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The subsample hazard pro les disentangle these temporal patterns and provide a more sensitive magnifying glass for identifying when men and women are at risk of depression onset For both groups, the risk of experiencing an initial episode of depression is relatively low in childhood, increases during adolescence, and then peaks in the early twenties After this point, the risk of initial onset of depression among those individuals who have not yet had a depressive episode is much lower By the early forties, it declines to preadolescent levels for men, although it rises again for women Over and above these temporal patterns, the gure also suggests a sex differential: In general, women are at greater risk than men of experiencing a depressive episode When we compare hazard pro les for two groups of people, we implicitly treat gender as a predictor of the entire hazard pro le.

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The comparison of pro les illustrates how the risk of onset is related to gender We could divide the sample in other ways and treat these divisions as predictors of hazard as well Exploratory comparisons of sample survivor and hazard pro les provide simple persuasive descriptions of when events occur and how the timing of event occurrence varies across groups Descriptive statements can then be buttressed by simple statistical tests of between-group differences Lee (1992) provided a compendium of tests for comparing survivor and hazard pro les among groups, including tests that are the survival-analytic equivalent of the t test and one-way analysis of variance The most popular are the Wilcoxon and log-rank tests of homogeneity of survivor function across populations, the former test placing more weight on early survival times, the latter on later survival times, when the test statistic is computed.

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Within each of these categories of restructuring are submethods, which have been identified and used from various schools and modalities of psychotherapy. Change Mechanisms and Processes Change is conceptualized by balancing a disruption (creating disequilibria) of negative feedback systems, while restructuring systems creating positive feedback systems that are more adaptive. Especially in the case of personality disorders and complex clinical conditions, old patterns must be disrupted and new ones encouraged. Highly adaptive systems represent higher levels of differentiation and integration (communication) such as between affective response and cognition or self-other intimacy regulation functions.

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Graphical displays and multigroup comparisons are limited, however, because they do not help us address the complex questions arising in prevention research The examination of the effects of continuous predictors on hazard would yield a cumbersome collection of pro les, one per predictor value Simple bivariate methods are ill suited for exploring the effects of several predictors simultaneously, or for evaluating the in uence of interactions among predictors Borchardt and Gar nkel (1991) encountered these problems in their study of the relationship between adolescents lengths of stay in a psychiatric hospital and two categorical predictors, diagnostic category (affective, organic, conduct) and number of prescribed medications (none, one, two or more) While the authors elegantly displayed survival pro les for each of these two predictors separately, they did not examine the joint effect of both variables simultaneously or the effects of each after controlling statistically for the other.

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requests EXTREME values (to identify outliers) as well as DESCRIPTIVES. Box plots from two or more groups side by side are available through box and whisker plots under graphing or quality control menus. The remaining instructions are default values generated by the SPSS menu system. The output segment labeled DESCRIPTIVES contains most of the important descriptive statistics for a continuous variable, and that labeled EXTREME values shows information relevant for identifying outliers. The case numbers with the highest and lowest ve scores are listed along with the scores themselves. For Var_A the highest and

They did not investigate the possibility of a two-way interaction.

A GUIDE TO SOME RECENT LITERATURE AND FUTURE DEVELOPMENTS In this section we provide a guide to some recent publications in the SEM literature, organized by a few topics that are currently the focus of methodological research. While SEM has provided new ways to conceptualize and analyze multivariate data, especially non- or quasi-experimental data, the methodology still has technical pitfalls that need resolution. In the next several years we expect to see improvements in methods for dealing with small samples, for dealing with missing data, for handling outliers and unusual cases, for extending multilevel models to less standard situations, and for dealing with latent variable interactions and nonlinear models. We will say a few words about these selected problems, recognizing that our summary cannot cover many important recent developments in this growing eld. For example, we do not review important classes of methods such as growth curve modeling (e.g., Curran, 2000; Duncan et al., 1999; Khoo & Muth n, 2000; Mehta & West, 2000), bootstrap methodology (Bollen & Stine, 1993; Efron, 2000; Nevitt & Hancock, in press; Yung & Bentler, 1996), or specialized applications in dozens of elds (e.g., genetic modeling; Van den Oord, 2000). General reviews of the eld are provided by Bentler and Dudgeon (1996) and MacCallum and Austin (2000). Excellent collections of applications can be found in T. D. Little, Schnabel, and Baumert (1999) and Rose, Chassin, Presson, and Sherman (2000). An overview of recent technical developments

Peabody plot and named chiasmic structure by Hofstee and Arends (1994). A classical example of a chiasm is Thrifty Stingy Generous Extravagant

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