Funding special education provision by means of discriminant function analysis

This thesis is concerned with the development of a funding mechanism, the Student Resource Index, which has been designed to resolve a number of difficulties which emerged following the introduction of integration or inclusion as an alternative means of providing educational support to students with disabilities in the Australian State of Victoria. Prior to 1984, the year in which the major integration or inclusion initiatives were introduced, the great majority of students with disabilities were educated in segregated special schools, however, by 1992 the integration initiatives had been successful in including within regular classes approximately half of the students in receipt of additional educational assistance on the basis of disability. The success of the integration program brought with it a number of administrative and financial problems which were the subject of three government enquiries. Central to these difficulties was the development of a dual system of special education provision. On one hand, additional resources were provided for the students attending segregated special schools by means of weighted student ratios, with one teacher being provided for each six students attending a special school. On the other hand, the requirements of individual students integrated into regular schools were assessed by school-based committees on the basis of their perceived extra educational needs. The major criticism of this dual system of special education funding was that it created inequities in the distribution of resources both between the systems and also within the systems. For example, three students with equivalent needs, one of whom attended a special school and two of whom attended different regular schools could each be funded at substantially differing levels. The solution to these inequities of funding was seen to be in the development of a needs based funding device which encompassed all students in receipt of additional disability related educational support. The Student Resource Index developed in this thesis is a set of behavioural descriptors designed to assess degree of additional educational need across a number of disability domains. These domains include hearing, vision, communication, health, co-ordination (manual and mobility), intellectual capacity and behaviour. The completed Student Resource Index provides a profile of the students’ needs across all of these domains and as such addresses the multiple nature of many disabling conditions. The Student Resource Index was validated in terms of its capacity to predict the ‘known’ membership or the type of special school which some 1200 students in the sample currently attended. The decision to use the existing special school populations as the criterion against which the Student Resource Index was validated was based on the premise that the differing resource levels of these schools had been historically determined by expert opinion, industrial negotiation and reference to other special education systems as the most reliable estimate of the enrolled students’ needs. When discriminant function analysis was applied to some 178 students attending one school for students with mild intellectual disability and one facility for students with moderate to severe intellectual disability the Student Resource Index was successful in predicting the student's known school in 92 percent of cases. An analysis of those students (8 percent) which the Student Resource Index had failed to predict their known school enrolment revealed that 13 students had, for a variety of reasons, been inappropriately placed in these settings. When these students were removed from the sample the predictive accuracy of the Student Resource Index was raised to 96 percent of the sample. By comparison the domains of the Vineland Adaptive Behaviour Scale accurately predicted known enrolments of 76 percent of the sample. By way of replication discriminant function analysis was then applied to the Student Resource Index profiles of 518 students attending Day Special Schools (Mild Intellectual Disability) and 287 students attending Special Developmental Schools (Moderate to Severe Intellectual Disability). In this case, the Student Resource Index profiles were successful in predicting the known enrolments of 85 percent of students. When a third group was added, 147 students attending Day Special Schools for students with physical disabilities, the Student Resource Index predicted known enrolments in 80 percent of cases. The addition of a fourth group of 116 students attending Day Special Schools (Hearing Impaired) to the discriminant analysis led to a small reduction in predictive accuracy from 80 percent to 78 percent of the sample. A final analysis which included students attending a School for the Deaf-Blind, a Hospital School and a Social and Behavioural Unit was successful in predicting known enrolments in 71 percent of the 1114 students in the sample. For reasons which are expanded upon within the thesis it was concluded that the Student Resource Index when used in conjunction with discriminant function analysis was capable of isolating four distinct groups on the basis of their additional educational needs. If the historically determined and varied funding levels provided to these groups, inherent in the cash equivalent of the staffing ratios of Day Special Schools (Mild Intellectual Disability), Special Development Schools (Moderate to Severe Intellectual Disability), Day Special Schools (Physical Disability) and Day Special Schools (Hearing Impairment) are accepted as reasonable reflections of these students’ needs these funding levels can be translated into funding bands. These funding bands can then be applied to students in segregated or inclusive placements. The thesis demonstrates that a new applicant for funding can be introduced into the existing data base and by the use of discriminant function analysis be allocated to one of the four groups. The analysis is in effect saying that this new student’s profile of educational needs has more in common with Group A than with the members of Groups B, C, or D. The student would then be funded at Group A level. It is immaterial from a funding point of view whether the student decides to attend a segregated or inclusive setting. The thesis then examines the impact of the introduction of Student Resource Index based funding upon the current funding of the special schools in one of the major metropolitan regions. Overall, such an initiative would lead to a reduction of 1.54 percent of the total funding accruing to the region’s special schools.

