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2014

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Digital Portfolios For Summative Assessment, Christopher P. Newhouse Jan 2014

Digital Portfolios For Summative Assessment, Christopher P. Newhouse

Research outputs 2014 to 2021

The collection and scoring of creative practical work for summative assessment across a large jurisdiction such as Western Australia is challenging. An alternative approach would be to submit digital representations as online portfolios. However, to give a valid and reliable measure the representations would need to be of adequate quality. Further, judgements of creative practical work are necessarily subjective giving concern about the reliability of scores for high-stakes assessment. The paired comparisons method of scoring lends itself to addressing this problem and is feasible where the work is in digital form. This paper reports on a three-year study to investigate …

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Diagnostically Assessing Western Australian Year 11 Students' Engagement With Theory In Visual Arts, Julia Morris, Geoffrey W. Lummis, Graeme J. Lock Jan 2014

Diagnostically Assessing Western Australian Year 11 Students' Engagement With Theory In Visual Arts, Julia Morris, Geoffrey W. Lummis, Graeme J. Lock

Research outputs 2014 to 2021

Theory linked to visual arts’ responding outcomes, is fundamental to the visual arts curriculum in facilitating visual literacy, or students’ ability to assemble meaning from, and construct new imagery. Without visual literacy, year 11 students are limited in understanding and fully participating in our technological, image-based society. Subsequently, a mixed methods doctoral study was undertaken to investigate students’ engagement in visual arts theory tasks, as increased engagement in theory was anticipated to improve students’ visual literacy outcomes. A diagnostic instrument was created to measure year 11 students’ prior learning in visual arts theory, as well as their cognitive and psychological …

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Cohesion, Coherence And Connectedness: The 3c Model For Enabling-Course Design To Support Student Transition To University, Suzanne Sharp, John A. O'Rourke, Jeniffer M. Lane, Anne-Maree Hays Jan 2014

Cohesion, Coherence And Connectedness: The 3c Model For Enabling-Course Design To Support Student Transition To University, Suzanne Sharp, John A. O'Rourke, Jeniffer M. Lane, Anne-Maree Hays

Research outputs 2014 to 2021

Recent Australian government policy has focused on attracting students from under-represented and diverse groups to tertiary education with university enabling courses one pathway for these students. The trend towards broader participation has altered traditional perceptions of a typical university student and raised delivery challenges. The ability to engage these students as learners and improve their academic outcomes and confidence towards successful course completion, is increasingly important to universities because of attrition costs to governments, students and higher education institutions, and is increasingly reflected in academic literature. While strategic student support options have been examined in detail, less focus has been …

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Icts For Agricultural Extension: A Study In Ratnagiri District Of Maharashtra, India, Niketa Gandhi, Leisa Armstrong Jan 2014

Icts For Agricultural Extension: A Study In Ratnagiri District Of Maharashtra, India, Niketa Gandhi, Leisa Armstrong

Research outputs 2014 to 2021

This study describes an assessment of attitudes of farmers from the Lanja tehsil of Ratnagiri district of Maharashtra in order to understand the information seeking behavior and reasons for the farmers seeking this agricultural information through different sources. To meet the objective of the study, a structured questionnaire and interviews were conducted to gather information on number of aspects related to the use of Information and Communication Technologies (ICT) from 100 randomly selected framers. Additional semi- structured questionnaire and checklist was provided to the key stakeholders. The farmer based questionnaire sought demographic data, information requirement data and uses of ICT …

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Redefining Education: Sustaining 1 To 1 Computing Strategies In Western Australian Schools, Christopher P. Newhouse, Jeniffer M. Lane, Martin G. Cooper, Peter Twining Jan 2014

Redefining Education: Sustaining 1 To 1 Computing Strategies In Western Australian Schools, Christopher P. Newhouse, Jeniffer M. Lane, Martin G. Cooper, Peter Twining

Research outputs 2014 to 2021

In 1993 the first WA private school adopted a 1 to 1 computing strategy and then ten years later the first government school did so. With the advent of the Digital Education Revolution initiative many schools in WA commenced 1 to 1 strategies and it has almost become an expectation in secondary schools. Our snapshots studies involved two new government schools and along established elite private school that had a similar vision for learning with digital technologies. The two government schools had 1 to 1 strategies, but had found that their chosen tablet PC was not robust enough, and had …

