Ensuring Parliamentary Gender Equality Through a New Zipper Method: An Application to Finland

Gender equality constitutes a crucial objective for a successful societal development. Although research has found that the differences are shrinking, parliamentary composition is not gender balanced in most areas of the world. Henceforth, recent literature has undertaken important efforts aimed at developing different initiatives to promote parity in democratic parliaments, especially through the use of quota systems. Prior initiatives, although leading to an improvement of gender parity, do not manage to ensure an optimal gender-egalitarian parliamentary composition. Thus, this paper presents a method to organize closed and blocked lists of candidates that guarantees the achievement of gender-balanced representation in parliamentary elections. Specifically, parity is sought globally, in each party and also in each electoral constituency. Furthermore, the method is applied to the elections held over the last two decades in Finland. Results reveal that parity in gender representation increases at global, party, and constituency levels throughout all the parliamentary elections in Finland, even approaching optimal numerical parity (i.e. 50 % for each gender) in most of the cases.     

Where Does it Begin? A Comparative Perspective on the Professional Preferences of First-year Social Work Students

Correspondence to Dr John Gal, Paul Baerwald School of Social Work, The Hebrew University, Mt Scopus, Jerusalem 91905, Israel. Summary The goal of this paper is to contribute to a better understandingof international social work by examining the professional preferencesof students at the beginning of the social work training processin the United States, Great Britain and Israel. The study, uponwhich the paper is based, examined the preferences of the studentswith regard client groups, social services, types of sectorsand of practices, and sought to identify the similarities andthe differences between these preferences in different countries.The findings indicate that the students from the United Statesand Israeli universities prefer to work with social groups andto be employed in services, that can be defined as "less stigmatic",while these trends were not identifiable in the case of theBritish students. They expressed a greater readiness to workwith more needy social groups and to find employment in thestate sector. By contrast, the students in all the universitiesstudied expressed a similar unwillingness to work the unemployed,the chronically ill and to find employment in old-aged homes.In addition, casework with individuals was the most preferredtype of social work practice. Clearly, the findings indicatethat the preferences of students in different countries reflectvariations in the nature of social work in each of the specificnational settings.     

Engaging young people in science education through socioscientific issues of biosecurity

ABSTRACT

The biosecurity system is extremely important to New Zealand because the economy is based largely on exporting products derived from primary industry practices. Recent developments in trade practices such as online trade have put the biosecurity system in New Zealand under further strain. In light of this, engaging young people to support biosecurity initiatives is crucial. A qualitative approach using the interpretive mode of inquiry was used to investigate the message young people got out of biosecurity educational material in the public. One hundred and seventy-one young people completed a questionnaire that consisted of Likert-scale type questions and open-ended questions that focused on getting young people’s understanding of biosecurity related educational material. The findings show that young people emotionally connected with the biosecurity educational material, but were unable to get the biosecurity message. Building prior knowledge about biosecurity through teaching and learning is recommended.     

Estimating the distribution function using k-tuple ranked set samples

The basic assumption underlying the concept of ranked set sampling is that actual measurement of units is expensive, whereas ranking is cheap. This may not be true in reality in certain cases where ranking may be moderately expensive. In such situations, based on total cost considerations, k-tuple ranked set sampling is known to be a viable alternative, where one selects k units (instead of one) from each ranked set. In this article, we consider estimation of the distribution function based on k-tuple ranked set samples when the cost of selecting and ranking units is not ignorable. We investigate estimation both in the balanced and unbalanced data case. Properties of the estimation procedure in the presence of ranking error are also investigated. Results of simulation studies as well as an application to a real data set are presented to illustrate some of the theoretical findings.     

Much ado about very little: The dubious connection between ethnic minority business policy and ethnic minority entrepreneurship

This article presents a historical reprise of 40 years of policy interest in ethnic minority businesses in the UK. It contrasts the pronouncements of policymakers with the reality of ethnic minority entrepreneurship. Such an exercise is surprisingly rare given the activism of policymakers in this arena and growing scholarly interest in this field. Our historical overview is informed by a novel research method that plots references to ethnic minority entrepreneurship in the British Houses of Parliament. Though the UK has been the site of some interesting policy experiments on ethnic minority entrepreneurship, their impact has been slight when set against the context of broader political-economic change.     

A spatial randomness test based on the box-counting dimension

AStA Advances in Statistical Analysis - Statistical modelling of a spatial point pattern often begins by testing the hypothesis of spatial randomness. Classical tests are based on quadrat counts...     

Nonparametric bayes estimation of the survival function from a record of failures and follow-ups

In some observational studies, we have random censoring model. However, the data available may be partially observable censored data consisting of the observed failure times and only those nonfailure times which are subject to follow-up. Suzuki (1985) discussed the problem of nonparametric estimation of the survival function from such partially observable censored data. In this article, we derive a nonparametric Bayes estimator of the survival function for such data of failures and follow-ups under a Dirichlet process prior and squared error loss. The limiting properties such as the mean square consistency, weak convergence and strong consistency of the Bayes estimator are studied. Finally, the procedures developed are illustrated by means of an example.     

A nonparametric bayesian approach to analysis of drug dependence data

In this paper, a nonparametric Bayesian approach to the analysis of binary response data is considered. Using a Dirichlet process prior, and squared error loss, the Bayes estimators of response probabilities are obtained. Finally, the results obtained are employed to analyze the ARC 090 Trial data.     

Weighted bivariate logarithmic series distributions

In this paper, we are interested in the weighted distributions of a bivariate three parameter logarithmic series distribution studied by Kocherlakota and Kocherlakota (1990). The weighted versions of the model are derived with weight W(x,y) = x^[r] y^[s]. Explicit expressions for the probability mass function and probability generating functions are derived in the case r = s = l. The marginal and conditional distributions are derived in the general case. The maximum likelihood estimation of the parameters, in both two parameter and three parameter cases, is studied. A procedure for computer generation of bivariate data from a discrete distribution is described. This enables us to present two examples, in order to illustrate the methods developed, for finding the maximum likelihood estimates.     

The Effects of Perceived Barriers,Role Models,and Acculturation on the Career Self‐Efficacy and Career Consideration of Hispanic Women

This study used path analysis to examine the relationship between perceived barriers, acculturation, and role model influence on the career self‐efficacy and career considerations of a sample of Hispanic women. Two path models were examined. The male‐dominated model accounted for 15% of the variance, and the female‐dominated model accounted for 26% of the variance. No relationship was found between the variables of interest and male‐dominated career self‐efficacy and consideration. However, perceived barriers were related to female‐dominated career consideration and Anglo acculturation significantly contributed to female‐dominated career self‐efficacy. Results are discussed with regard to career practice and research with Hispanic women.