Evidence-based improvement of statistical inference practices in psychology and other disciplines. The commonest ways that many researchers currently draw conclusions from their data have been shown to be inefficient, and often used incorrectly. This project will develop new, better statistical representations and software tools for data analysis. It will evaluate and demonstrate the effectiveness of these. Wide adoption of these techniques and tools will enhance the international reputation ....Evidence-based improvement of statistical inference practices in psychology and other disciplines. The commonest ways that many researchers currently draw conclusions from their data have been shown to be inefficient, and often used incorrectly. This project will develop new, better statistical representations and software tools for data analysis. It will evaluate and demonstrate the effectiveness of these. Wide adoption of these techniques and tools will enhance the international reputation and competitiveness of Australian psychological science. Adoption by Australian researchers across the social and behavioural sciences, and in other disciplines including medicine, economics and ecology, will improve the efficiency and effectiveness of Australian research, with consequential wide-ranging benefits to the Australian community.Read moreRead less
Do director board appointments predict whether CEO pay is in line with company performance? Increasing pay differences between CEOs and the average working Australian have resulted in a less equitable and economically divided society. This issue has reached a critical point as taxpayer money is now needed to fund stimulus packages and finance companies facing insolvency while CEO pay on average has remained unchanged or increased. This inequity has the potential to cause social and political ins ....Do director board appointments predict whether CEO pay is in line with company performance? Increasing pay differences between CEOs and the average working Australian have resulted in a less equitable and economically divided society. This issue has reached a critical point as taxpayer money is now needed to fund stimulus packages and finance companies facing insolvency while CEO pay on average has remained unchanged or increased. This inequity has the potential to cause social and political instability. This research will provide much needed knowledge of how to address this issue including pay benchmarks, knowledge derived from international practice, corporate governance indices as well as understanding of how widespread pay norms have developed.Read moreRead less
The structure and dynamics of social contact for human disease transmission models. The methodological advances of this project will enable new insights in important social research. They will not only add significantly to national capacity in the modelling of complex social systems but they will also yield practical scientific outcomes in a significant policy domain in Australia and overseas. In Australia, response to diseases such as HIV, HCV and TB need new approaches, and the threat of pan ....The structure and dynamics of social contact for human disease transmission models. The methodological advances of this project will enable new insights in important social research. They will not only add significantly to national capacity in the modelling of complex social systems but they will also yield practical scientific outcomes in a significant policy domain in Australia and overseas. In Australia, response to diseases such as HIV, HCV and TB need new approaches, and the threat of pandemic influenza is significant. Read moreRead less
Cognitive models of decision making in clinical populations. This cognitive science project aims to develop new methods for mathematical modelling of decision making, and to apply these methods to study decision making in people with problem drug use. Precise measures of the thought processes underlying decision making in drug users will help to direct efforts to prevent and treat drug problems.
Emotions and Employee Turnover: New Methods for Complex Dynamic Systems. This project aims to vastly improve the data-analytic capabilities of social and health researchers, while increasing knowledge about emotion dynamics and their link to employee turnover. By drawing on and advancing methods from ecology and applied physics, this project plans to investigate the role that individual emotions play in employee turnover with new quantitative methods for characterising and testing causality in c ....Emotions and Employee Turnover: New Methods for Complex Dynamic Systems. This project aims to vastly improve the data-analytic capabilities of social and health researchers, while increasing knowledge about emotion dynamics and their link to employee turnover. By drawing on and advancing methods from ecology and applied physics, this project plans to investigate the role that individual emotions play in employee turnover with new quantitative methods for characterising and testing causality in complex dynamic systems. The expected outcomes include an improved capacity for researchers, managers, and policy makers to understand complex organisational, economic, and health systems. This will provide immediate societal benefits by informing the development and deployment of targeted interventions in such systems.Read moreRead less
Theory and applications of Bayesian and likelihood analyses for finite mixture, random effect and multinomial models. The expected outcomes of the project are: to establish the scientific
value of modern Bayesian methods for statistical inference in a wider
range of applications than previously available, to contribute to the greater unification of the current theories of statistical inference which are to some extent in conflict, and to provide a set of Bayesian analytic tools implemented in ....Theory and applications of Bayesian and likelihood analyses for finite mixture, random effect and multinomial models. The expected outcomes of the project are: to establish the scientific
value of modern Bayesian methods for statistical inference in a wider
range of applications than previously available, to contribute to the greater unification of the current theories of statistical inference which are to some extent in conflict, and to provide a set of Bayesian analytic tools implemented in widely available, free and open-source statistical software.