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Web-Based Training In E-Agriculture For Agricultural College, Prachyanum Nilsook, Leisa Armstrong, Pornchai Taechatanasat, Tirtha Ranjeet Jan 2014

Web-Based Training In E-Agriculture For Agricultural College, Prachyanum Nilsook, Leisa Armstrong, Pornchai Taechatanasat, Tirtha Ranjeet

Research outputs 2014 to 2021

This paper presents a web-based training system in eAgriculture for agricultural college in Thailand. The eAgriculture contents consist of introduction to information and communication technology (ICT) for agriculture, information technology in agriculture, agricultural management information system and precision farming. The research shows that the majority users are highly satisfied with the developed web-based training system. The users favoured four factors of the system including the content of the website; technical media production; the designing and the formatting of the website; and benefits of its uses.

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Application Of Cellular Neural Networks And Naive Bayes Classifier In Agriculture, Oluleye H. Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen Jan 2014

Application Of Cellular Neural Networks And Naive Bayes Classifier In Agriculture, Oluleye H. Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen

Research outputs 2014 to 2021

This article describes the use of Cellular Neural Networks (a class of Ordinary Differential Equation (ODE)), Fourier Descriptors (FD) and NaiveBayes Classifier (NBC) for automatic identification of images of plant leaves. The novelty of this article is seen in the use of CNN for image segmentation and a combination FDs with NBC. The main advantage of the segmentation method is the computation speed compared with other edge operators such as canny, sobel, Laplacian of Gaussian (LoG). The results herein show the potential of the methods in this paper for examining different agricultural images and distinguishing between different crops and weeds …

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Mobile Applications For Indian Agriculture Sector: A Case Study, Pratik Shah, Niketa Gandhi, Leisa Armstrong Jan 2014

Mobile Applications For Indian Agriculture Sector: A Case Study, Pratik Shah, Niketa Gandhi, Leisa Armstrong

Research outputs 2014 to 2021

Government, private agencies and the general public are often interested in the decisions made by the Indian farmers as they have large influences beyond the farm boundary. Over many years, the process of adoption of new technologies and policies in the Indian agricultural sector has received considerable academic attention highlighting the role of many social, financial and other influences on their decision making. The Indian government and other development agencies promote income generating projects as a way of encouraging growth through increased agricultural production and the protection of the natural resource base. The impact of new technology to economic growth …

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An Artificial Neural Network For Predicting Crops Yield In Nepal, Tirtha Ranjeet, Leisa Armstrong Jan 2014

An Artificial Neural Network For Predicting Crops Yield In Nepal, Tirtha Ranjeet, Leisa Armstrong

Research outputs 2014 to 2021

This paper examines the application of artificial neural networks (ANNs) for predicting crop yields for an agricultural region in Nepal. The neural network algorithm has become an effective data mining tool and the outcome produced by this algorithm is considered to be less error prone than other computer science techniques. The backpropagation algorithm which iteratively finds a suitable weight value is considered for computing the error derivative. Agricultural data was collected from thirteen years from paddy field cultivation in the Siraha district, an eastern region in Nepal, and used for this investigation of neural networks. Additionally, climatic parameters including rainfall, …

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Geospatial Data Pre-Processing On Watershed Datasets: A Gis Approach, Sreedhar Nallan, Leisa Armstrong, Barry Croke, Amiya K. Tripathy Jan 2014

Geospatial Data Pre-Processing On Watershed Datasets: A Gis Approach, Sreedhar Nallan, Leisa Armstrong, Barry Croke, Amiya K. Tripathy

Research outputs 2014 to 2021

Spatial data mining helps to identify interesting patterns from the spatial data sets. However, geo spatial data requires substantial data pre-processing before data can be interrogated further using data mining techniques. Multi-dimensional spatial data has been used to explain the spatial analysis and SOLAP for pre-processing data. This paper examines some of the methods for pre-processing of the data using Arc GIS 10.2 and Spatial Analyst with a case study dataset of a watershed.

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Decision Support System Data For Farmer Decision Making, Pornchai Taechatanasat, Leisa Armstrong Jan 2014

Decision Support System Data For Farmer Decision Making, Pornchai Taechatanasat, Leisa Armstrong

Research outputs 2014 to 2021

The capacity of farmers and agricultural scientists to be able to make in-season decisions is dependent on accurate climate, soil and plant data. This paper will provide a review of the types of environmental and crop data that can be collected by sensors which can used for decision support systems (DSS) or be further interrogated for real time data mining and analysis. This paper also presents a review of the data requirements for agricultural decision making by firstly reviewing decision support frameworks and agricultural DSSs, data acquisition, sensors for data acquisition and examples of data incorporation for agricultural DSSs.

