Demographic change and response: Social context and the practice of birth control in six countries

This paper expands on Kingsley Davis’s demographic thesis of change and response. Specifically, we consider the social context that accounts for the primacy of particular birth control methods that bring about fertility change during specific time periods. We examine the relevance of state policy (including national family planning programs), the international population establishment, the medical profession, organized religion, and women’s groups using case studies from Japan, Russia, Puerto Rico, China, India, and Cameroon. Some of these countries are undergoing the second demographic transition, others the first. Despite variations in context, heavy reliance on sterilization and/or, abortion as a means of birth control is a major response in most of these countries. The key roles of the medical profession and state policy are discussed, along with the general lack of influence of religion and of women’s groups in these countries.     

Cross-national Comparison of the Quality of Life in Europe: Inventory of Surveys and Methods

The intention of this paper is to provide thescientific community with information onresearch carried out in the course of thecomparative research programme EuReporting – Towards a European System onSocial Reporting and Welfare Measurement. Thisresearch is being funded by the EuropeanCommission and is being conducted by researchteams throughout Europe. In this paper, we willreport on the findings of the research carriedout by the team in Vienna. The Vienneseresearch team is to assess the existing stockof comparative and cross-sectional surveys inthe field of social reporting and welfaremeasurement. Of concern here is not onlydocumentary work, but also the quality andcomparability of existing survey data. Thefocus of the Vienna project is upon suchcross-national and cross-sectional surveys asthe World Values Survey, the InternationalSocial Survey Programme, the Eurobarometer andthe New Democracies Barometer, as well asnational longitudinal studies.     

Comparative well being of Israeli youngsters in residential care with and without siblings

This paper presents the findings of a study comparing the well being and self-esteem of young adolescents (age 12-14) who were placed together with their siblings in residential facilities (intact care) in Israel and of youngsters who were placed without their siblings (separate care). The study examines the contribution of sibling relations, frequency of the meetings between the siblings, parental favoritism, age rank, time in care, self-esteem and perception of parents' economic status to the well being of the youngsters in the two groups. The findings show that the youngsters in intact care (N = 91) reported greater well being than those in separate care (N = 103), but have no other significant differences. Greater self-esteem and sibling closeness improved the well being of both groups of youngsters, but the other predictor variables functioned differently in the two groups. Greater frequency of meetings improved the well being only of the youngsters in intact care, while the other variables examined improved the well being only of those in separate care. Moreover, the examined variables accounted for a greater proportion of the variance in the youngsters' well being when the sibling was absent than when he or she was present. Practical implications are suggested.     

Nonlinear structural equation modeling: is partial least squares an alternative?

Nonlinear structural equation modeling provides many advantages over analyses based on manifest variables only. Several approaches for the analysis of latent interaction effects have been developed within the last 15 years, including the partial least squares product indicator approach (PLS-PI), the constrained product indicator approach using the LISREL software (LISREL-PI), and the distribution-analytic latent moderated structural equations approach (LMS) using the Mplus program. An assumed advantage of PLS-PI is that it is able to deal with very large numbers of indicators, while LISREL-PI and LMS have not been investigated under such conditions. In a Monte Carlo study, the performance of LISREL-PI and LMS was compared to PLS-PI results previously reported in Chin et al. (2003) and Goodhue et al. (2007) for identical conditions. The latent interaction model included six indicator variables for the measurement of each latent predictor variable and the latent criterion, and sample size was N=100. The results showed that PLS-PI’s linear and interaction parameter estimates were downward biased, while parameter estimates were unbiased for LISREL-PI and LMS. True standard errors were smallest for PLS-PI, while the power to detect the latent interaction effect was higher for LISREL-PI and LMS. Compared to the symmetric distributions of interaction parameter estimates for LISREL-PI and LMS, PLS-PI showed a distribution that was symmetric for positive values, but included outlying negative estimates. Possible explanations for these findings are discussed.     

Competitive and Cooperative Positioning in Supply Chain Logistics Relationships*

Cooperative logistics relationships require the sharing of information, which must be enabled by the integration of disparate information systems across partners. In this article, we theorize business‐to‐business logistics relationships should be managed using cooperative and competitive postures. Based on data from 91 dyadic relationships using interorganizational information technology (IT), we find that performance gains accrue when parties share strategic information and customize IT; mutual trust enables IT customization and strategic‐information flows and equitable relationship‐specific investments positively impact IT customization, mutual trust, and performance. Among other scholarly and practical implications discussed, partners should compete on resources for IT customization and cooperate to share strategic information. Managers tend to think of relationships with firms as polar opposites and view them as entirely cooperative or entirely competitive. Our results support active balancing and understanding of both competitive and cooperative stances. Such an approach enables conditions for participation symmetry that yields greater performance gains.     

Einkommen, Gesundheit und Mortalität in Deutschland, Grossbritannien und den USA

The paper examines the effect of income on mortality with respect to different health statuses and institutional characteristics of the health care system in the USA, Great Britain and West Germany. It is hypothesized that the nature of the theoretical contribution of income in explaining mortality risks changes on whether good or poor health is considered. Taking into account that the health care systems of the countries in question vary by their degree of household out-of-pocket expenditure, we expect an association between income and mortality that differs by country. The analysis is based on the German Socio-economic Panel (GSOEP), the British Household Panel Study (BHPS), and the Panel Study of Income Dynamics (PSID). The effect of income on mortality is found to be weakest when medical services are sought in the presence of poor health within the framework of a national health insurance that renders free primary health care (Great Britain, Germany). The effect is strongest when the provision of primary health care depends strongly on private expenditures (USA).     

The measurement of diversity: Ethnic and socioeconomic mixing in residential areas

Units of observation such as census tracts continue to be analyzed according to various modal characteristics while the variation or diversity existent in such units is often ignored. The qualitative or nominal-level indicators of diversity are examined which (1) are operative in the polytomous situation, and (2) measure within-unit diversity rather than divergences among units. Six qualitative indicators are explained and compared both theoretically and by example, with the Index of Qualitative Variation suggested as the most appropriate measure of diversity when variables representing a nominal scale are used. Quantitative or interval-level diversity also was examined with six measures analyzed, representing three operational situations. Because of the susceptibilities of five of the quantitative measures to skewness and variable sample sizes, the coefficient of variation was recommended for interval-level variables to evaluate within-unit diversity.