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Full-Text Articles in Arts and Humanities
Immune Factors In The Neuregulin-1 Knockout Mouse Model Of Schizophrenia, P Snikeris, Xu-Feng Huang, Elisabeth T. Frank
Immune Factors In The Neuregulin-1 Knockout Mouse Model Of Schizophrenia, P Snikeris, Xu-Feng Huang, Elisabeth T. Frank
Faculty of Health and Behavioural Sciences - Papers (Archive)
No abstract provided.
Exploring The Relevancy Of The Person Centred Care Model For Dementia Care Within Aboriginal And Torres Strait Islander Communities, Faye B. Mcmillan, David R. Kampers, Victoria Traynor, J Dewing
Exploring The Relevancy Of The Person Centred Care Model For Dementia Care Within Aboriginal And Torres Strait Islander Communities, Faye B. Mcmillan, David R. Kampers, Victoria Traynor, J Dewing
Faculty of Health and Behavioural Sciences - Papers (Archive)
No abstract provided.
Sharing Quality Resources For Teaching And Learning: A Peer Review Model For The Altc Exchange In Australia, Geraldine Lefoe, Robyn Philip, Meg O'Reilly, Dominique Parrish
Sharing Quality Resources For Teaching And Learning: A Peer Review Model For The Altc Exchange In Australia, Geraldine Lefoe, Robyn Philip, Meg O'Reilly, Dominique Parrish
Faculty of Health and Behavioural Sciences - Papers (Archive)
The ALTC Exchange (formerly the Carrick Exchange), is a national repository and networking service for Australian higher education. The Exchange was designed to provide access to a repository of shared learning and teaching resources, work spaces for team members engaged in collaborative projects, and communication and networking services. The Australian Learning and Teaching Council (ALTC) established the Exchange for those who teach, manage and lead learning and teaching in higher education. As part of the research conducted to inform the development of the Exchange, models for peer review of educational resources were evaluated. For this, a design based research approach …
Constructing A Research Based Pre-Care Model To Improve Mental Health Interventions For Young People, Lindsey Harrison, Sue Webster
Constructing A Research Based Pre-Care Model To Improve Mental Health Interventions For Young People, Lindsey Harrison, Sue Webster
Faculty of Health and Behavioural Sciences - Papers (Archive)
ObjectiveThis study had two aims. Firstly, to explore how young people experienced the onset of mental health problems and to investigate their initial interactions with the health system; and secondly, to use thesefindings to construct a pre-care model that can be used by nurses and other health care professionals todesign appropriate interventions.DesignGrounded theory method was used to develop a theory of young peoples experience of the pathway to mental health care. Data were obtained through in-depth semi-structured interviews.SettingParticipants were recruited through two community health centres in a Sydney metropolitan area healthservice.SubjectsThe purposive sample consisted of eight males and twelve females …
Collaborative Recovery: An Integrative Model For Working With Individuals Who Experience Chronic And Recurring Mental Illness, Lindsay G. Oades, Frank P. Deane, Trevor P. Crowe, Gordon Lambert, David Kavanagh, Christopher Lloyd
Collaborative Recovery: An Integrative Model For Working With Individuals Who Experience Chronic And Recurring Mental Illness, Lindsay G. Oades, Frank P. Deane, Trevor P. Crowe, Gordon Lambert, David Kavanagh, Christopher Lloyd
Faculty of Health and Behavioural Sciences - Papers (Archive)
Objectives: Recovery is an emerging movement in mental health. Evidence for recovery-based approaches is not well developed and approaches to implement recovery-oriented services are not well articulated. The collaborative recovery model (CRM) is presented as a model that assists clinicians to use evidencebased skills with consumers, in a manner consistent with the recovery movement. A current 5 year multisite Australian study to evaluate the effectiveness of CRM is briefly described. Conclusion: The collaborative recovery model puts into practice several aspects of policy regarding recovery-oriented services, using evidence-based practices to assist individuals who have chronic or recurring mental disorders (CRMD). It …
Individual Difference & Computer User-Training Behaviour: Examination Of An Empirical Model, Anura R. Jayasuriya, Peter Caputi, Leonie M. Miller, Jocelyn R. Harper, Shae-Leigh C. Vella, Joseph A. Meloche
Individual Difference & Computer User-Training Behaviour: Examination Of An Empirical Model, Anura R. Jayasuriya, Peter Caputi, Leonie M. Miller, Jocelyn R. Harper, Shae-Leigh C. Vella, Joseph A. Meloche
Faculty of Health and Behavioural Sciences - Papers (Archive)
A model that incorporates both stable and dynamic individual differences to the nomological net of the Technology Acceptance Model (TAM) in the context of computer user training is proposed. A study using 348 completed surveys from University students engaged in computer training found that stable traits (Negative Affects, Trait Anxiety and Personal Innovativeness in IT (PIIT)) explained 35% of variance in Computer Anxiety (CA). Significant support to the model provides evidence that stable individual differences are antecedents to and predict both Computer Self Efficacy and CA. In addition, the model demonstrates the relationship of these determinants to the TAM.
Is The Technology Acceptance Model A Valid Model Of User Satisfaction Of Information Technology In Environments Where Usage Is Mandatory?, Dave Mather, Peter Caputi, Rohan Jayasuriya
Is The Technology Acceptance Model A Valid Model Of User Satisfaction Of Information Technology In Environments Where Usage Is Mandatory?, Dave Mather, Peter Caputi, Rohan Jayasuriya
Faculty of Health and Behavioural Sciences - Papers (Archive)
The validity of the two models based on the extended Technology Acceptance Model (Venkatesh and Davies, 2000) in predicting user satisfaction of an incident reporting system in a mandated setting was tested using 84 employees from a large manufacturing company. The models differed in how the construct, subjective norm was represented. Although the results indicated that both models fitted the data, the anticipated relationship between subjective norms and user satisfaction was not supported. Furthermore, some of the antecedent factors did not predict perceived usefulness as anticipated.