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A Network That Really Works - The Application Of Artificial Neural Networks To Improve Yield Predictions And Nitrogen Management In Western Australia, Jinsong Leng, Andreas Neuhaus, Leisa Armstrong Jan 2014

A Network That Really Works - The Application Of Artificial Neural Networks To Improve Yield Predictions And Nitrogen Management In Western Australia, Jinsong Leng, Andreas Neuhaus, Leisa Armstrong

Research outputs 2014 to 2021

Yield predictions are notorious for being difficult due to many interdependent factors such as rainfall, soil properties, plant health, plant density etc. This study is based upon the author’s previously published work and extends its findings by further investigating the best mathematical solution to this dilemma. Artificial intelligence (AI) techniques have been applied to a large set of soil, plant, rainfall, and yield data from CSBP’s field research trial program. Here we further differentiate by investigate two ANN techniques, a genetic algorithm with back propagation neural networks (GA-BP-NN) and a particle swarm optimization with back propagation neural networks (PSO-BP-NN). Results …

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Role Of Icts In Improving Drought Scenario Management In India, Shubhangi S. Wankhede, Niketa Gandhi, Leisa Armstrong Jan 2014

Role Of Icts In Improving Drought Scenario Management In India, Shubhangi S. Wankhede, Niketa Gandhi, Leisa Armstrong

Research outputs 2014 to 2021

Drought is a natural phenomenon that affects social, economic and environmental sectors. It is caused due to low or no rainfall in the specific region and for some duration of time. Reduced soil moisture and ground water level are the other causes for drought. Based on its intensity, drought has impacts on various sectors like agriculture, transportation, forest fire, environment and many more. Agriculture is the major sector being affected by drought resulting in low crop production and having great detriment to economy of the country. In this paper, an attempt is made to study the different causes and effects …

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A Survey Of Image Processing Techniques For Agriculture, Lalit Saxena, Leisa Armstrong Jan 2014

A Survey Of Image Processing Techniques For Agriculture, Lalit Saxena, Leisa Armstrong

Research outputs 2014 to 2021

Computer technologies have been shown to improve agricultural productivity in a number of ways. One technique which is emerging as a useful tool is image processing. This paper presents a short survey on using image processing techniques to assist researchers and farmers to improve agricultural practices. Image processing has been used to assist with precision agriculture practices, weed and herbicide technologies, monitoring plant growth and plant nutrition management. This paper highlights the future potential for image processing for different agricultural industry contexts.

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Methods For Multimodal Analysis And Representation Of Teaching-Learning Interactions In Primary Science Lessons Captured On Video, Mark W. Hackling, Karen J. Murcia, Khadeeja Ibrahim-Didi, Susan M. Hill Jan 2014

Methods For Multimodal Analysis And Representation Of Teaching-Learning Interactions In Primary Science Lessons Captured On Video, Mark W. Hackling, Karen J. Murcia, Khadeeja Ibrahim-Didi, Susan M. Hill

Research outputs 2014 to 2021

Video-based classroom research is opening-up exciting new insights into how teachers generate productive opportunities for student engagement in quality learning, reasoning and the development of their scientific literacy. The significant role played by multimodal representations in learning and teaching becomes evident through the medium of video and its analysis. Classroom research that is framed from social constructivist, sociocultural, activity theory and social semiotic perspectives highlights the social interactions involving multimodal representations which are used to communicate science ideas and also act as semiotic resources for meaning making. Social and cognitive processes of co-constructing meaning are mediated by talk, embodied representations …

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Genetic Algorithm With Logistic Regression For Prediction Of Progression To Alzheimer's Disease, Piers Johnson, Luke Vandewater, William Wilson, Paul Maruff, Greg Savage, Petra Graham, Lance S. Macaulay, Kathryn A. Ellis, Cassandra Szoeke, Ralph N. Martins, Christopher Rowe, Colin L. Masters, David Ames, Ping Zhang Jan 2014

Genetic Algorithm With Logistic Regression For Prediction Of Progression To Alzheimer's Disease, Piers Johnson, Luke Vandewater, William Wilson, Paul Maruff, Greg Savage, Petra Graham, Lance S. Macaulay, Kathryn A. Ellis, Cassandra Szoeke, Ralph N. Martins, Christopher Rowe, Colin L. Masters, David Ames, Ping Zhang

