Explaining Mothers' Ambivalence Toward Their Adult Children

Interest in applying the concept of ambivalence to the study of intergenerational relations has increased in recent years. However, few empirical studies of this issue have been conducted. Using data from a study of 189 mothers aged 60 and over, the authors examine sources of ambivalence regarding the quality of their relationships with adult children. They hypothesized that adult children's failure to achieve and maintain normative adult statuses and financial independence and mother's developmental stage will predict ambivalent assessments of the relationship. Regression analyses supported these hypotheses and also revealed that the variables predicting ambivalence differed from those that predicted closeness and interpersonal stress.     

In memoriam Erika Brückner (09.09.1927–07.07.2002)

Ohne Zusammenfassung

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In memoriam Erika Brückner (09.09.1927–07.07.2002)

     

Protokoll der Auszählung der Wahlen zum Vorsitz,zum Vorstand und zum Konzil der Deutschen Gesellschaft für Soziologie 2006/2007

Ohne Zusammenfassung     

Protokoll der Auszählung der Wahlen zum Vorsitz,zum Vorstand und zum Konzil der Deutschen Gesellschaft für Soziologie 2005

Ohne Zusammenfassung     

Debt and Financial Expectations: An Individual- and Household-Level Analysis

In this article we show that optimistic financial expectations impact positively on both the quantity of debt and the growth in debt at the individual and household levels. Our theoretical model shows that this association is predicted under a variety of plausible scenarios. In the empirical analysis we explore the determinants of debt and of growth in debt using British data. We find convincing support for our theoretical priors and show that it is optimistic financial expectations per se that are important in influencing debt, rather than the accuracy of individuals' predictions regarding their future financial situation.     

The two-sample <Emphasis Type="Italic">t</Emphasis> test: pre-testing its assumptions does not pay off

Traditionally, when applying the two-sample t test, some pre-testing occurs. That is, the theory-based assumptions of normal distributions as well as of homogeneity of the variances are often tested in applied sciences in advance of the tried-for t test. But this paper shows that such pre-testing leads to unknown final type-I- and type-II-risks if the respective statistical tests are performed using the same set of observations. In order to get an impression of the extension of the resulting misinterpreted risks, some theoretical deductions are given and, in particular, a systematic simulation study is done. As a result, we propose that it is preferable to apply no pre-tests for the t test and no t test at all, but instead to use the Welch-test as a standard test: its power comes close to that of the t test when the variances are homogeneous, and for unequal variances and skewness values |γ ₁| < 3, it keeps the so called 20% robustness whereas the t test as well as Wilcoxon’s U test cannot be recommended for most cases.     

Local quantile regression

Quantile regression is a technique to estimate conditional quantile curves. It provides a comprehensive picture of a response contingent on explanatory variables. In a flexible modeling framework, a specific form of the conditional quantile curve is not a priori fixed. This motivates a local parametric rather than a global fixed model fitting approach. A nonparametric smoothing estimator of the conditional quantile curve requires to balance between local curvature and stochastic variability. In this paper, we suggest a local model selection technique that provides an adaptive estimator of the conditional quantile regression curve at each design point. Theoretical results claim that the proposed adaptive procedure performs as good as an oracle which would minimize the local estimation risk for the problem at hand. We illustrate the performance of the procedure by an extensive simulation study and consider a couple of applications: to tail dependence analysis for the Hong Kong stock market and to analysis of the distributions of the risk factors of temperature dynamics.     

Improving Prediction of Career Adjustment With Measures of Career Development

In the first part of the article, the major findings and the problems of criterion-related validity research in the field of career development assessment are analyzed. Regarding predictive validity, it is shown that it is more difficult to prove mediumterm and long-term effects of career maturity on career adjustment than short-term effects, and that this is connected with shortcomings in research and theory. In the second part of the article, empirical evidence is provided for the assumption that self-concept orientation in choice of present major and realization of preferences might function as mediating factors between career development in school and career adjustment.