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1.
Although hoarding has been associated with several psychological disorders, it is most frequently linked to obsessive-compulsive disorder (OCD). The present study assessed hoarding obsessions and compulsions in 204 individuals with OCD, and evaluated how hoarding was related to obsessive-compulsive symptom severity, psychological comorbidity, and personality as measured by the five-factor model. Results indicated that hoarding in OCD is a dimensional variable that is positively associated with dysphoria, total number of lifetime Axis I disorders, and lifetime histories of bipolar I, PTSD, and body dysmorphic disorder. Hoarding was negatively correlated with the NEO-Personality Inventory-Revised (NEO-PI-R) factor of Conscientiousness and positively associated with the NEO-PI-R factor of Neuroticism. When all personality and psychopathology variables were entered into a regression equation, dysphoria, bipolar II disorder, Conscientiousness, age, and Extraversion emerged as significant predictors of hoarding severity. Recommendations are made for clinicians and for future research.  相似文献   

2.
Associations between personality and health may be influenced by contextual factors varying across studied cohorts. Moreover, measurement bias related to contextual factors could also influence these associations. Gender and age have been discussed as important contextual factors when studying personality and health outcomes. An examination of measurement invariance across gender and age may therefore be warranted. In the present study, measurement invariance across age and gender was examined for a five-factor model of personality traits in which scales have been included to operationalise lower-order traits related to health-behaviour or health outcomes. Using multi-group confirmatory factor analysis on a population based cohort (n= 5700), all important parameters of the measurement model were found to be invariant. On the basis of this invariant model, hypotheses of mean differences across age and gender in personality traits were tested. These results were discussed in relation to meta-analyses on personality change and gender differences in personality.  相似文献   

3.
In the present cross-national comparison, self-reported Big Five personality data on large samples of Dutch (N = 1521) and Italian (N = 1975) adolescents were employed. Results suggest that the personality of Dutch and Italian adolescents can be described by the same Big Five traits, but that these might have slightly different meanings to the Dutch and Italian adolescent respondents. Supplementary analyses uncovered that sex differences are largest among Italian adolescents. Further comparisons reveal subtle cross-national differences in personality-psychopathology relationships, with stronger associations of Emotional Stability with depression for Italian when compared to Dutch adolescents. Results underscore that cross-national comparisons of personality may be alluring to use in research, however the findings of these comparisons should be interpreted with caution.  相似文献   

4.
Four instruments—the NEO-Five-Factor Inventory (NEO-FFI), the Adjective Check List (ACL), the Myers–Briggs Type Indicator (MBTI) and the California Child Q-Set (CCQ)—and two data sources—self reports and parental ratings—were used to assess personality dimensions according to the five-factor model of personality in 870 academically talented youth (mean age = 13.77) from the U.S.A. Data from the parents of 565 of these children were also analysed. The factor structure of the self and parent reports, the convergence between the two sources of reports and the correlations of the adjectives in the ACL with the scores on the NEO-FFI were all consistent with previous results obtained from adults. The findings largely support the notion that the five-factor model as derived from data from adults is applicable to academically talented youth.  相似文献   

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Investigating sources of within- and between-group differences and measurement invariance (MI) across groups is fundamental to any meaningful group comparison based on observed test scores. It is shown that by placing certain restrictions on the multigroup confirmatory factor model, it is possible to investigate the hypothesis that within- and between-group differences are due to the same factors. Moreover, the modeling approach clarifies that absence of measurement bias implies common sources of within- and between-group variation. It is shown how the influence of background variables can be incorporated in the model. The advantages of the modeling approach as compared with other commonly used methods for group comparisons is discussed and illustrated by means of an analysis of empirical data.  相似文献   

7.
Health anxiety (HA) involves persistent worry about one’s health and beliefs one has an illness or may contract a disease. In the present study, gender differences in Noyes et al.’s (2003) interpersonal model of health anxiety (IMHA) were examined. Using a sample of 950 undergraduates (674 women; 276 men), multigroup confirmatory factor analyses suggested the measurement model for key dimensions of the IMHA (i.e., reassurance-seeking, alienation, worry, and absorption) were invariant across gender. This suggests key dimensions of this model are applicable to and generalizable across women and men. Coefficients alpha for and bivariate correlations between these IMHA dimensions were also roughly comparable across women and men. As hypothesized, mean levels of reassurance-seeking and worry were significantly higher in women compared to men. No gender differences were observed in mean levels of alienation or absorption. Reassurance-seeking and worry appear salient in the interpersonal behavior and emotional life of women with HA. The present study helps to clarify gender differences in the IMHA and other HA models involving similar variables.  相似文献   

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