Research outputs 2014 to 2021

Assessment of risk and early diagnosis of Alzheimer's disease (AD) is a key to its prevention or slowing the progression of the disease. Previous research on risk factors for AD typically utilizes statistical comparison tests or stepwise selection with regression models. Outcomes of these methods tend to emphasize single risk factors rather than a combination of risk factors. However, a combination of factors, rather than any one alone, is likely to affect disease development. Genetic algorithms (GA) can be useful and efficient for searching a combination of variables for the best achievement (eg. accuracy of diagnosis), especially when the search …

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Integrating Soil And Plant Tissue Tests And Using An Artificial Intelligence Method For Data Modelling Is Likely To Improve Decisions For In-Season Nitrogen Management, Andreas Neuhaus, Leisa Armstrong, Jinsong Leng, Dean Diepeveen, Geoff Anderson Jan 2014

Integrating Soil And Plant Tissue Tests And Using An Artificial Intelligence Method For Data Modelling Is Likely To Improve Decisions For In-Season Nitrogen Management, Andreas Neuhaus, Leisa Armstrong, Jinsong Leng, Dean Diepeveen, Geoff Anderson

Research outputs 2014 to 2021

This paper hypothesizes that there is value in combining soil, climate and plant tissue data to give more reliable advice on nitrogen top-ups in-season when compared with models that are currently available. The benefit of soil and climate data is to factor in N mineralisation and potential yield while plant test data is a more direct approach of yield estimates when considering firstly plant N uptake from the whole soil profile and secondly biomass (important yield component). Plant test data are closer to yield in time and space than soil test data, shortening the time period for any yield prognosis …

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Small To Medium Enterprise Cyber Security Awareness: An Initial Survey Of Western Australian Business, Craig Valli, Ian C. Martinus, Michael N. Johnstone Jan 2014

Small To Medium Enterprise Cyber Security Awareness: An Initial Survey Of Western Australian Business, Craig Valli, Ian C. Martinus, Michael N. Johnstone

Research outputs 2014 to 2021

Small to Medium Enterprises (SMEs) represent a large proportion of a nation’s business activity. There are studies and reports reporting the threat to business from cyber security issues resulting in computer hacking that achieve system penetration and information compromise. Very few are focussed on SMEs. Even fewer are focussed on directly surveying the actual SMEs themselves and attempts to improve SME outcomes with respect to cyber security. This paper represents research in progress that outlines an approach being undertaken in Western Australia with SMEs in the northwest metropolitan region of Perth, specifically within the large local government catchments of Joondalup …

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Moderation Of Assessments In A School Of Nursing And Midwifery; Enhancing Student Assessment Experiences, Lesley J. Andrew, Beverley A. Ewens, Rowena H. Scott Jan 2014

Moderation Of Assessments In A School Of Nursing And Midwifery; Enhancing Student Assessment Experiences, Lesley J. Andrew, Beverley A. Ewens, Rowena H. Scott

Research outputs 2014 to 2021

This paper details a quality improvement initiative undertaken in 2013 within a School of Nursing and Midwifery, in Western Australia. The objective of the initiative was to support and enhance commencing student assessment experiences thorough the development of an evidence based, standardised assessment of moderation process.

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Regulation Of Artisanal Small Scale Gold Mining (Asgm) In Ghana And Indonesia As Currently Implemented Fails To Adequately Protect Aquatic Ecosystems, Karunia F. Macdonald, Mark A. Lund, Melanie L. Blanchette, Clinton D. Mccullough Jan 2014

Regulation Of Artisanal Small Scale Gold Mining (Asgm) In Ghana And Indonesia As Currently Implemented Fails To Adequately Protect Aquatic Ecosystems, Karunia F. Macdonald, Mark A. Lund, Melanie L. Blanchette, Clinton D. Mccullough

Research outputs 2014 to 2021

Artisanal small scale gold mining (ASGM) operations are largely unregulated, informal and transient. Rudimentary mining and processing techniques used in ASGM often result in degraded environmental, safety, health and social conditions. ASGM requires permanent sources of water, placing most operations close to natural water bodies. Until recently, the impact on these environments has been largely overlooked, with most studies focussing primarily on mercury contamination and health concerns. Based on Ghanaian and Indonesian experiences, regulation of ASGM is a good step toward improvement, but here we argue that regulation alone is insufficient to improve environmental performance, particularly when the impacts of …

