Do You Speak English? Language Barriers in Child Protection Social Work with Minority Ethnic Families

This paper critically evaluates research and literature on childprotection social work practice with minority ethnic familieswho speak little or no English. Though the focus is on childprotection, many of the themes raised should be transferableacross to other areas and disciplines. Specifically, the paperfocuses on the limitations and difficulties of using professionalinterpreters in child protection work and covers themes likethe availability of interpreters, the role of interpreters,suitability of interpreters, the interpretation of particularwords and phrases, and manipulating the interpreting process.The paper then moves on to address the important but often neglectedarea of using children as interpreters, and ends by consideringthe broader issue of how language barriers can exacerbate discriminationagainst minority ethnic families.     

A class of distribution-free tests for two-way layout

In this article a class of distribution-free tests for the hypothesis of no row (treatment) effect in a two-way layout design, with several observations per cell, is proposed. The tests are based on U-statistics, constructed by considering minima of all possible subsamples of same size from each cell.The proposed class of tests is compared with the parametric test, Mack and Skillings test and Yate's test for two-way layout, in terms of Pitman ARE sense. It is seen that for the case of equal number of observations per cell, the proposed tests have better efficiency for exponential and uniform error distributions.     

Competitive industrial marketing strategies

This paper argues that for firms marketing industrial goods, the terms—system, product, service and commodity—are better employed to characterize the way the firm competes rather than any intrinsic attributes of what it markets. It is shown that the same hardware can be transacted as a system, service, product of commodity, and the nature of the most popular transaction changes over time. The nature of these shifts and how the firm needs to match its strategy to reflect them are discussed, and the special case of diversified firms in industries subject to rapid transaction shifts is taken up. It is suggested that for such firms a divisional structure based on the type of transaction—‘transaction divisions’—rather than the conventional Product Type divisions may make the firm better able not only to match its strategy to such shifts but also better able to anticipate them.     

A generalized improvement procedure for variance bounds for minimum variance unbiased estimator in inverse sampling

New bounds are obtained for the variance of the minimum variance unbiased estimator of p i n inverse sampling. A generalized procedure for further improving the bounds is also discussed.     

Effects of non-normality on the power function in a one-way random model

The effects of non-normality on type-I and type-II errors in a one-way random model are investigated for moderate departures from normality. It is found that the probabilities of both errors are more sensitive to the kurtosis of between group effects than that of within group effects.     

A test for gamma DFR alternative

In this article, a test for exponentiality against gamma DFR alternative based on a quadratic form of the logarithmic observations is proposed. The percentage points and the power of the test are computed through Monte-Carlo simulation. The test is seen to perform well as compared to a chi-square test proposed by Bain and Engelhardt(1975).     

Bayes Prediction for a Heteroscedastic Regression Superpopulation Model Using Balanced Loss Function

We consider Prais–Houthakker heteroscedastic normal regression model having variance of the dependent variable same as square of its expectation. Bayes predictors for the regression coefficient and the mean of a finite population are derived using Zellner's balanced loss function. Bayes predictive expected losses are obtained and compared with those of classical predictors and Bayes predictors under squared error loss function to examine their loss robustness.     

Measuring precautionary wealth using cross-sectional data: the case of farm households

This study models and investigates the presence of precautionary wealth among farm households, something few studies have attempted. Using pooled farm-level data, we find that self-employed farm households accumulate more wealth. Precautionary savings is about 8% of total household wealth. In addition, we find that age, education, occupation, and operation size are important factors influencing wealth accumulation by US farm households.