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Distinguishing categories and dimensions: Taxometric investigations. This project aims to apply and refine promising new methods for classifying psychological variations. These "taxometric" methods detect categories and locate their boundaries, enabling improved taxonomies of personality and mental disorder. They will be used to examine whether personality disorders are discrete categories or fall on a continuum with normal personality, and whether people mentally represent social groups accordi ....Distinguishing categories and dimensions: Taxometric investigations. This project aims to apply and refine promising new methods for classifying psychological variations. These "taxometric" methods detect categories and locate their boundaries, enabling improved taxonomies of personality and mental disorder. They will be used to examine whether personality disorders are discrete categories or fall on a continuum with normal personality, and whether people mentally represent social groups according to qualitatively distinct ontological assumptions. The statistical validity of these methods will be comprehensively assessed. The project should help to resolve enduring questions about psychological classification and deepen our understanding of social stereotyping.Read moreRead less
The dog that didn't bark: a Bayesian account of reasoning from censored data. This project aims to develop and test a new computational theory of inductive reasoning. Inductive reasoning involves extending knowledge from known to novel instances, and is a central component of intelligent behaviour. This project will address the cognitive mechanisms that allow people to draw inferences based on both observed and censored evidence. The project intends to test the model through an extensive program ....The dog that didn't bark: a Bayesian account of reasoning from censored data. This project aims to develop and test a new computational theory of inductive reasoning. Inductive reasoning involves extending knowledge from known to novel instances, and is a central component of intelligent behaviour. This project will address the cognitive mechanisms that allow people to draw inferences based on both observed and censored evidence. The project intends to test the model through an extensive program of experimental investigation and computational modelling. The anticipated benefits include an enhanced understanding of human inference, especially in domains such as the evaluation of forensic or financial evidence, where data censoring is common.Read moreRead less
Learning from our mistakes: How and when complex decisions fail. The project aims to develop a novel mathematical framework, augmented by simulations and a set of experiments, to study when and how people commit errors. The modern environment bombards us with signals, such as radio and television advertisements as we sit at home or warning lights and car honks as we cross the road. Despite years of psychological research, it is not entirely clear how efficiently people cope with increasing amoun ....Learning from our mistakes: How and when complex decisions fail. The project aims to develop a novel mathematical framework, augmented by simulations and a set of experiments, to study when and how people commit errors. The modern environment bombards us with signals, such as radio and television advertisements as we sit at home or warning lights and car honks as we cross the road. Despite years of psychological research, it is not entirely clear how efficiently people cope with increasing amounts of information nor is it clear whether they process multiple signals simultaneously (in parallel) or one after the other (serial). The project offers new measures, based on the rate and pattern of error responses, to supplement the commonly used response times. The combination of a theoretical framework, based on mathematical and computational work, with empirical data to test the models, may deliver a better understanding of human performance and its limitations.Read moreRead less
Pathogen sensing in systemic inflammatory disease. The initiation, amplification and quenching of an immune response is a carefully orchestrated process that eliminates invading pathogens while minimising collateral damage to host tissues. This research focuses on proteins that restrict immune responses to prevent inflammatory diseases such as rheumatoid arthritis, psoriasis and inflammatory bowel disease. This work will also explore the role of a potassium channel that protects the host from or ....Pathogen sensing in systemic inflammatory disease. The initiation, amplification and quenching of an immune response is a carefully orchestrated process that eliminates invading pathogens while minimising collateral damage to host tissues. This research focuses on proteins that restrict immune responses to prevent inflammatory diseases such as rheumatoid arthritis, psoriasis and inflammatory bowel disease. This work will also explore the role of a potassium channel that protects the host from organ failure during an infection, by coupling the energy requirements of mounting an immune response, and organ function. This may have important implications for the management of sepsis, a systemic immune response associated with infection and the leading cause of death in critically ill patients.Read moreRead less