A multigroup confirmatory factor analysis of the Patient Health Questionnaire-9 among English- and Spanish-speaking Latinas

Depression is a significant problem for ethnic minorities that remains understudied partly due to a lack of strong measures with established psychometric properties. One screening tool, the Patient Health Questionnaire-9 (PHQ-9), which was developed for use in primary care has also gained popularity in research settings. The reliability and validity of the PHQ-9 has been well established among predominantly Caucasian samples, in addition to many minority groups. However, there is little evidence regarding its utility among Hispanic Americans, a large and growing cultural group in the United States. In this study, we investigated the reliability and structural validity of the PHQ-9 in Hispanic American women. A community sample of 479 Latina women from southern California completed the PHQ-9 in their preferred language of English or Spanish. Cronbach's alphas suggested that there was good internal consistency for both the English- and Spanish-language versions. Structural validity was investigated using multigroup confirmatory factor analysis. Results support a similar one-factor structure with equivalent response patterns and variances among English- and Spanish-speaking Latinas. These results suggest that the PHQ-9 can be used with confidence in both English and Spanish versions to screen Latinas for depression.     

Traumatization of group leaders in their work with displaced persons

Displaced persons are a special, threatened group of people, participants in this war, who were suddenly forced to abandon their homes. The majority of them were, overnight, left without anything they had, some even without their closest family. They all have one thing in common: they have all lost so much. Work with such people is directed toward overcoming their feelings of loss and abandonment and preventing psychical decompensation. Groups of displaced persons temporarily sheltered in the Rijeka region have been observed to be markedly regressed, with increased sensitivity, a low degree of tolerance, great demands on society and strongly expressed projective tendencies. Therapists suffer personal traumatization in working with displaced persons. This paper describes the reactions and feelings of group leaders caused by manifestations of group dynamics in different phases of exile.     

The insanity defense: Legal standards and clinical assessment

Although the insanity defense is used infrequently, it has received significant attention from legal and mental health professionals. In this article, we review the historical development of insanity defense standards and describe the standards currently employed in the United States. We present a model for evaluating a defendant's mental nonresponsibility, and we briefly discuss the legal standards and procedures for the assessment of insanity acquittees for release. Throughout the article, we discuss some scientific, ethical, and jurisprudential issues associated with the insanity defense and nonresponsibility evaluations.     

FACSGen 2.0 animation software: generating three-dimensional FACS-valid facial expressions for emotion research

In this article, we present FACSGen 2.0, new animation software for creating static and dynamic three-dimensional facial expressions on the basis of the Facial Action Coding System (FACS). FACSGen permits total control over the action units (AUs), which can be animated at all levels of intensity and applied alone or in combination to an infinite number of faces. In two studies, we tested the validity of the software for the AU appearance defined in the FACS manual and the conveyed emotionality of FACSGen expressions. In Experiment 1, four FACS-certified coders evaluated the complete set of 35 single AUs and 54 AU combinations for AU presence or absence, appearance quality, intensity, and asymmetry. In Experiment 2, lay participants performed a recognition task on emotional expressions created with FACSGen software and rated the similarity of expressions displayed by human and FACSGen faces. Results showed good to excellent classification levels for all AUs by the four FACS coders, suggesting that the AUs are valid exemplars of FACS specifications. Lay participants' recognition rates for nine emotions were high, and comparisons of human and FACSGen expressions were very similar. The findings demonstrate the effectiveness of the software in producing reliable and emotionally valid expressions, and suggest its application in numerous scientific areas, including perception, emotion, and clinical and neuroscience research.     