Effectiveness of recording in primary science : a study of the ability of junior primary school pupils to use drawing as an effective method of communication in science lessons

Drawing as a means of recording is a very common practice in junior primary science lessons. This is largely due to the availability of necessary materials. Also, most youg children have some degree of drawing skill and enjoy drawing activities. Since 1956 the science curriculum to be implemented in primary classrooms in Victoria has changed from one that was based largely on nature study (biological) to one that includes physical and technological aspects. Further, there have been changes in the teaching methodologies advocated for use in science lessons. A modified Interactive Teaching Approach was used for the studies. Drawing was the main means by which the children recorded information. The topic of 'shells' was used to enable collection of data about the children's enjoyment of the activity and satisfaction with their achievement. This study was replicated using the topic 'rocks'; again data were collected concerning satisfaction and enjoyment. During a series of lessons on 'snails' data were collected concerning the achievement of 'process' and 'objective' purposes that teachers might have in mind when setting a drawing activity. In addition to providing data about purposes the study stimulated some questions regarding the techniques the children had used in their drawings. Accordingly, data concerning the use of graphic techniques by the children were collected during a series of lessons on 'oils'. The data collected and analysed in the various studies highlighted the value of drawing in junior primary school science lessons. It also validated strategies developed by the author and designed to help teachers and children use drawing effectively in science activities.

Cross-cultural adaptation of a tobacco questionnaire for Punjabi, Cantonese, Urdu and Sylheti speakers: qualitative research for better clinical practice, cessation services and research.Â

Objective : To develop cross‐culturally valid and comparable questionnaires for use in clinical practice, tobacco cessation services and multiethnic surveys on tobacco use.
Methods : Key questions in Urdu, Cantonese, Punjabi and Sylheti on tobacco use were compiled from the best existing surveys. Additional items were translated by bilingual coworkers. In one‐to‐one and group consultations, lay members of the Pakistani, Chinese, Indian Sikh and Bangladeshi communities assessed the appropriateness of questions. Questionnaires were developed and field tested. Cross‐cultural comparability was judged in a discussion between the researchers and coworkers, and questionnaires were finalised. Questionnaires in Cantonese (written and verbal forms differ) and Sylheti (no script in contemporary use) were written as spoken to avoid spot translations by interviewers.
Results : The Chinese did not use bidis, hookahs or smokeless tobacco, so these topics were excluded for them. It was unacceptable for Punjabi Sikhs to use tobacco. For the Urdu speakers and Sylheti speakers there was no outright taboo, particularly for men, but it was not encouraged. Use of paan was common among women and men. Many changes to existing questions were necessary to enhance cultural and linguistic appropriateness—for example, using less formal language, or rephrasing to clarify meaning. Questions were modified to ensure comparability across languages, including English.
Conclusion : Using theoretically recommended approaches, a tobacco‐related questionnaire with face and content validity was constructed for Urdu, Punjabi, Cantonese and Sylheti speakers, paving the way for practitioners to collect more valid data to underpin services, for sounder research and ultimately better tobacco control. The methods and lessons are applicable internationally.

Understanding property cycles in a residential market

Purpose – This paper aims to review property cycle theory and the relevance of the larger body of knowledge about cycles with reference to the housing market. It also aims to highlight the lack of research into property cycles in the residential sector on a suburb or smaller region basis, as well as the potential for increased knowledge about cycles to assist to avoid housing stress.

Design/methodology/approach – The paper conducts a literature review of previous cycle research and encourages the use of cycle theory. It discusses the established body of knowledge about business cycles and the office market sector, as well as investigating levels of housing affordability and how detailed knowledge about property cycles can assist to decrease housing affordability in residential areas, which will eventually experience a downturn.

Findings – It is argued that an increased level of certainty about cycle behaviour in particular suburbs will give households a higher level of confidence when considering whether and when to enter the market. Property cycle research has the potential to assist low-income homeowners to better understand the characteristics of cycles and associated risks in each residential.

