Individualism vs Collectivism in Different Cultures: A cross-cultural study

In this study, individualism vs collectivism, in line with the work of Triandis in 1985, was assessed in two groups of male and female students, in Egypt and Germany. The results confirm the effect that cultural background has on individualist vs collectivist orientations in both of these cultures for male and female students. Men and women scored higher on individualism in Germany than in Egypt, whereas collectivism scores were higher in Egypt than in Germany. These findings are discussed in terms of general recommendations for intercultural interventions that discourage viewing people solely in terms of group membership, and instead as distinct individuals.     

METHODS FOR QUANTIFYING SUBJECTIVE PROBABILITIES AND MULTI-ATTRIBUTE UTILITIES*†

In many situations where normative decision-aiding techniques could be usefully applied, historical data are inadequate for estimating the required outcome probabilities, and economic methodologies are inadequate for estimating the aggregate utility derived from the several outcome attributes. In such cases it is often useful to obtain the required estimates in the form of expert judgments, i.e. to obtain subjective probabilities and multi-attribute utilities. Similarly, in many situations where behavioral decision processes are to be studied, it is necessary to scale the expectations and perceived values of the decision makers. This article describes the methods for eliciting subjective probabilities and multi-attribute utilities whose usefulness has been empirically studied and reported in the research literature. It also contains summary guidelines concerning the elicitation and use of such judgments.     

Robust methods of estimation of regression coefficients 1

Recently, cumulative residual entropy (CRE) has been found to be a new measure of information that parallels Shannon's entropy (see Rao et al. [Cumulative residual entropy: A new measure of information, IEEE Trans. Inform. Theory. 50(6) (2004), pp. 1220–1228] and Asadi and Zohrevand [On the dynamic cumulative residual entropy, J. Stat. Plann. Inference 137 (2007), pp. 1931–1941]). Motivated by this finding, in this paper, we introduce a generalized measure of it, namely cumulative residual Renyi's entropy, and study its properties. We also examine it in relation to some applied problems such as weighted and equilibrium models. Finally, we extend this measure into the bivariate set-up and prove certain characterizing relationships to identify different bivariate lifetime models.     

Interval censored and truncated data: Rate of convergence of NPMLE of the density

We consider survival data that are both interval censored and truncated. Under appropriate assumptions on the involved distributions, the censoring, truncation and survival, we prove the consistency of the NPMLE of the density of the survival, and give the rate of convergence. Finally, we give an example where the joint law of the censoring and truncation can be explicitly computed.     

Multiple hypothesis tests based On conditional differences in means

Many hypothesis tests are univariate tests and cannot cope with multiple hypothesis without an auxiliary procedure as e. g. the Bonferroni-Holm-procedure. At the same time, there is an urgent need for testing multiple hypothesis due to the very simple existing methods as the Bonferroni-correction or the Bonferroni-Holm-procedure, which suffers from a very small local significance level to detect statistical inferences or the drawback that logical and statistical dependencies among the test statistics are not used, whereby its detection is NP-hard. In honour of this occasion, we present a multiple hypothesis test for i.i.d. random variables based on conditional differences in means, which is capable to cope with multiple hypothesis and does not suffer on such drawbacks as the Bonferroni-correction or the Bonferroni-Holm-procedure. Thereby, the computation time can be neglected.     

The Politics of Women's Economic Independence

We identify the political conditions that shape the economicposition of married/cohabiting women and of the economicallymost vulnerable group of women—single mothers. Specifically,we examine the determinants of reductions in single mothers'poverty rate due to taxes and transfers, and women's wages relativeto spouses'/ partners' wages. The Luxembourg Income Study archiveyields an unbalanced panel with 71 observations on 15 countries.The principal determinants of poverty reduction due to taxesand transfers are left government, constitutional veto points,and welfare generosity. The relative wage of women in couplesis a function mainly of female labor force participation, parttime work among women, and women's mobilization. In explainingthe causal pathways to these outcomes, we highlight the interrelationshipsof welfare state, care, and labor market policies.     

Parenting perceptions among college students: A qualitative examination

This study assessed the knowledge and attitudes of young adults without children in regard to discipline and parenting practices. A qualitative design was utilized (n?=?26) with semistructured focus groups. Results indicated participants believed discipline is important, with spanking and loss of privileges being the most effective strategy for behavior change. The majority of participants reported plans to discipline future children the way in which they were disciplined, suggesting a high percentage intend to utilize spanking. Findings suggest that personal experiences shape parenting beliefs, attitudes, and knowledge. Results inform efforts at educating future parents on appropriate parenting practices and indicate the need for protocols for young adults to educate about practices that may diverge from their personal experiences.     

Innovation Management as a Post-Modern Phenomenon: The Outsourcing of Pharmaceutical R&D

The institutionalization of R&D by large, modern organizations is regarded as one of the most significant social and economic factors of the twentieth century. In recent years post-modern organizations have begun to replace bureaucratic control with market control. This approach is particularly attractive in the case of R&D employees who have been relatively successful in resisting direct managerial control. Government statistics are used to demonstrate that external R&D increased from 5% to 16% of internal R&D expenditure between 1989 and 1995. This trend is examined in the context of consolidation within the UK pharmaceutical industry, which has considerable implications for the sustainability of high-technology industry in the UK.     

Estimation of generalized linear latent variable models

Summary.  Generalized linear latent variable models (GLLVMs), as defined by Bartholomew and Knott, enable modelling of relationships between manifest and latent variables. They extend structural equation modelling techniques, which are powerful tools in the social sciences. However, because of the complexity of the log-likelihood function of a GLLVM, an approximation such as numerical integration must be used for inference. This can limit drastically the number of variables in the model and can lead to biased estimators. We propose a new estimator for the parameters of a GLLVM, based on a Laplace approximation to the likelihood function and which can be computed even for models with a large number of variables. The new estimator can be viewed as an M -estimator, leading to readily available asymptotic properties and correct inference. A simulation study shows its excellent finite sample properties, in particular when compared with a well-established approach such as LISREL. A real data example on the measurement of wealth for the computation of multidimensional inequality is analysed to highlight the importance of the methodology.