Research process
We tailor our research to your specific needs and love to assist you from start to finish:
- Formulating the research question
- Research design
- Data collection
- Data analyses
- Conclusions and recommendations
- Research translation
We can also assist with ethics applications and trial registrations.
Populations groups
We have conducted research with a wide variety of populations over-time. We can broadly split into working populations and populations with specific needs.
- Employees, rural business owners, blueberry farmers, childcare centres, education providers
- GPs, Emergency Clinicians, orthopaedic surgeons, doctors in training, nurses, aged care workers, dementia-care trainees
- Older people, rural populations, consumers, migrants, people who use drugs, people who have experienced flooding, orthopaedic patients and young people.
- Nursing allied health and medical students
Areas of expertise
- Rural education and workforce
- Digital technology
- Ageing Workforce
- Sustainable employability
- Human Resources Management
- Work, Health and Safety
- Health provider behaviour change
- (Health) behaviour change
- Health promotion
- Quality use of medicines
- Healthy ageing
- Quality of life
- Socio-economic, behavioural, environmental, health, employment and retirement factors
Consultants
Work Wiser International has a core team of consultants and has also access to a team of highly qualified research consultants. Therefore, we can offer a wide range of services and can draw on:
- work, ageing and health specialists
- HR professionals
- policy analysts and advisors
- health professionals
- Innovation experts
- gerontologists
- occupational health researchers
- occupational health physicians
- public health researchers
- medical researchers
- industrial psychologists
- psychiatrists
- biostatisticians
- coaches and counsellors
- marketing specialists
- business analysts
- nurse researchers
- environmental specialists
- accountancy researchers
- psychologists
- epidemiologists
Keystake holders consultation
We have extensive experience in consulting on international and national level with key stakeholders, including:
- Employers and employees
- Industry, professional and consumer peak bodies
- Service providers
- State government
- Local government
- Consumers
- Seniors
- Migrants
- Young people
- Small Business
- Culturally and Linguistically Diverse people
- Communities
Study designs
We design studies tailored to your individual needs. They may consist of:
- Meta-analyses
- Systematic reviews
- Literature reviews
- Cluster Randomised Controlled Trials
- Randomised Controlled Trials
- Controlled Before and After Trials
- Prospective Case-Control studies
- Retrospective Case Control studies
- Prospective Cohort Studies
- Retrospective Cohort Studies
- Cross-sectional surveys
- Population surveys
- Longitudinal studies
- Record-linkage studies
- Time Series Analyses
- Case series
- Case studies
- Action Research
Data collection and stake holder consultation methods
Data collection methods will depend on the research question and your needs and may consist of:
- Routinely collected datasets
- Data mining
- Health checks
- Workplace risk assessments
- Internet surveys
- Social media
- Social network analyses
- Mail surveys
- CATI
- Telephone surveys
- Face-to-face interviews
- In-depth/ semi-structured/ structured interviews
- Focus groups
- Nominal group techniques
- Delphi methods
- Photo elucidation
- Cognitive lab-techniques
- Observation
- Qualitative research
- Data triangulation
- Public forums
- Seminars
- Workshop facilitation
Data analyses
We also offer in-house data analyses, which adds massive value to you as our client, such as:
- Highly experienced data management and merging capabilities
- Data analyses of record linkage data such as Pharmaceutical Benefits Scheme Data
- Meta-analyses
- Simple statistical analyses
- Experienced qualitative researchers
Advanced statistical technique such as:
- Multivariate logistic regression
- Multinomial logistic regression analyses
- Regression analyses
- Cluster analyses
- Structural equation modelling
- Nested multivariate longitudinal data analyses
- Generalized estimating equations (GEE)
- Factor analyses
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