Two new estimators for the proportion of true null hypotheses in multiple test

In multiple hypothesis test, an important problem is estimating the proportion of true null hypotheses. Existing methods are mainly based on the p-values of the single tests. In this paper, we propose two new estimations for this proportion. One is a natural extension of the commonly used methods based on p-values and the other is based on a mixed distribution. Simulations show that the first method is comparable with existing methods and performs better under some cases. And the method based on a mixed distribution can get accurate estimators even if the variance of data is large or the difference between the null hypothesis and alternative hypothesis is very small.     

Combined asymmetric spatial weights matrix with application to housing prices

In this study, a combined asymmetric spatial weights matrix is proposed for capturing the unequal spatial dependence of housing prices, where the advantage of this matrix was demonstrated by a non-nested hypothesis test. To explore the heterogeneous spatial impacts of urban essential characteristics on housing prices over the eastern, central, and western regions of China, after the Lagrange multiplier and likelihood ratio tests, the spatial Durbin model using the proposed weights matrix was applied to each region. The estimation results showed that the direct impacts of college and new employment were significantly negative in the eastern region, but not significant in the central and western regions. By contrast, the direct impacts of hospitals and scenic spots were significantly positive in eastern China, but not significant in central and western China. In addition, the indirect impacts of the four variables were not significant in the three regions. These results suggest that in eastern China, the government may increase the requirements for using medical resources and close tourist attractions in a single city to cool down the skyrocketing housing prices in this area.     

Bootstrap methods for multivariate hypothesis testing

The nonparametric and parametric bootstrap methods for multivariate hypothesis testing are developed. They are used to approximate the null distribution of the test statistics proposed by Duchesne and Francq (2015 Duchesne, P., Francq, C. (2015). Multivariate hypothesis testing using generalized and {2}-inverses—with applications. Statistics 49:475–496.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]), resulting in bootstrap testing procedures. In the problem of testing for the mean vector of a multivariate distribution, the asymptotic validity of the bootstrap methods is proved. The finite sample performance of the new solutions is demonstrated by means of Monte Carlo simulation studies. They indicate that for small-sample size, the bootstrap tests provide a better finite sample properties than the asymptotic tests considered by Duchesne and Francq (2015 Duchesne, P., Francq, C. (2015). Multivariate hypothesis testing using generalized and {2}-inverses—with applications. Statistics 49:475–496.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]).     

Celebrating the 21st anniversary of empowerment evaluation with our critical friends

This special topic edition of E&PP presents the insights of luminaries in the field who have helped shape empowerment evaluation with their critiques, concerns, and congratulations. We celebrate their contributions to empowerment evaluation. This special topic edition of E&PP presents their comments about an evaluation approach that, according to president Stewart Donaldson, has “gone viral” across the globe (Donaldson, 2015).To set the stage for these critical friends’ comments, additional context for their discussion is provided. In addition, this special topic edition concludes with a brief comment on their thoughts.     

A formative evaluation of the recovery public works programme in Blantyre City,Malawi

Public works programmes (PWPs) are popular social protection instruments in the context of chronic poverty but very little has been published in the way of implementation and outcomes of these programmes. This paper presents a formative process and outcome evaluation of the recovery PWP in Blantyre City, Malawi. The evaluation used longitudinal household survey data of PWP beneficiaries, programme records and interview responses from programme staff and community leaders. Largely, the process evaluation findings showed an agreement between actual and planned activities. The outcome evaluation found indications that the PWP community assets offered some potential benefits to the communities, and that PWP wages allowed the beneficiaries to purchase some food. This however, did not translate into more meals per day, nor did the earnings prevent the decline in household assets as expected. Given a plausible PWP theory and high implementation fidelity, the PWP wage rate or number of days was either just enough to smooth participant income, or insufficient altogether, to enable achievement of more distal outcomes.     

Evaluating social exclusion interventions in university-community partnerships

Most university-community partnerships (UCPs) involve elements of community-level social exclusion interventions. As such, they face substantial challenges in management and evaluation. This paper highlights the central challenges associated with evaluation of UCP and other social exclusion interventions at the community level, and suggests methods to overcome them. The main body of the paper presents a case study based on a four-year action research involving evaluation of a social exclusion intervention initiated and implemented by a UCP in Israel. The case study highlights the challenges faced by the evaluation team, the solutions provided, and the contribution of the evaluation to improvement and accountability.     

Evaluation of the impact of intervention programmes on education organisations: Application to a Quality Management System

This paper analyses the importance of evaluating the various components of the programmes or actions carried out by education organisations. It highlights the need to assess the impact of the intervention on the organisation and consider how changes are consolidated over time in interaction with the context. We propose an impact evaluation model and as an example have chosen the implementation of Quality Management Systems in schools. The paper analyses the results obtained in 40 schools in three regions (Spanish Autonomous Communities) with varying levels of implementation. The results show overall impact on these education centres as the teachers and management teams of the centres perceive it. This impact is more evident in some of the dimensions considered in the study than in others. The results also confirm the differences between regional contexts.     

Breastfeeding interventions in Kansas: A qualitative process evaluation of program goals and objectives

Across the state of Kansas, eighteen public health departments received funding through the 2011 Breastfeeding Grant Initiative to start a breastfeeding intervention. The main objective of this study was to evaluate the progress toward program goals and objectives. This study was a process evaluation. Qualitative data were collected from recipient health departments at two time-points during the program year. Structured, open-ended questions were asked through telephone interviews. This study examined: (1) progress toward program goals and objectives, (2) problems encountered during implementation, and (3) evaluation measures employed to assess program impact. All health departments reported making significant progress toward program goals and objectives and reported successful collaboration with other healthcare providers. The use of breast pumps, educational classes, and professional training of staff were reported as providing the best outcome in the promotion of breastfeeding. The majority of respondents did not measure program impact. From a public health perspective, it is important that infants receive breast milk for the first six months of life. It appears that goals and objectives set a priori guided health departments with the administration of their breastfeeding program. Results may be used to enhance and sustain delivery of breastfeeding support programs in Kansas communities.     

Process evaluation of an environmental walking and healthy eating pilot in small rural worksites

Small Steps are Easier Together (SS) was a pilot environmental intervention in small rural worksites in Upstate New York in collaboration with Extension educators. Worksite leaders teamed with co-workers to select and implement environmental changes to increase walking steps over individual baseline and to choose healthy eating options over 10 weeks. Participants were 226 primarily white, women employees in 5 sites. A mixed methods process evaluation, conducted to identify determinants of intervention effectiveness and to explain differences in outcomes across worksites, included surveys, self-reports of walking and eating, interviews, focus groups, and an intervention log. The evaluation assessed reach, characteristics of recruited participants, dose delivered, dose received, and context and compared sites on walking and eating outcomes. Emergent elements of participant-reported dose received included: active leadership, visible environmental changes, critical mass of participants, public display of accomplishments, accountability to co-workers, and group decision making. Participants at sites with high reach and dose were significantly more likely than sites with low reach and dose to achieve intervention goals. Although this small pilot needs replication, these findings describe how these evaluation methods can be applied and analyzed in an environmental intervention and provide information on trends in the data.