The successful school: a genuine trend or a statistical artifice?

Schools are increasingly being expected to make improvements based on data about students' learning outcomes. Such an expectation implies that principals, teachers and key personnel within systems can read and act upon the data available. There is evidence, however, that many people have poor understanding of statistical information, and that many factors inside and outside the school have an effect on students' outcomes. This study considers one primary school's data from statewide testing programs. Trends across time are considered as a basis for making judgments about the school's performance in improving students' learning outcomes in literacy and numeracy.

A meta-learning approach to automatic kernel selection for support vector machines

Appropriate choice of a kernel is the most important ingredient of the kernel-based learning methods such as support vector machine (SVM). Automatic kernel selection is a key issue given the number of kernels available, and the current trial-and-error nature of selecting the best kernel for a given problem. This paper introduces a new method for automatic kernel selection, with empirical results based on classification. The empirical study has been conducted among five kernels with 112 different classification problems, using the popular kernel based statistical learning algorithm SVM. We evaluate the kernels’ performance in terms of accuracy measures. We then focus on answering the question: which kernel is best suited to which type of classification problem? Our meta-learning methodology involves measuring the problem characteristics using classical, distance and distribution-based statistical information. We then combine these measures with the empirical results to present a rule-based method to select the most appropriate kernel for a classification problem. The rules are generated by the decision tree algorithm C5.0 and are evaluated with 10 fold cross validation. All generated rules offer high accuracy ratings.

Implementing elements of Schon's reflective practitioner in an undergraduate public relations program

While the internship unit in a public relations degree is often viewed as the foremost area of experiential learning it can fail to deliver significant learning outcomes for student and teacher. This paper explores the use of other activity-based learning (ABL) methods as implemented in the Deakin University public relations undergraduate degree. The paper applies Donald Schon's concept of the reflective practitioner to learning undertaken in an internship unit and compares this application to two other units where ABL is used and the focus is on creating a client-professional relationship. For the purpose of this paper information was analysed using the 2006 on-campus cohort only. The cohort was further refined to include those students who successfully completed the degree of BA in public relations. Student internship evaluation forms and unit records were viewed to gain statistical information.

Social justice in education in 'new times'

This thesis considers social justice in education in ‘new times’. To facilitate the investigation a number of research questions were pursued. These questions were: • What is meant by the label ‘social justice’? • How is social justice to be understood in contemporary terms? • Are there tensions between traditional and contemporary views of social justice? • How effective are policy developments in delivering social justice via education? • What difference do such policies make at the local level? To answer these questions a critical case analysis of a country community and one of its primary schools was carried out. Data were gathered using a variety of methods. As a researcher who was also a teacher in the school I kept a personal professional journal during 1993 and 1994. During this period I was the teacher in the school with responsibility for curriculum development related to issues of social justice. In 1994 I conducted interviews with twenty students, parents and teachers at the school in relation to social justice issues. I also interviewed the CEO of the town’s Council. A number of relevant Federal and State Government and school policy documents were consulted and an archival search of the local newspaper from 1956 to 1994 was undertaken. Statistical information from the Australian Bureau of Statistics as well as from school records was used. A number of local history books were consulted as well as the minutes of relevant school committee meetings. Contemporary social theory, more specifically the work of Anthony Giddens, provided the major methodological tool. Giddens structuration theory was selected as it provided a way of interpreting society from both macro and micro perspectives, it provided a way of studying the interconnectedness of the individual and society. In addition to this, a metaphor was used as a way of developing an understanding of the data. The river was chosen as the metaphor as it has significance to the case study community and it also provides a way of understanding interconnectedness. At an interpretive level, both social theory and moral philosophy were drawn on, including the work of Geoffrey Sharp, Anthony Giddens and Alisdair MacIntyre. A review of selected literature indicated three main areas of concern in relation to this thesis. We live in a time of constant and ongoing change, understanding how this change impacts on the lives of individuals and society is important. Such an understanding relates directly to issues of ontology. In addition it was necessary to consider schools in these ‘new times’. The literature revealed that the changes occurring in the wider society were related to the changes currently being seen in schools. Specifically this related to the increasing emphasis on economics and on individualism, emphases also reflected in the findings of this thesis. Finally the literature related to social justice was discussed, the focus here was on distributive theories of justice and the way these are reflected in programs such as the DSP. The data, as expressed in the metaphor of the flowing river, revealed dominant and marginal currents in social justice in education in ‘new times’. The dominant social group are the intellectually trained and the dominant issues were related to technology, globalisation and economic and bureaucratic rationalism. In the marginal currents we find the under-employed and the unemployed and marginal issues relating to housing, the black economy, poverty and the survival of rural communities. The data also revealed a marginal tributary running into the river. This tributary shows that social cohesion is still a part of life in ‘new times’, albeit a marginalised part. The dominant and marginal currents in social justice in ‘new times’ reveal changes at a deep cultural level. Social justice in ‘new times’ is set within the limits provided by economic rationalism. Such a position is closely linked to the rise of liberal democracy as a political ideology. A rise which has been on a global scale. This valorizes the individual as compared with the group, and the family as compared to the social whole, within the context of expanded economic groupings and markets. Such an ideological position sees the role of the state as providing the ‘legitimising muscle’ to advance the cause of individuals and their families as compared to larger social groupings. These perceptions were applied in Australia, even under a Labor Government. In this sense social justice policies in ‘new times’ are ideological, they act as a political lever to legitimate economic restructuring. They are policies designed to carry disparate groups forward and together on a common wave of economic reform. They are used to ‘sell’ economic reform as being ‘good’ for all of society. Against the backdrop of economic rationalism and liberal democratic ideals there emerges a language geared to the production of an economically viable self, self image, self identity, self esteem and self confidence. As a result, the sense of identity as ‘social’ is lost from view. This thesis argues that what is needed is a new way of looking at social justice in education. A way that reaches beyond the solutions forwarded by the political Left and the Right. It is about the development of an understanding of the way in which an assimilation of the hyper individual and the social group can result in the emergence of the socially responsible individual. This is a cultural shift that sees the individual/society dualism presented in a new way. The categories enter into a new relationship where the balance shifts away from the individual towards society. A shift to a culture where the individual’s rights and responsibilities are respected within a social whole. Such a cultural shift would result in a curriculum which would build social identity, promoted socially responsible independent thought and make space for creativity and the aesthetic. A ‘curriculum for social responsibility’ would be a socially just curriculum.

