The Beck Depression Inventory-II (BDI-II) is a frequently used scale for measuring depressive severity. BDI-II data (404 clinical; 695 nonclinical adults) were analyzed by means of confirmatory factor analysis to test whether the factor structure model with a somatic-affective and cognitive component of depression, formulated by Beck and colleagues, has a good fit. We also evaluated 10 alternative models. The fit of Beck's model was not good for all criteria. Three of the alternative models had a better fit in both samples, but none of these met all criteria for good fit. Of the alternatives with a better fit, we selected the only model with unidimensional subscales, which assesses a somatic, affective, and cognitive dimension. For this model, which we recommend, as well as for Beck' original model, a good fitting structure containing 15 and 16 items was developed with an item-deletion algorithm.

Doctoral completion rates are an indicator of successful doctoral programmes and of a region's potential of highly skilled workforce. The Human Resources in Research -Flanders (HRRF) database contains data of all academic staff appointments, doctoral student registrations and doctoral degrees of all Flemish universities from 1990 on. Previous research has identified the following factors as affecting successfully completing the Ph.D.: cohort, scientific discipline, type of scholarship or appointment, gender, age and nationality. We present a competing risk analysis of factors determining Ph.D. completion and drop-out. This event history technique allows for determining the relative impact of each of these characteristics on the level of success/failure & time to degree. It predicts at what time periods the 'time to degree' and 'time till drop out' is most likely to occur, and why some individuals experience the event earlier than others. Our results show that scientific discipline and funding situation are the most important factors predicting success in obtaining the doctorate degree.

Abstract. The Depressive Experiences Questionnaire (DEQ; Blatt, D'Aflitti, & Quinlan, 1976 ) is a self-report questionnaire designed to differentiate between dependency and self-criticism, two personality traits associated with increased risk for psychopathology in general and depression in particular. Over the years, different shortened versions of the DEQ have been constructed, attempting to offer an alternative for the complex scoring procedure of the original DEQ. In this article, the authors studied the factorial validity of the original DEQ and of six shortened versions in a student sample (N = 636) and in a clinical sample (N = 404) by means of confirmatory factor analysis. Furthermore, the construct validity of the different versions of the DEQ was studied by computing correlations with different types of depressive symptoms and interpersonal problems. Dependency was hypothesized to be associated with somatic depressive symptoms and with nonassertive, overly accommodating, and self-sacrificing interpersonal behavior; self-criticism would be associated with cognitive depressive symptoms and with vindictive, cold, and socially inhibited interpersonal behavior. In the present study, the reconstructed DEQ ( Bagby, Parker, Joffe, & Buis, 1994 ) demonstrated the best psychometric properties. This factor model showed good fit to student and clinical (raw as well as ipsatized) data. Furthermore, intercorrelations between scores on dependency and self-criticism were adequately low (around .45) and the associations with different types of depressive symptoms and interpersonal characteristics were in line with theoretical predictions. Importantly, ipsatization of the DEQ scores was necessary to observe the hypothesized associations with depressive symptoms. Overall, the authors concluded that the reconstructed DEQ is a simple and valid scoring procedure with some important advantages compared to the more complex scoring procedures of the DEQ.

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The present study reports on the construction and validation of a new assessment instrument for self-conscious emotions in the work context, namely the Self-Conscious Emotions at Work Scale (SCEWS). In eight typical self-conscious work scenarios respondents have to indicate their emotional reaction in terms of 20 appraisals, subjective experiences, and action tendencies that are relevant and representative for the domain of self-conscious emotions. In total 512 students and 467 working adults completed the SCEWS and reported the frequency of positive emotions, anger, anxiety and sadness. In both samples a three-factorial structure emerged with a guilt, a shame/humiliation, and an anger in self-conscious situations factor. These three self-conscious emotion factors correlated differentially and in a predicted way with the frequency of emotions. Guilt-proneness was predicted to be psychologically constructive and correlated to the frequency of positive emotions. The proneness to shame/humiliation was expected to relate to internalising psychopathological tendencies, and positively correlated to a frequency of anxiety and sadness. Proneness to anger in self-conscious situations was expected to relate to externalising psychopathological tendencies and correlated with the frequency of anger in general. The present study demonstrates that self-conscious emotions can be validly measured in the work context. The new instrument allows for the systematic study of the role of self-conscious emotions in work and organisational behaviour.