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Rolffs S. Pinkerton Ph.D. W. J. Kenneth Rockwell M.D. 《Journal of American college health : J of ACH》2013,61(4):159-162
Abstract One or two session psychotherapy has a long history, and well-known practitioners have made use of it. Favorable results have been reasonably well documented. Often it has been done out of necessity, less frequently because all were satisfied that it sufficed. Problems that lend themselves to one or two sessions are: psychological work which has already been done but for which affirmation is sought, requests for diagnostic evaluation, and less often but more challenging, intrapsychic conflict requiring uncovering work. Patient characteristics and therapist attitudes are discussed. For one or two sessions of treatment to occur the therapist must be alert to the possibility, must assess quickly when a case is in hand, set the process in motion, and determine a satisfactory stopping point. It is suggested that the college population lends itself especially well to one or two sessions of psychotherapy, not only from the standpoint of the limited resources of many student health services but also for the ego strengthening potential it provides. 相似文献
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Kenneth Aarskaug Wiik Renske Keizer Trude Lappegård 《Journal of marriage and the family》2012,74(3):389-398
In this study, the authors used data from the first wave of the Generations and Gender Survey to investigate relationship quality among currently married and cohabiting individuals ages 18 to 55 (N = 41,760) in 8 European countries (Bulgaria, France, Germany, Hungary, Norway, Romania, Russia, and The Netherlands). They expected to find fewer differences between cohabitation and marriage in countries where cohabitation is widespread. Controlling for a range of selection characteristics of respondents and their partners (e.g., common children, union duration, and education), the analyses showed that in all countries cohabiters more often had breakup plans and were less satisfied with their relationships than individuals who married. This cohabitation gap in relationship quality was largest in Russia, Romania, and Germany, which indeed were among the countries in the current sample where cohabitation was least prevalent. 相似文献
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Two long-standing research problems of interest to sociologists are sources of variations in social inequalities and differential contributions of the temporal dimensions of age, time period, and cohort to variations in social phenomena. Recently, scholars have introduced a model called Variance Function Regression for the study of the former problem, and a model called Hierarchical Age-Period-Cohort regression has been developed for the study of the latter. This article presents an integration of these two models as a means to study the evolution of social inequalities along distinct temporal dimensions. We apply the integrated model to survey data on subjective health status. We find substantial age, period, and cohort effects, as well as gender differences, not only for the conditional mean of self-rated health (i.e., between-group disparities), but also for the variance in this mean (i.e., within-group disparities)-and it is detection of age, period, and cohort variations in the latter disparities that application of the integrated model permits. Net of effects of age and individual-level covariates, in recent decades, cohort differences in conditional means of self-rated health have been less important than period differences that cut across all cohorts. By contrast, cohort differences of variances in these conditional means have dominated period differences. In particular, post-baby boom birth cohorts show significant and increasing levels of within-group disparities. These findings illustrate how the integrated model provides a powerful framework through which to identify and study the evolution of variations in social inequalities across age, period, and cohort temporal dimensions. Accordingly, this model should be broadly applicable to the study of social inequality in many different substantive contexts. 相似文献
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Time series models are presented, for which the seasonal-component estimates delivered by linear least squares signal extraction closely approximate those of the standard option of the widely-used Census X-11 program. Earlier work is extended by consideration of a broader class of models and by examination of asymmetric filters, in addition to the symmetric filter implicit in the adjustment of historical data. Various criteria that guide the specification of unobserved- components models are discussed, and a new preferred model is presented. Some nonstandard options in X-11 are considered in the Appendix. 相似文献