A review of cashmere nutrition experiments with suggestions for improving their design and conduct

The scientific literature contains divergent views about the effects of nutrition on cashmere. The consequences of ignoring nutrition will be an increase in the number of goats suffering lower production, increased welfare risks and premature mortality. This review evaluated published reports to identify current knowledge and best practice in regard to the design and management of cashmere nutrition experiments. The ability of experiments to distinguish between treatments was evaluated based on their statistical evidence. Many experiments had serious deficiencies in their design, conduct and reporting. Six of 16 papers did not provide statistical information that would enable a reader to verify differences between treatments. For most experiments to detect nutrition affects at P < 0.05, they required a difference between treatments of 0.2–0.8 μm in cashmere mean fibre diameter and 15–42 g in clean cashmere production. Government Research Institutes research was characterised by more experienced authors conducting longer (P < 0.05) and larger (P < 0.05) experiments than those conducted by Universities. Much of the “debate” regarding the affects of nutrition on cashmere production arises from the misinterpretation of both experiments that did not detect statistically significant effects and of experiments that did detect statistically significant effects. Based on a comparison between experiments reporting responses to nutrition with those reporting no response, 13 design and management features were identified that are related to the ability of experiments to detect significant treatment affects. Methods must be adopted to reduce the variance in cashmere production within treatments, by using sufficient animals per treatment, and having replication to provide sufficient degrees of freedom to reduce error terms in analysis. The power of experimental designs should be evaluated before experiments commence. Cashmere production records from a previous full production year could be used as co-variants during statistical analyses but this requires that potential experimental goats are managed in one flock, without variations resulting from different grazing, reproduction or other management for a year prior to an experiment. It is preferable to use more productive and older goats, and goats that are used to handling, and to the conditions and feed to be used. Allocation of animals to treatments must take into account live weight. Nutrition treatments need to be sufficiently different to produce different growth curves. An appropriate control is needed such as live weight maintenance. Evidence of both nutrition intake and growth curves must be published with cashmere production data so the claims made can be verified by the actual responses. As cashmere production is an order of magnitude less than fibre production of Merino sheep or Angora goats and is more difficult to measure, the requirements for measurement, sampling and testing cashmere fleeces are summarised. The use of mid side cashmere patches to determine cashmere growth and quality is seriously biased and must be avoided, preferably by shearing goats prior to and at the end of experiments. In order to obtain higher fleece growth responses and improve the ability of experiments to detect treatment effects it is preferable to start cashmere growth experiments by midsummer and conduct experiments for at least 4 months. These requirements make it difficult for many university students to plan, undertake and complete long-term cashmere nutrition experiments without considerable management support. It is not possible for experiments to disprove the Null hypothesis regarding the effects of nutrition on cashmere production as they can only report a failure to detect treatment effects. Researchers and journals need to be more rigorous in providing statistical information including: degrees of freedom for error terms, treatment variances, standard error of differences or similar to enable readers to compare treatment effects. Publications that do not provide sufficient statistical information should be disregarded from future discussions. Claims that an experiment shows no responses to nutrition should be subject to rigorous examination using the issues identified in this review.