Modelling the Direct and Indirect Effects of Positive Emotional and Cognitive Traits and States on Social Judgements

It was hypothesised that positive affective states and situational information-processing demands would differentially influence the favourability of social judgements of a target social group. These hypothesised direct effects on social judgements were subsequently incorporated into a broader statetrait model of the social judgement process, whereby direct and indirect effects of personality and cognitive traits, along with positive affective states and information-processing demands (i.e. cognitive state), were also hypothesised to influence social judgements. Three hundred and eight subjects reported their trait levels of introversion-extraversion and need for cognition, and were subsequently induced into an affective state (content, happy, surprise, or neutral) and a cognitive state (heuristic or substantive information processing). Results indicated that study participants who were manipulated into either a content or a happy affect state made more positive judgements about the target group than study participants who were manipulated into either a surprised or a neutral state. Moreover, when the cognitive demands of the situation were low, a cognitive trait (need for cognition) and the affective state directly influenced the social judgement. H owever, when the cognitive demands of the situation were high, only an indirect effect of affective state through a cognitive state influenced the social judgement. Discussion focused on the components of the state-trait model of the social judgement process as it applies to positive affective states.     

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Abstract

Confirmatory factor analyses (CFAs) were employed to test the factorial validity and structure of the Proactive Coping Inventory (PCI; Greenglass, Schwarzer, Jakubiec, Fiksenbaum, &; Taubert, 1999) in a large multiethnic sample (n=709). CFAs conducted on each individual scale of the PCI supported congeneric measurement. However, when the scales of the PCI were tested simultaneously in a model, a 3-factor model representing Logical Analysis/Problem Solving, Social Support, and Avoidance fit as well as both a 5- and the original 7-factor model. Moreover, strong redundancy among factors of both the 5- and 7-factor models suggested that these models did not represent the PCI well. In addition, multigroup analyses revealed that the parameters (e.g., factor loadings, item intercepts) of the 3-factor model were largely invariant across gender and ethnic groups. Discussion focuses on the interpretability of the 3-factor model of the PCI, and particularly in relation to traditional measures of reactive coping.     

A Test of the Factor Structure Equivalence of the 50-Item IPIP Five-Factor Model Measure Across Gender and Ethnic Groups

The study aims were to identify the interpersonal style characteristics of Vietnam Era veterans by comparison with World War II veterans. The sample included 3,075 veterans in treatment in 47 VA health care facilities. Patients were categorized as medical-surgical, psychiatric, and drug addicted, and divided by age into the 24 or less, and the 45 to 55 age groups. The measuring device was the Interpersonal Style Inventory. Group differences on the 17 scores were tested by discriminant function analyses. The Vietnam Era veterans were found to be more rebellious, mistrustful, adventure-seeking and expedient than the older veterans.     

Psychometric Evaluation of the Spanish Versions of the Perceived Religious Influence on Health Behavior Scale and the Illness as Punishment for Sin Scale in a Sample of Churchgoing Latinas

The present study evaluated the psychometric properties of the Spanish versions of the Perceived Religious Influence on Health Behavior scale and the Illness as Punishment for Sin scale in a sample of churchgoing Latina women (N = 404). For the Perceived Religious Influence on Health Behavior scale, confirmatory factor analysis provided support for the expected one-factor model, internal consistency reliability was good, and there was evidence of convergent validity. For the Illness as Punishment for Sin scale, confirmatory factor analysis provided support for the expected one-factor model, but on a revised seven-item version of the measure. Internal consistency reliability and convergent validity for this revised version were good. It is recommended that future studies use the Perceived Religious Influence on Health Behavior scale and the revised Illness as Punishment for Sin scale when examining these constructs among Latina women.     

A latent profile analysis of the Five Factor Model of personality: Modeling trait interactions

Interactions among the dimensions of the Five Factor Model (FFM) have not typically been evaluated in mental health research, with the extant literature focusing on bivariate relationships with psychological constructs of interest. This study used latent profile analysis to mimic higher-order interactions to identify homogenous personality profiles using the FFM, and also examined relationships between resultant profiles and affect, self-esteem, depression, anxiety, and coping efficacy. Participants (N = 371) completed self-report and daily diary questionnaires. A 3-profile solution provided the best fit to the data; the profiles were characterized as well-adjusted, reserved, and excitable. The well-adjusted group reported better psychological functioning in validation analyses. The reserved and excitable groups differed on anxiety, with the excitable group reporting generally higher anxiety than the reserved group. Latent profile analysis may be a parsimonious way to model personality heterogeneity.