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Songlines
One of many sung narratives of the landscape that weave across Country and enable every significant place in Aboriginal Dreaming to be known
Dreaming
A timeless concept and a guide to life and living where Dreaming is not just stories, it is art, songs, dance; it is written into the land itself
Oral culture
A culture in which information and stories are communicated by word of mouth
Sung narrative
A story told through singing, music and sometimes dance
Difference between songlines and method of loci
Those who used songlines were almost three times as likely to remember the entire list in their second test than students who used the method of loci as Aboriginal method is better suited to teaching in a single, relatively short instruction period
Similarity between songlines and method of loci
Both memory techniques were effective in learning information that is sequential in nature
Culture
A way of life that is shared and learned
Cultural determinants of wellbeing
Cultural factors that influence health and wellbeing
Cultural continuity
The ability to preserve the historical traditions of a culture and carry them forward with that culture into the future
Self-determination
The ability to participate in decisions on matters that affect one's life
SEWB Model for Indigenous Wellbeing
- Views physical and mental health holistic concept that may change across the lifespan of an individual
- At the centre, is the individual who is surrounded by a network of relationships between individuals, family, kin and community
- Recognises the importance of connection to land, culture, spirituality and ancestry and how these affect the individual
Connection to body
Feeling strong and healthy and able to physically participate as fully as possible in life
Connection to mind and emotions
Ability to manage thoughts and feelings
Connection to family and kinship
Central to the functioning of Aboriginal and Torres Strait Islander societies
Connection to community
Community can take many forms, providing opportunities for individuals and families to connect with each other, support each other and work together
Connection to culture
Provides a sense of continuity with the past and helps underpin a strong identity
Connection to Country
Helps underpin identity and a sense of belonging
Connection to spirituality and ancestors
Provides a sense of purpose and meaning
Social determinants
Socio-economic status and the impact of poverty, unemployment, housing, educational attainment, racial discrimination, exposure to violence, trauma and stressful live events and access to community resources
Historical determinants
Impact of past government policies and the extent of historical oppression and cultural displacement experienced by individuals,families and communities
Political determinants
Unresolved issues of land, control of resources, cultural security and the rights of self-determination and sovereignty which are recognised as contributing to health and wellbeing and reducing health inequities
Random sampling
Selecting participants from the population in a way that means each member of the population has an equal chance of being selected to participate in the study
Strength of random sampling
A large enough random sample is likely to be representative of the population, improving external validity
Limitations of random sampling
- Small random samples may not be representative of the population, reducing the external validity
- May be difficult, time consuming, impossible or unethical to obtain names of all members of the population
Stratified sampling
First dividing the population in subgroups and then randomly selecting participants from each subgroup in the proportion that they appear in the population
Strengths of stratified sampling
- A large enough stratified sample is likely to be representative of the population, improving external validity
- Important subgroups of a population are ensured fair representation
Limitations of stratified sampling
- May be difficult, impossible or unethical to obtain names of all members of the population
- It is more time consuming than using a random sampling technique because of the need to form subgroups and any pre-testing required
Controlled experiment
Involves experimental investigation of the relationship between one or more independent variables and a dependent variable with all other variables controlled
Strengths of controlled experiment
- Can identify a cause-and-effect relationship between an IV and DV
- Results may be generalised to the population of interest if the study is deemed to have good validity
- Can be repeated to gather more data and test the reproducibility and repeatability of results
Random allocation
Dividing a sample into groups in such a way that each participant has an equal chance of being placed into the experimental or the control group
Between-subjects design
Participants are randomly allocated to either the control or the experimental condition
Strengths of between-subjects design
- Most time-efficient as both groups can be tested at the same time and no pre-testing is required
- Lower rate of participant withdrawal because participants only complete one condition
- Better control of participant knowledge of the study and no effect of prior participant extraneous variables influencing results
Limitations of between-subjects design
- More participants needed than a within-subjects design
- Less control over the extraneous variable of participant differences between groups, may influence results in an unwanted way, lowering validity
Within-subjects design
All participants in the sample are involved in both the experimental and control conditions
Strengths of within-subjects design
- No extraneous variable of participant variables between groups, improving validity
- Fewer participants are needed than in a between subjects design
Limitations of within-subjects design
- Less control over participant knowledge of the study, extraneous variable of participant differences in the first condition may influence their behaviour while completing the second condition
- More time consuming as both conditions cannot be tested at the same time
- Higher rate of participant withdrawal from the study because the DV has to be measured multiple times
Mixed design
Combines elements of a between subjects design and a within subjects design
Strengths of mixed design
- Differences in participant variables are controlled in within subjects element
- Tests the effect of multiple independent variables on a dependent variable in one investigation
- Testing multiple independent variables in one investigation can be time and cost effective compared to completing two or more separate investigations
Limitations of mixed design
- Higher rate of participant withdrawal which can be detrimental to the internal validity
- Less control over participant knowledge of the study, prior participation in the first condition may influence their behaviour while completing the second condition
- Less control over differences in participant variables between groups in the between subject elements, lowering validity
Case study
- Investigation of a particular activity, behaviour, event or problem that contains a real or hypothetical situation and include real-world complexities
Strengths of case study
- Useful for a limited number of participants
- Used to study experiences that would be unethical or impossible to design and conduct a controlled experiment
- Provide rich qualitative data
- Act as a basis for further research
Limitations of case study
- One person or a small group of people cannot be representative of a population, results cannot be generalised to the population leading to lowered external validity
- Researcher bias may influence recording, collation and treatment of data
- May not be repeatable to gain more data or test reliability of results
- Typically time consuming
Fieldwork
Investigation involving collecting information through observing and interacting with a selected environment
Strengths of a fieldwork
- Information on sensitive topics can be obtained
- Can help to gain insight into existing data or behaviours that were not expected
- Natural settings are more likely to show behaviour that reflects real life
Limitations of a fieldwork
- Observed behaviour is subjective and open to interpretation and bias by the researcher
- Qualitative data can be difficult to summarise
- There is minimal control over extraneous variables and the results may not be replicable
Internal validity
Whether a study investigates what it sets out or claims to investigate
External validity
Whether the results of research can be applied to similar individuals in a different setting
Validity
Whether a measurement measures what it is supposed to measure