Design optimization using ANOVA

This paper describes the design optimization of a robot sensor used for locating 3-D objects employing the Taguchi method in a computer simulation scenario. The location information from the sensor is to be utilized to control the movements of an industrial robot in a 'pick-and-place' or assembly operation. The Taguchi method, which is based on the Analysis-of-Variance (ANOVA) approach, is utilized to improve the performance of the sensor over a wider operating range. A review of the Taguchi method is presented along with step-by-step implementation details to identify and optimize the design parameters of the sensor. The method allows us to gauge the impact of various interactions present in the sensor system exclusively and permits us to single out those factors that have a dominant influence on the overall performance of the sensor. The investigation suggests that the Taguchi method is a more structured and efficient approach for achieving a robust design compared with the classical full factorial design approach.     

The effects of pre-IPO corporate activity on newly-public firms' growth

We investigate firms' pre-IPO corporate activity. We find that firms involved in extraordinary – i.e., beyond momentum – amounts of acquisitions, JVs, and alliances in the year leading up to their IPOs (1) are more likely to engage in post-IPO corporate activity; and (2) enter into their first post-IPO transaction twice as fast as other firms. Our results indicate that signaling via extraordinary corporate activity can have a significant effect on entrepreneurial firms’ growth. The implications are discussed.     

Need,well‐being and outcomes: the development of policy‐thinking for children's services 1989–2004

This paper describes how government policy thinking about the well‐being of children and young people developed between the Children Act 1989 and the Children Act 2004. These two Acts are milestone statements about how services to children in England and Wales should be delivered. It is an account informed by the author's own experience as a government adviser on children's social care over much of this period and supporting documentation. It traces the strands of government policy thinking about how to deliver services for children from children in need to the articulation of the five Every Child Matters outcomes. It argues that attempts to achieve coordinated service planning for children and young people played a significant role in the formulation of shared objectives and the articulation of child outcomes. However, it argues that looking at real outcomes exposes how children in the UK do relatively badly compared with other rich nations. It questions whether we can realistically expect our services to deliver significantly improved outcomes given the impact of enduring inequality in our society. This paper is dedicated to the memory of David Lambert CBE, former Assistant Chief Inspector of the Social Services Inspectorate in London, who died suddenly on 7 October 2010. He lent me articles to assist me in writing this paper.     

Parental Alienation: A Measurement Tool

The Rowlands Parental Alienation Scale (RPAS) was administered to 592 parents along with measures of convergent and discriminant validity. The scale was designed to capture the eight domains of parental alienating behavior posited in the literature. Factor analysis extracted only six factors, one of which was not included in the original eight: (a) campaign of denigration towards the alienated parent, (b) the independent thinker phenomenon, (c) reflexive support, (d) presence of borrowed scenarios, (e) spread of animosity to extended family, and (f) lack of positive affect towards the alienated parent. Parents who reported either that a court evaluation or court findings had confirmed the presence of parental alienation scored significantly higher on all six RPAS factors as well as on the overall RPAS score.     

Micro‐Level Determinants of Remittances from Recent Migrants to Canada

Despite considerable interest in remittances to developing countries, the limited availability of large sample data has constrained aspects of our understanding of remitter behaviour. This paper utilizes data from Statistics Canada’s Longitudinal Survey of Immigrants to Canada (LSIC) to investigate how the demographic characteristics of recent immigrants influence their remittance levels shortly after their arrival in Canada. We identify several hypotheses and use a Tobit model to estimate the impact of individual characteristics on remittance choices. As expected, remittances rise with incomes, age and falls with the size of the migrating family, housing costs and education. We also estimate how remittances are affected by other characteristics, such as gender, marital status, religion, region of origin, region of settlement and attitudes towards home and host communities.     

Ethnic appeal: A self-defense tool for Kenyan politicians

So far, analyses of apologetic rhetoric strategies as used by individuals or organizations to respond to accusations of wrongdoing have been concentrated in the West. An analysis of political apologia in an African setting – in this case Kenya – reveals that while Kenyan politicians have used denial, victimization, mortification, and counterattacking among other self-defense strategies, one particular strategy emerges as the most commonly used by Kenyan politicians – ethnic appeal.     

Models for the analysis of C-reactive protein in statin trials

Elevation in C-reactive protein (CRP) is an independent risk factor for cardiovascular disease progression and levels are reduced by treatment with statins. However, on-treatment CRP, given baseline CRP and treatment, is not normally distributed and outliers exist even when transformations are applied. Although classical non-parametric tests address some of these issues, they do not enable straightforward inclusion of covariate information. The aims of this study were to produce a model that improved efficiency and accuracy of analysis of CRP data. Estimation of treatment effects and identification of outliers were addressed using controlled trials of rosuvastatin. The robust statistical technique of MM-estimation was used to fit models to data in the presence of outliers and was compared with least-squares estimation. To develop the model, appropriate transformations of the response and baseline variables were selected. The model was used to investigate how on-treatment CRP related to baseline CRP and estimated treatment effects with rosuvastatin. On comparing least-squares and MM-estimation, MM-estimation was superior to least-squares estimation in that parameter estimates were more efficient and outliers were clearly identified. Relative reductions in CRP were higher at higher baseline CRP levels. There was also evidence of a dose-response relationship between CRP reductions from baseline and rosuvastatin. Several large outliers were identified, although there did not appear to be any relationships between the incidence of outliers and treatments. In conclusion, using robust estimation to model CRP data is superior to least-squares estimation and non-parametric tests in terms of efficiency, outlier identification and the ability to include covariate information.     

Understanding perceptions of substance use education in social work: an analysis of survey responses from MSW program leaders

ABSTRACT

This article details the findings of a series of analyses regarding how the institutional leaders of Master of Social Work Programs (MSW) in the United States form their perceptions on the role and implementation of substance use concepts in social work education. Five statistical tests were performed on data collected from a 2017 substance use education (SUE) survey of MSW program leaders, and the analyses were used to explore how program leaders form their perceptions on: the importance of SUE to social work, the need for regulatory measures for SUE in social work, the SUE needs of individual MSW programs, the implementation of substance use course content, and graduating students’ substance use intervention capacities. Significant findings from the analyses showed that: the amount of foundational course emphasis on clinical SUE within individual programs is a significant predictor of program leader perceptions on students’ clinical substance use intervention capacities; different categories of substance use intervention preparedness have interconnected effects among domains of preparedness; and perceptions on the importance of SUE to social work have a significant impact on program leaders’ opinions regarding regulatory measures for SUE in social work.