Projection-pursuit-based method for blind separation of nonnegative sources

This paper presents a projection pursuit (PP) based method for blind separation of nonnegative sources. First, the available observation matrix is mapped to construct a new mixing model, in which the inaccessible source matrix is normalized to be column-sum-to-1. Then, the PP method is proposed to solve this new model, where the mixing matrix is estimated column by column through tracing the projections to the mapped observations in specified directions, which leads to the recovery of the sources. The proposed method is much faster than Chan's method, which has similar assumptions to ours, due to the usage of optimal projection. It is also more advantageous in separating cross-correlated sources than the independence- and uncorrelation-based methods, as it does not employ any statistical information of the sources. Furthermore, the new method does not require the mixing matrix to be nonnegative. Simulation results demonstrate the superior performance of our method.

Migratory implications for coronary heart disease risk prevention in Asian Indians: Evidence from the leading health indicators.

OBJECTIVEctives of this descriptive comparative study were to (1) review data obtained from the World Health Organisation Statistical Information System (WHOSIS) database relating to the prevalence of risk factors for coronary heart disease (CHD) among Indians and Australians and (2) compare these data with published epidemiological studies of CHD riskfactors in adult migrant Asian Indians to provide a comprehensive and comparable assessment of risk factors relating to CHD and the mortality attributable to these risk factors. Design: ThDESIGNdy was undertaken using a database search and integrative review methodology. Data were obtained for comparison of CHD risk factors between Indians and Australians using the WHOSIS database. For the integrative review the MEDLINE, CINAHL, EMBASE, and Cochrane databases were searched using the keywords 'Migrants', 'Asian Indian', 'India', 'Migration', 'Immigration', 'Risk factors', and coronary heart disease. Two reviewers independently assessed the eligibility of the studies for inclusion in the review, the methodological quality and extracted details of eligible studies. Results from the integrative review on CHD risk factors in Asian Indians are presented in a narrative format, along with results from the WHOSIS database. Results: TRESULTSadjusted mortality for CHD was four times higher in migrant Asian Indians when compared to both the native population of the host country and migrants from other countries. Similarly when compared to migrants from other countries migrant Asian Indians had the highest prevalence of overweight individuals. Prevalence rates for hypercholesterolemia were up to 18.5 % among mgrant Asian Indians and migrant Asian Indian women had a higher prevalence of hypertriglyceridaemia compared to Caucasian females. Migrant Asian Indians also had a higher incidence of hypertension and upto 71 % of migrnt Asian Indian men did not meet current guidelines for participation in physical activity. Ethnic-specific prevalence of diabetes ranged from 6-7% among the normal weight to 19-33% among the obese migrant Asian Indians compared with non-Hispanic whites. ConclusionCONCLUSIONAsian Indians have an increased risk of CHD. Culturally sensitive strategies that recognise the effects of migration and extend beyond the health sector should be developed to target lifestyle changes in this high risk population.

Use of geographical information systems as a tool for predicting fish yield in tropical reservoirs : case study on Sri Lankan reservoirs

Use of geographical information systems (GIS) in inland fisheries has hitherto been essentially restricted to site evaluation for aquaculture development and assessment of limnological changes in time and space in individual water bodies. The present GIS study was conducted on the land-use pattern of the catchments of nine reservoirs in Sri Lanka, for which detailed fishery data, viz. yield, fishing intensity, landing size of major constituent species, together with selected limnological data such as conductivity and chlorophyll-a, were available. Potential statistical relationships (linear, curvilinear, exponential and second-order polynomial) of fish yield (FY, in kg ha−1 yr−1) to different land-use patterns, such as forest cover (FC, in km2) and shrub-land (SL, in km2), either singly, or in combination, and/or the ratio of each land type to reservoir area (RA in km2) and reservoir capacity (RC in km3), were explored. Highly significant relationships were evident between FY to the ratio of SL and/or FC+SL to RA and/or RC. Similarly, the above land-use types to RA and RC ratios were significantly related to limnological features of the reservoirs. The relationships of FY to various parameters obtained in this study were much better correlated than those relationships of FY to limnological and biological parameters used in yield prediction in tropical and temperate lacustrine waters previously.