Research limitations/implications – This is a conceptual paper and has conducted a review of cycle research and housing affordability in certain countries. Some areas or countries may be affected to varying degrees by property cycles and levels of housing affordability.

Practical implications – In extended periods of high volatility it is argued that a better understanding of housing cycles will allow more homeowners to avoid negative equity and the stress associated with repossessions. Property cycles are unavoidable although there is typically relatively little information available in the open market about the timing and amplitude of cycles in individual areas.

Originality/value – This paper is unique as it highlights the potential for property cycles to be used to avoid housing stress in the residential market. Traditionally cycle research is used to increase returns and avoid downturns in the office and/or business sectors.

An observational study of health professionals’ use of evidence to inform the development of clinical management tools

Aim. This observational study sought to investigate the process of evidence use by health professionals during development of evidence-based clinical management tools.

Background. Studies conducted to explore the process of research use are scarce and knowledge of this process is essential for our understanding of the influences on research use in practice.

Design. A qualitative, non-participant, observational design.

Methods. Behaviour and actions of two separate multidisciplinary teams were observed and audio-recorded during a combined total of seven meetings for the development of clinical management tools. Semi-structured, one-to-one interviews were conducted approximately half-way through the development process and following completion of the clinical management tools.

Results. Three major themes emerged from this research. First, the process of clinical management tool development and evidence use. Nurses assumed responsibility for coordination of development which focused on describing current practice. Second, the forms of evidence employed during the development process included the use of experiential knowledge, opinions and knowledge of the context, in addition to research evidence. However, reference to research evidence was limited and its incorporation into the instrument was infrequently observed. Third, the use of research evidence emerged with respect to how such evidence was employed.

Conclusion. This study focused on real-life discussion and decision-making that occurred between health professionals when developing evidence-based clinical management tools. Health professionals may have a tendency to rely on their professional experience and current practice in preference to seeking and applying relevant research evidence.

Relevance to clinical practice. Nurses have an important role to play in the development of multidisciplinary evidence-based clinical management tools, but to actively participate in this process they need to be familiar with the relevant research evidence and have the skills and confidence to integrate the evidence into practice.

Enhancing Knowledge Sharing with Information and Communication Technology (ICT)

The acceleration of technological change and trade liberalization in the 1990s have significantly intensified market competition and transformed the world economic infrastructure from a resource- and manufacturing-based economy to one in which knowledge and services are the key drivers of economic growth. In order for an organization to capitalize on its knowledge and truly become a learning organization, it must begin to systematically manage and leverage knowledge existing internally and externally to create and sustain its competitive advantage. Numerous empirical studies on knowledge management have examined the relative effectiveness of various enablers, such as organizational structure, technology, culture, managerial system and strategy on knowledge creation and sharing in organizations. The enablers examined earlier are mostly related to organizational infrastructure that promotes knowledge sharing in organizations. This paper examines specifically the critical role of information and communication technology (ICT) in facilitating and enhancing knowledge sharing and organizational performance. This study adopted a process oriented approach by using Nonaka’s (1994) knowledge sharing model. The results indicate that significant positive effects of ICT support on knowledge sharing and all dimensions of knowledge sharing are significant predictors of organizational performance.

Producing the market for alcohol : the Victorian example

This article analyses three important inquiries into alcohol licensing in Victoria from 1965 to 1986. It argues that each inquiry was directed to produce a market for alcohol, but the 1986 inquiry, in particular, was directed to produce the conditions for the Night-time Economy. Since the mid-twentieth century, Victoria was considered a bell weather state in relation to alcohol licensing and this was increasingly the case when it comes to the state retreating from control over licensing conditions. From the end of six o'clock closing to the 24 hour city, the inquiries transformed the issues related to alcohol from the problems associated with alcohol consumption to the treatment of alcohol as just another consumer commodity.

Marketing planning : operationalising the market orientation strategy

Despite strong empirical validation of the relationship between market orientation and business performance, the literature is inconclusive on the implementation of the strategy. This paper reviews the implementation of market orientation, and investigates the associations between market orientation and marketing planning and their associations with business performance. A survey of 216 Australian larger business organisations was conducted to find evidence of these relationships. The results highlight a close association between market orientation and marketing planning, with virtually the same level of association between them, and the business performance measures used. This evidence suggests that they arguably represent the same domain. The results suggest that marketing practitioners may use the marketing planning technique as an intangible productive resource to operationalise the market orientation strategy, and use it to design a specific style and magnitude of market orientation suitable for an organisation.