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Interest Rate Risk Of Australian Reits: A Panel Analysis, Jaime L. Yong, Abhay Singh Jan 2014

Interest Rate Risk Of Australian Reits: A Panel Analysis, Jaime L. Yong, Abhay Singh

Research outputs 2014 to 2021

Management structures of many Australian REITs have shifted towards internal property management since 2001. Sector returns have been rewarding until the Global Financial Crisis, but rising costs of debt and years of aggressive borrowing have eroded REIT values. Externally managed trusts had relatively higher levels of debt than internally managed counterparts thus increasing the sensitivities to interest rate risks. Yet internally managed REITs engage in a wider set of operating activities which compound market and financial risks. This study uses panel and panel quantile regressions to examine the joint impact of financial leverage and management structure on REIT returns in …

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Are We Approaching Pit Lake Closure From The Wrong Perspective?, Mark A. Lund, Melanie L. Blanchette Jan 2014

Are We Approaching Pit Lake Closure From The Wrong Perspective?, Mark A. Lund, Melanie L. Blanchette

Research outputs 2014 to 2021

Pit lakes are similar to natural lakes formed by faulting, glacial action, volcanic action and asteroid collisions. These natural lakes have, after thousands of years, developed into environmentally significant ecosystems. As artificial constructs, pit lakes can be modified prior to filling to enhance lake attributes, such as modification of catchment size, creation of littoral zones and addition of organic matter. Significant advances could be made in successful closure and relinquishment of pit lakes, by 1) choosing appropriate model lakes, 2) understanding successional processes, 3) designing pit lakes to enhance ecological values, and 4) recognizing that it will take time to …

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What Do Elevated Background Contaminant Concentrations Mean For Amd Risk Assessment And Management In Western Australia?, C. D. Mccullough, J. J Pearce Jan 2014

What Do Elevated Background Contaminant Concentrations Mean For Amd Risk Assessment And Management In Western Australia?, C. D. Mccullough, J. J Pearce

Research outputs 2014 to 2021

Water quality contaminants include a range of naturally occurring chemicals that can cause degradation of aquatic ecosystem water values when concentration ranges exceed biological tolerances. Both acid and metalliferous drainage (AMD) and acid sulfate soil (ASS) can increase contaminant concentrations through reduced pH and increased solute concentrations especially of toxic metals and metalloids. Water quality guideline criteria are typically used to maintain existing end use value objectives when managing AMD/ASS-affected waters. However, surface and ground waters of catchments comprising mining resources often show elevated solute concentrations in baseline conditions due to their unique geologies. From an AMD and ASS risk …

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Enhancing Experiential Learning In Planning Education Through An Online Toolkit Of Resources, Christine Slade, Johanna Rosier, Claudia Baldwin, Andrew Harwood, Eddo Coiacetto, Trevor Budge, Timothy J. Perkins Jan 2014

Enhancing Experiential Learning In Planning Education Through An Online Toolkit Of Resources, Christine Slade, Johanna Rosier, Claudia Baldwin, Andrew Harwood, Eddo Coiacetto, Trevor Budge, Timothy J. Perkins

Research outputs 2014 to 2021

This paper reports on the development of an online toolkit of resources to support the use and assessment of experiential learning (EL) across planning programs. Planning graduates face diverse workplace demands with expectations to address the local and regional implications of global trends, integrate technological advances with existing planning processes, as well as interpret and integrate changing legislative and institutional arrangements. Planning education is about educators, practitioners and students coming together. Equipping students for increasing complexity and change requires planning educators to design programs that facilitate the learning of personal and professional skills and both broad and specialised planning knowledge. …

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Industry Needs And Tertiary Journalism Education: Views From News Editors, Trevor A. Cullen, Stephen Tanner, Marcus O'Donnell, Kerry Green Jan 2014

Industry Needs And Tertiary Journalism Education: Views From News Editors, Trevor A. Cullen, Stephen Tanner, Marcus O'Donnell, Kerry Green

Research outputs 2014 to 2021

This research paper discusses the findings from a 2012 Australian Learning and Teaching Council (ALTC) sponsored project that canvassed the views of news editors around Australia about the "job readiness" of tertiary educated journalism graduates. The focus of this paper is limited to responses from news editors in Western Australia. Data was collected via face to face interviews with eleven news editors in Perth, Western Australia. The editors work in print, online, broadcast and television and all of them employ journalism graduates. The aim was to assess whether the five university based journalism programs in Perth provide graduates with the …

