Current work on the social indicators system for the Federal Republic of Germany

The paper in hand deals with the construction of the SPES Indicators Tableau and its extensions and modifications which are carried out by current work. Advantages of time series regression analysis for social reporting as well as classifying social change are discussed. The paper ends with a short prospect on the publication in preparation which shall continue the social reporting of the SPES Indicators Tableau.     

Accounting for the Value of Performance Measurement from the Perspective of Midwestern Mayors

This article studies the decades-long question, "Does performancemeasurement matter?" by examining how and why Midwest mayorsperceive value in performance measurement. The results showthat the tool is perceived positively, but its impact on decisionmaking depends on whether performance measurement is integratedinto strategic planning, goal setting, and internal communicationbetween city council members and departmental staff and on whethermajor stakeholders are involved in developing performance measures.The article discusses the implications for future results-orientedreforms and concludes that simply reporting performance informationin budgetary or public documents is not enough. Rather, a morecomprehensive look at the implementation issues of performancemeasurement and performance budgeting is necessary.     

Weighted Approximations to Continuous Time Martingales with Applications

A weighted approximation to a sequence of continuous time martingales by a time transformed Wiener process is established. The basic tool of proof is the Skorohod imbedding for martingale difference sequences. As an application of the main result a useful weighted approximation to the randomly weighted uniform empirical process is derived. A number of other applications are also discussed.     

Implementing integrated pest management in professional lawn care: a case study

Human choices regarding land cover management practices may influence ecosystem services provided by urban green spaces. We conducted a 2-year study to compare biological (weed, insect, and disease), aesthetic (lawn quality), and economic (lawn care program cost) attributes of an integrated pest management (IPM) program, in which pesticides are applied on the basis of treatment thresholds, with a standard program, in which pesticides are applied on a calendar basis without pest monitoring. Both programs were managed by a professional lawn care operator. Although weed incidence was low, the IPM program had significantly more lawns with weed presence than the standard program during 2005 and 2006. However, only 21% of the IPM lawns required herbicide applications in 2005, and none exceeded the treatment threshold (5% weed cover) in 2006 as compared to 100% of the standard program lawns being treated for weeds in both years. The IPM program also had significantly more lawns with insect damage than the standard program during June 2005 and August 2005, but not September 2005 and throughout 2006. Only 28% of the IPM lawns required insecticide applications in 2005 and none exceeded the threshold (5% insect damage) in 2006 whereas all of the lawns in the standard program received insecticide treatments in both years. Rhizoctonia blight was present on some of the lawns, but was not a common problem. Although lawn quality was high for both programs (>8, on a scale of 1–9), it was significantly higher for standard than for IPM program lawns during 2005, and June 2006 and September 2006, but not August 2006. The annual lawn management costs were lower for the IPM (281.50) than the standard program (281.50) than the standard program (458.06). Thirty one percent of the IPM program customers who continued with the study in 2006 did so because they were satisfied with the IPM program. Among those who did not continue with the program, 33% cited weed or insect problems, while 33% expected better results. The implications of these findings for implementation of IPM in professional lawn care are further discussed.     

A study on the effectiveness of sterilizations in reducing the birth rate

This study analyzed 1,081 women in Kerala State (India) who were either sterilized or were the wives of sterilized men, and by examining the fertility among a comparable group of 1,000 other women, estimated the number of prevented future births per 1,000 women in the sterilized group. The results of this estimation were then applied to project what the entire savings in births might be over a 3D-year period in the entire Kerala population if each year there were one, three, or five sterilizations performed per 1,000 of total population. The results failed to confirm the hope that the crude birth rate would be decreased by 12 per 1,000 in a decade merely by sterilization of five per 1,000 of the population per annum. The study also discusses various measures of reduction in the crude birth rate. By a reasonable measure, the reduction in the crude birth rate for Kerala from such a sterilization program is estimated as seven points after a decade or nine points after three decades, reflecting decreases of 21 and 36 per cent, respectively, in the number of births.     

Power and sample size when multiple endpoints are considered

A common approach to analysing clinical trials with multiple outcomes is to control the probability for the trial as a whole of making at least one incorrect positive finding under any configuration of true and false null hypotheses. Popular approaches are to use Bonferroni corrections or structured approaches such as, for example, closed-test procedures. As is well known, such strategies, which control the family-wise error rate, typically reduce the type I error for some or all the tests of the various null hypotheses to below the nominal level. In consequence, there is generally a loss of power for individual tests. What is less well appreciated, perhaps, is that depending on approach and circumstances, the test-wise loss of power does not necessarily lead to a family wise loss of power. In fact, it may be possible to increase the overall power of a trial by carrying out tests on multiple outcomes without increasing the probability of making at least one type I error when all null hypotheses are true. We examine two types of problems to illustrate this. Unstructured testing problems arise typically (but not exclusively) when many outcomes are being measured. We consider the case of more than two hypotheses when a Bonferroni approach is being applied while for illustration we assume compound symmetry to hold for the correlation of all variables. Using the device of a latent variable it is easy to show that power is not reduced as the number of variables tested increases, provided that the common correlation coefficient is not too high (say less than 0.75). Afterwards, we will consider structured testing problems. Here, multiplicity problems arising from the comparison of more than two treatments, as opposed to more than one measurement, are typical. We conduct a numerical study and conclude again that power is not reduced as the number of tested variables increases.     

Intergenerational Conflict or Solidarity in Hong Kong? A Survey of Public Attitudes Toward Social Spending

Social Indicators Research - This study aims to investigate age-related differences in social spending preference in an Asian context, drawing on a random survey of more than 1000 adults in Hong...     

Correction to: Intergenerational Conflict or Solidarity in Hong Kong? A Survey of Public Attitudes Toward Social Spending

Social Indicators Research -