Personal vulnerability, life events, and depressive symptoms: a test of a specific interactional model

We tested Beck's (1983) hypothesis that depressive symptoms occur when an individual experiences a negative life event that specifically matches the individual's personal motivational vulnerability. Ninety-eight undergraduates completed measures of depression level, recent life events, and sociotropic and autonomous achievement motivations. Consistent with the theory, sociotropy was associated with depression level and also served as a moderator of the relations between depression and frequency of recent negative social events. However, sociotropy also demonstrated nonpredicted interactive effects with negative events categorized a priori as autonomy related. Autonomy was unrelated to depression and showed no evidence of being a vulnerability to any type of life event. The findings generally support the value of examining the role in depression of interactions between personality characteristics and life events, although they do not support the specific matching predictions.     

Do People Know How Their Personality Has Changed? Correlates of Perceived and Actual Personality Change in Young Adulthood

Abstract How much do we think our personality changes over time? How well do our perceptions of change correspond with actual personality change? Two hundred and ninety students completed measures of the Big Five personality traits when they first entered college. Four years later, they completed the same measures and rated the degree to which they believed they had changed on each dimension. Participants tended to view themselves as having changed substantially, and perceptions of change showed some correspondence with actual personality change. Perceived and actual change showed theoretically meaningful correlations with a host of variables related to different aspects of college achievement and adjustment.     

Outliers and Influential Observations in Exponential Random Graph Models

We discuss measuring and detecting influential observations and outliers in the context of exponential family random graph (ERG) models for social networks. We focus on the level of the nodes of the network and consider those nodes whose removal would result in changes to the model as extreme or “central” with respect to the structural features that “matter”. We construe removal in terms of two case-deletion strategies: the tie-variables of an actor are assumed to be unobserved, or the node is removed resulting in the induced subgraph. We define the difference in inferred model resulting from case deletion from the perspective of information theory and difference in estimates, in both the natural and mean-value parameterisation, representing varying degrees of approximation. We arrive at several measures of influence and propose the use of two that do not require refitting of the model and lend themselves to routine application in the ERGM fitting procedure. MCMC p values are obtained for testing how extreme each node is with respect to the network structure. The influence measures are applied to two well-known data sets to illustrate the information they provide. From a network perspective, the proposed statistics offer an indication of which actors are most distinctive in the network structure, in terms of not abiding by the structural norms present across other actors.     

Depression and Suicidal Ideation After Predictive Testing for Huntington's Disease: A Two-Year Follow-up Study

The present study reports a two-year follow-up of psychological effects of predictive testing for Huntington's disease. Questionnaires assessing depression, general health, well-being, self injurious behavior, life satisfaction, and lifestyle were completed by 35 carriers and 58 non-carriers before the predictive test, and 2, 6, 12, and 24 months afterwards. Both carriers and non-carriers showed high suicidal ideation before the predictive testing. Depression scores and frequency of suicidal thoughts increased for carriers, compared to non-carriers, over time. There were no differences regarding life satisfaction or life style between carriers and non-carriers. Predictive testing was beneficial in reducing overall ill-health symptoms and increasing well-being for those initially expressing concern about Huntington's disease. The importance of assessing suicidal ideation and of continuing to provide adequate support is emphasized.     

Sociotropy and autonomy: relationship to antidepressant drug treatment response and endogenous-nonendogenous dichotomy.

This study evaluated the relationship of sociotropic and autonomous personality traits with response to pharmacotherapy for 217 depressed outpatients using the Sociotropy-Autonomy Scale. Sociotropy was related to nonendogenous depression, whereas autonomy was related to endogenous depression. Subjects who had high autonomous-low sociotropic traits showed greater response to antidepressants (and greater drug-placebo differences) than those who had high sociotropic-low autonomous traits (who showed no drug-placebo differences). Hierarchical multiple regression analysis showed that the sociotropy-autonomy, but not the endogenous-nonendogenous, distinction was a predictor of drug treatment response. The combination of endogeneity and autonomy predicted response to placebo. If replicated, these findings may enable better matching of patient traits to various treatment modalities for depression.