Inter-relationships between innovation and market orientation in SMEs

Purpose – This study aims to explore the nature of the interactions between two strategies, innovation and market orientation. By examining the components of these constructs the paper seeks to identify key components of market orientation that are antecedent factors of the innovation performance of the firm.

Design/methodology/approach – Correlation analysis was undertaken on data from a survey of 73 manufacturing firms in the Greater Western Sydney economic development zone in Australia. The data were supplemented by information obtained from the firm's annual reports.

Findings – Innovation was found to be positively correlated to market orientation (customer orientation, competitor orientation and inter-functional co-ordination) and both of these constructs were found to be positively correlated to firm performance and the degree of change in the firm's competitive environment.

Research limitations/implications – Possible limitations are: the low survey response rate; the nature of the sampled population; and the spread of industries involved, which could limit the generalisability of the results. The next steps will be to conduct deeper analysis into the factors that make up the subscales of the two constructs and to determine how market orientation or its associated activities interact with the innovation process.

Practical implications – In order to maximize a firm's financial performance, organizations should increase both their market orientation and their innovation activities as these factors operate synergistically.

Originality/value – This study is arguably the first to establish the finding that the degree of change in the competitive environment and the level of market orientation are linked, and the identification of the components of market orientation that are linked to firm innovation. These findings suggest that firm innovation and firm market orientation are strategic reactions to changes in the firm's competitive environment.

The decomposition of housing market variations : a panel data approach

Purpose – This paper develops a new decomposition method of the housing market variations to analyse the housing dynamics of the Australian eight capital cities.
Design/methodology/approach – This study reviews the prior research on analysing the housing market variations and classifies the previous methods into four main models. Based on this, the study develops a new decomposition of the variations, which is made up of regional information, homemarket information and time information. The panel data regression method, unit root test and F test are adopted to construct the model and interpret the housing market variations of the Australian capital cities.
Findings – This paper suggests that the Australian home-market information has the same elasticity to the housing market variations across cities and time. In contrast, the elasticities of the regional information are distinguished. However, similarities exit in the west and north of Australia or the south and east of Australia. The time information contributes differently along the observing period, although the similarities are found in certain periods.
Originality/value – This paper introduces the housing market variation decomposition into the research of housing market variations and develops a model based on the new method of the housing market variation decomposition.

Knowledge discovery in data streams

Knowing what to do with the massive amount of data collected has always been an ongoing issue for many organizations. While data mining has been touted to be the solution, it has failed to deliver the impact despite its successes in many areas. One reason is that data mining algorithms were not designed for the real world, i.e., they usually assume a static view of the data and a stable execution environment where resources are abundant. The reality however is that data are constantly changing and the execution environment is dynamic. Hence, it becomes difficult for data mining to truly deliver timely and relevant results. Recently, the processing of stream data has received many attention. What is interesting is that the methodology to design stream-based algorithms may well be the solution to the above problem. In this entry, we discuss this issue and present an overview of recent works.

Advanced graph mining methods for protein analysis

As one of the primary substances in a living organism, protein defines the character of each cell by interacting with the cellular environment to promote the cell’s growth and function [1]. Previous studies on proteomics indicate that the functions of different proteins could be assigned based upon protein structures [2,3]. The knowledge on protein structures gives us an overview of protein fold space and is helpful for the understanding of the evolutionary principles behind structure. By observing the architectures and topologies of the protein families, biological processes can be investigated more directly with much higher resolution and finer detail. For this reason, the analysis of protein, its structure and the interaction with the other materials is emerging as an important problem in bioinformatics. However, the determination of protein structures is experimentally expensive and time consuming, this makes scientists largely dependent on sequence rather than more general structure to infer the function of the protein at the present time. For this reason, data mining technology is introduced into this area to provide more efficient data processing and knowledge discovery approaches.