Microarray classification using statistical learning and decision tree algorithms

This considers the challenging task of cancer prediction based on microarray data for the medical community. The research was conducted on mostly common cancers (breast, colon, long, prostate and leukemia) microarray data analysis, and suggests the use of modern machine learning techniques to predict cancer.

Statistical properties and taxonomies of human untranslated exons

Two taxonomies for the accurate classification of human and predicted exons were produced. Based on these taxonomies important statistical properties of untranslated exons useful for improving automated genefinding efforts were calculated. Finally an important correlation between the energy and the information content in the human genome was identified.

Changing philosophies and tools for statistical inferences in behavioral ecology

Recent developments in ecological statistics have reached behavioral ecology, and an increasing number of studies now apply analytical tools that incorporate alternatives to the conventional null hypothesis testing based on significance levels. However, these approaches continue to receive mixed support in our field. Because our statistical choices can influence research design and the interpretation of data, there is a compelling case for reaching consensus on statistical philosophy and practice. Here, we provide a brief overview of the recently proposed approaches and open an online forum for future discussion (https://bestat.ecoinformatics.org/). From the perspective of practicing behavioral ecologists relying on either correlative or experimental data, we review the most relevant features of information theoretic approaches, Bayesian inference, and effect size statistics. We also discuss concerns about data quality, missing data, and repeatability. We emphasize the necessity of moving away from a heavy reliance on statistical significance while focusing attention on biological relevance and effect sizes, with the recognition that uncertainty is an inherent feature of biological data. Furthermore, we point to the importance of integrating previous knowledge in the current analysis, for which novel approaches offer a variety of tools. We note, however, that the drawbacks and benefits of these approaches have yet to be carefully examined in association with behavioral data. Therefore, we encourage a philosophical change in the interpretation of statistical outcomes, whereas we still retain a pluralistic perspective for making objective statistical choices given the uncertainties around different approaches in behavioral ecology. We provide recommendations on how these concepts could be made apparent in the presentation of statistical outputs in scientific papers.

Geographical Information Systems (GIS) and their role in sustainable planning : a case study from a Local Government Area (LGA) in Australia

A case study is used to demonstrate the application of Geographical Information Systems (GIS) to inform sustainable development. The suitability of the landscape to support tourism accommodation in a Local Government Area (LGA) is modelled by integrating existing datasets, including conservation areas, residential zones, major roads and known locations of tourism operators into a logistic regression framework. By using a data-driven approach an indication of the relative importance of each explanatory variable can be accounted for, therefore informing planners of the importance of different assets. In a region where tourism is reliant upon natural features, this use of information systems in conjunction with quantitative statistical modelling can value-add to existing datasets. The provision of this kind of knowledge is important as it would otherwise not factor into the decision-making process had the datasets been considered independently of each other – a concept that applies to both the public and private sectors.

Composite indices: rank robustness, statistical association, and redundancy

This article evaluates the robustness of rankings obtained from composite indices that combine information from two or more components via a weighted sum. It examines the empirical prevalence of robust comparisons using the method proposed by Foster et al. (2010). Indices examined are the Human Development Index (HDI), the Index of Economic Freedom (IEF), and the Environmental Performance Index (EPI). Key theoretical results demonstrate links between the prevalence of robust comparisons, Kendall’s tau rank correlation coefficient, and statistical association across components. Implications for redundancy among index components are also examined.

Network traffic classification using correlation information

Traffic classification has wide applications in network management, from security monitoring to quality of service measurements. Recent research tends to apply machine learning techniques to flow statistical feature based classification methods. The nearest neighbor (NN)-based method has exhibited superior classification performance. It also has several important advantages, such as no requirements of training procedure, no risk of overfitting of parameters, and naturally being able to handle a huge number of classes. However, the performance of NN classifier can be severely affected if the size of training data is small. In this paper, we propose a novel nonparametric approach for traffic classification, which can improve the classification performance effectively by incorporating correlated information into the classification process. We analyze the new classification approach and its performance benefit from both theoretical and empirical perspectives. A large number of experiments are carried out on two real-world traffic data sets to validate the proposed approach. The results show the traffic classification performance can be improved significantly even under the extreme difficult circumstance of very few training samples.