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Modelling And Analysis On Noisy Financial Time Series, Jinsong Leng Jan 2014

Modelling And Analysis On Noisy Financial Time Series, Jinsong Leng

Research outputs 2014 to 2021

Building the prediction model(s) from the historical time series has attracted many researchers in last few decades. For example, the traders of hedge funds and experts in agriculture are demanding the precise models to make the prediction of the possible trends and cycles. Even though many statistical or machine learning (ML) models have been proposed, however, there are no universal solutions available to resolve such particular prob-lem. In this paper, the powerful forward-backward non-linear filter and wavelet-based denoising method are introduced to remove the high level of noise embedded in financial time series. With the filtered time series, the statistical …

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Student Motivations For Studying Online: A Qualitative Study, Melanie K. Henry, Julie Ann Pooley, Maryam Omari Jan 2014

Student Motivations For Studying Online: A Qualitative Study, Melanie K. Henry, Julie Ann Pooley, Maryam Omari

Research outputs 2014 to 2021

The availability of online courses has continued to grow over recent years with more students now turning to online offerings. The flexibility offered through online learning is attractive to prospective students with some of the benefits including reduced costs, and the potential to increase and diversify the student body. Online courses provide the advantage of reaching those who may be ‘too busy’ for traditional study, and offer flexibility through anywhere, anytime access. While these benefits may attract prospective learners to the online environment there remains little empirical evidence for the reasons students actually make the decision to study online over …

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Serum Concentrations Of The Biomarkers Ca125, Ca15-3, Ca72-4, Tpsa And Papp-A In Natural And Stimulated Ovarian Cycles, Melissa J. Stemp, Peter Roberts, Allison Mcclements, Vincent Chapple, Jay Natalwala, Michael L. Black, Phillip L. Matson Jan 2014

Serum Concentrations Of The Biomarkers Ca125, Ca15-3, Ca72-4, Tpsa And Papp-A In Natural And Stimulated Ovarian Cycles, Melissa J. Stemp, Peter Roberts, Allison Mcclements, Vincent Chapple, Jay Natalwala, Michael L. Black, Phillip L. Matson

Research outputs 2014 to 2021

Objective: Biomarkers associated with cancer screening (CA125, CA15-3, CA72-4, total prostate specific antigen [tPSA]) and the monitoring of pregnancy (pregnancy associated plasma protein-A [PAPP-A]) were measured during natural and stimulated ovarian cycles in disease-free non-pregnant women to determine if they could reflect normal events relating to ovulation and/or endometrial changes. Methods: A total of 73 blood samples (10 women) collected throughout the natural menstrual cycle, and 64 blood samples (11 women) taken during stimulated ovarian cycles, were analysed on the Roche Cobas e411 automated analyser. Results: Detectable levels of tPSA were measured in at least one point in the cycle …

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Aurora Leigh And Elizabeth Barrett-Browning's Most Convenient Cousin, Jill F. Durey Jan 2014

Aurora Leigh And Elizabeth Barrett-Browning's Most Convenient Cousin, Jill F. Durey

Research outputs 2014 to 2021

The article examines the possibility that the fictional cousin marriage in Aurora Leigh was either a token of gratitude by Elizabeth Barrett-Browning for her real-life philanthropic cousin’s generosity to her or was a masked promise of immortality to him as he lay dying.

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The 'Oldest Tricks In The Book' Do Not Work! Reports Of Burglary By Duma Detainees In Western Australia, Natalie J. Gately, Jennifer Fleming, Nathalie Mcginty, Anthony M. Scott Jan 2014

The 'Oldest Tricks In The Book' Do Not Work! Reports Of Burglary By Duma Detainees In Western Australia, Natalie J. Gately, Jennifer Fleming, Nathalie Mcginty, Anthony M. Scott

Research outputs 2014 to 2021

Foreword : Research investigating the methods and motivations of burglars has typically focused on incarcerated offenders. The Australian Institute of Criminology’s Drug Use Monitoring in Australia (DUMA) program provided an opportunity for the authors to explore the methods and motivations of those actively involved in committing burglaries, whether or not they had actually been caught or detained for that offence. The findings support Routine Activity Theory, indicating that offenders consider a number of factors in determining whether a property will be targeted for a break and enter offence. As might be expected, opportunistic burglars choose easy to access properties, stay …

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