Unlike many data mining applications which lack available data, the protein structure determination problem and its interaction study, on the contrary, could utilize a vast amount of biologically relevant information on protein and its interaction, such as the protein data bank (PDB) [4], the structural classification of proteins (SCOP) databases [5], CATH databases [6], UniProt [7], and others. The difficulty of predicting protein structures, specially its 3D structures, and the interactions between proteins as shown in Figure 6.1, lies in the computational complexity of the data. Although a large number of approaches have been developed to determine the protein structures such as ab initio modelling [8], homology modelling [9] and threading [10], more efficient and reliable methods are still greatly needed.

In this chapter, we will introduce a state-of-the-art data mining technique, graph mining, which is good at defining and discovering interesting structural patterns in graphical data sets, and take advantage of its expressive power to study protein structures, including protein structure prediction and comparison, and protein-protein interaction (PPI). The current graph pattern mining methods will be described, and typical algorithms will be presented, together with their applications in the protein structure analysis.

The rest of the chapter is organized as follows: Section 6.2 will give a brief introduction of the fundamental knowledge of protein, the publicly accessible protein data resources and the current research status of protein analysis; in Section 6.3, we will pay attention to one of the state-of-the-art data mining methods, graph mining; then Section 6.4 surveys several existing work for protein structure analysis using advanced graph mining methods in the recent decade; finally, in Section 6.5, a conclusion with potential further work will be summarized.

Explaining organizational investment in CRM point solutions

This paper asks why organisations invest in non-integrated CRM point solutions when many of the benefits of enterprise systems are claimed to be due to integration of processes and information. This paper identifies six factors that explain why organisations invest in CRM point solutions: reduced risk; lower cost; quick benefits realization; low integration ability, low interdependence of business units, and high business-unit differentiation. The evidence suggests that when interdependence between parts of an organization is low, possibly due to one unit producing a clearly differentiated product, the attractions of lower risk, lower cost, and/or faster access to the benefits are likely to induce organizations to adopt CRM point solutions. The contribution of this study is that it recognizes that, and explains why, it is not always optimal for organizations to adopt integrated CRM solutions.

Major grass pollen allergen Lol p 1 binds to diesel exhaust particles : implications for asthma and air pollution

Background Grass pollen allergens are known to be present in the atmosphere in a range of particle sizes from whole pollen grains (approx. 20 to 55 μim in diameter) to smaller size fractions < 2.5 μ (fine particles, PM2.5). These latter particles are within the respirable range and include allergen-containing starch granules released from within the grains into the atmosphere when grass pollen ruptures in rainfall and are associated with epidemics of thunderstorm asthma during the grass pollen season. The question arises whether grass pollen allergens can interact with other sources of fine particles, particularly those present during episodes of air pollution.

Objective We propose the hypothesis that free grass pollen allergen molecules, derived from dead or burst grains and dispersed in microdroplets of water in aerosols, can bind to fine particles in polluted air.

Methods We used diesel exhaust carbon particles (DECP) derived from the exhaust of a stationary diesel engine, natural highly purified Lol p 1, immunogold labelling with specific monoclonal antibodies and a high voltage transmission electron -microscopic imaging technique

Results DECP are visualized as small carbon spheres, each 30–60 nm in diameter, forming fractal aggregates about 1–2μ in diameter. Here we test our hypothesis and show by in vitro experiments that the major grass pollen allergen, Lol p I. binds to one defined class of fine particles, DECP.

Conclusion DECP are in the respirable size range, can bind to the major grass pollen allergen Lol p I under in vitro conditions and represent a possible mechanism by which allergens can become concentrated in polluted air and thus trigger attacks of asthma.

Inside guide to getting published

In this seminar Dr Georgina Kelly gave useful advice to Higher Degree students and early career researchers on “When to publish what during your PhD; publishing in conferences and journals; impact versus reputation; and how to get your paper read by others’. Professor Terry Evans spoke of the importance of ‘Being strategic about publishing with(in) a thesis: the public and accessible nature of contemporary PhD theses and the implications for publishing during candidature and for subsequent publications’. In her presentation, ‘Transitioning: riding the wave’, Associate Professor Karen Stagnitti’s drew on her experiences as an HDR student and Early Career Researcher, raising the importance of recognizing opportunities for presenting at conferences, networking and publishing. Associate Professor Rohan Bastin, discussed benefits of ‘Developing pragmatic and rewarding publishing strategies; strategies and opportunities for having multiple publication projects on the go; tailoring one's output to the esteem criteria relevant to disciplines as well as one's own esteem criteria relevant to one's specialist area’.