessors should limit their use of validity scales and seek instead to improve the quality of personality assessments.     

艾森克人格问卷简式量表中国版(EPQ-RSC)的修订

该文引进艾森克人格问卷简式量表（EPQ-RShortScale,EPQ-RS）,首次在国内加以修订。根据来自30个省市56个地区的8637人（含汉族7725人）的样本数据,修订形成了艾森克人格问卷简式量表中国版（EPQ-RSC）,共包括4个分量表,各12个项目,这一形式和EPQ-RS相同。作者并基于本研究的样本提供了EPQ-RSC的中国常模。研究表明该问卷的E、N和L三个分量表具有令人满意的信度和效度,P量表的信度和效度基本达到有关的心理测量学标准。作者最后对此问卷的信效度结果以及问卷结果反映的当代中国人人格特点进行了讨论。     

Psychometric appraisal of the Scale for Interpersonal Behavior (SIB) in France.

The present study was carried out in France to evaluate the reliability and validity of the Scale for Interpersonal Behavior (SIB), a multidimensional measure of difficulty and distress in assertiveness that was originally developed in The Netherlands. This appraisal was conducted with a clinical sample (N = 166) and a general population sample (N = 150). The clinical series comprised 115 patients with social phobia and 51 patients with personality disorder, 28 of whom were of the avoidant type. Support was found for internal consistency and test-retest reliability of the French SIB. Compared to controls, both social phobics and patients with an avoidant personality disorder had significantly lower mean scores on all performance scales and significantly higher ones on all distress scales, with the social phobics occupying a position in between. Findings in relation to convergent and divergent validity were quite satisfactory. Sensitivity of the French SIB for detecting change was demonstrated in a subgroup of the clinical Ss who had undergone 15 sessions of cognitive-behavioral group therapy for underassertiveness.     

Personality and absenteeism: a meta‐analysis of integrity tests

Until recently, research focus has been on a variety of demographic, attitudinal, and organizational variables in predicting and explaining absenteeism. If personality traits predict absenteeism, then it may be possible to use measures of these traits to identify and select job applicants and thereby reduce absenteeism rates. In this research, our goal was to examine whether integrity tests could be used to predict absenteeism. Meta‐analysis was applied to studies of the validity of pre‐employment integrity tests for predicting voluntary absenteeism. Twenty‐eight studies based on a total sample of 13 972 were meta‐analysed. The estimated mean predictive validity of personality‐based integrity tests was 0.33. This operational validity generalized across various predictor scales, organizations, settings, and jobs (SD_ρ = 0.00). Overt integrity tests, however, showed much lower predictive validity for absenteeism and greater variability than personality‐based tests (ρ = 0.09; SD_ρ = 0.16). The results indicate that a personnel selection approach to reducing absenteeism in organizations may be a useful strategy, particularly if personality‐based integrity tests are utilized. Potential explanations for differences between these results and those found for Big Five measures of personality are offered. Future research investigating models of absenteeism should incorporate the personality constructs assessed by integrity tests. Copyright © 2003 John Wiley & Sons, Ltd.