Snowball sampling is when you choose one participant and ask them to ask their friends to take part too. This can be used when you're researching a group that's quite hard to get
access to, for example, criminals.
Monday, 7 March 2016
30 Marker Practice
As
an A Level student, you have been asked to design a research project
to collect qualitative data on the way of life of young homeless
people in your area. (30 marks)
Before
beginning my research, I would do some secondary research into young
homeless people in the Poole and Bournemouth area. Due to people
under 18 often being able to go into social care or hostels, it is
difficult to find homeless people under the age of 18. Therefore my
research would class young people as those aged 18 to 25. My
secondary research would help me to gain a better understanding of
the topic which would benefit my project.
Operationalisation
is key, so I will operationalise 'way of life' by looking into the
norms, values, beliefs and daily routines of my participants. This
would be more valid because I would be gaining an in-depth look at
how young homeless people go about their daily lives. My participants
may also show the Hawthorne Effect, so this would have to be
considered and taken into account when my results are collected. The
results also may not be reliable due to issues with consistency, so I
would not be able to generalise my data. Each participant would be
different so representativeness would also be an issue. All of this
would be taken into account when looking at the results of my
project.
My
target population will be young homeless people in Poole and
Bournemouth. I won't be able to create a sampling frame, which is a
drawback of being an A Level student. Due to this, the best sampling
method would be Snowball sampling. This is when you find one
participant and ask them to ask people they know to be part of your
research. This way, you can find more people from the same sort of
population, in this case, homeless people. A drawback of this is that
my sample is likely not to be representative because all my
participants know each other, however due to this research being
qualitative, it is more important to gain in-depth research than
representative research.
I
would be using unstructured interviews to gain qualitative data. This
is when I have a rough ida of what my interview aims to find out, but
my questions aren't planned which allows me to ask questions relevant
to the information the participant gives me. This method is good
because it would allow me to get lots of information in a way that
allows the participant to be understood clearly and allows me to
collect relevant data. This method also means that my participants
are able to fully explain their way of life and their experiences,
and I’m able to fully understand them. However, a drawback of this
method is that it's unlikely any of my interviews will ave the same
sort of outcome, making it difficult to compare my results and to
categorise them. This makes the research less reliable and
inconsistent.
I
would carry out a pilot study in order to make sure my interviews are
easy to understand and to complete, and to make sure I am able to
collect relevant data for my aim. I would use opportunity sampling
due to being a student and having little money. I would ask a
homeless person a series of questions to check if they are easy to
understand and answer.
I
would need to consider ethical issues such as consent, privacy,
confidentiality and withdrawal. I would make sure all my participants
are happy to take part and also that they are aware of their options
when it comes to privacy and confidentiality. They would be given the
option to remain anonymous. I also need to consider sensitivity, due
to some areas of my research potentially being upsetting for my
participants. Therefore I would make sure all my questions are worded
in a way which stops them from being upsetting, and that my
participants are given the option to say that they don't want to
answer a question if they feel its too personal or invasive. Due to
the sensitivity of the research, the results may not be valid.
A
practical issue I may face is time. Due to my use of unstructured
interviews, my research is likely to be time consuming which means I
can spend less time interviewing extra participants. This will impact
the representativeness of my results. However, due to Bournemouth and
Poole being busy areas, there is a higher concentration of homeless
people, who may be willing to take part in my research. This will
save me time as I won't have to be looking for more participants.
Once
I have completed my research, I will look at my notes from each
interview in order to see any similarities or trends in the way of
life of my participants. This would be seen through their answers
regarding their norms, values, beliefs and routines.
My
research would be interpretivist, due to the fact that way of life
can't be measured. The fact that this data must be interpreted means
it will be more valid.
Positivists
would state that this research would be unreliable due to being
subjective and inconsistent. Also, because the sample would be small,
it lacks generalisability.
After
all of this, I would draw a conclusion from my research which would
outline the way of life of young homeless people in the Poole and
Bournemouth area.
Monday, 1 February 2016
Research Methods - Stratified Sampling
Stratified sampling is a method used in order to get a completely representative sample. This is done by giving everyone an equal chance of being picked, but within categories. For example, if you were trying to research a class's attitude towards sociology, but the class consisted of 12 girls and 6 boys, there's more of a chance that if everyone's names were put into a hat that more girls would be picked, and therefore the boys would be under-represented. To solve this, researchers use stratified sampling, which involves controlling the factors and picking a sample which represents the target population fairly, whilst the target population is split into groups.
Labels:
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simple,
stratified,
to,
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Research Methods - Systematic Sampling
Systematic sampling is when you choose every nth person. This is used in order to achieve a random sample with a variety of different people. This also manages to cover larger areas without having to ask everyone. For example, if you wanted to know the general attitude towards youth crime in a specific town, you could choose every 5th person off a council register of residents, which would help to get a wider opinion without having to ask as many people.
Labels:
diagram,
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Research Methods - Opportunity Sampling
Opportunity sampling is when the researcher uses people who just happen to be there at the time that the sample is being made. For example, if you wanted to look at students lunch habits, you could go to the college café and observe people who happened to be there eating at the time.
Research Methods - Random Sampling
A random sample is one where everyone has an equal chance of being picked. For example, putting everyone's name into a hat would be a random sample as they all have an equal chance of being picked. This method is regarded as representative because it assumes that everyone has an equal chance to be picked,however, it can sometimes be considered as not being representative due to the possibility of picking people who have similar characteristics, when you are, in fact, looking for a random sample.
Research Methods - Sampling Methods
There are 8 main sampling methods covered in the WJEC Sociology syllabus. They are listed below.
Random Sampling
Opportunity Sampling
Systematic Sampling
Quota Sampling
Cluster Sampling
Volunteer Sampling
Snowball Sampling
Random Sampling
Opportunity Sampling
Systematic Sampling
Quota Sampling
Cluster Sampling
Volunteer Sampling
Snowball Sampling
Stratified Sampling
Tuesday, 19 January 2016
Functionalist Crime Theorists
- Durkheim (Anomie, Crime is Inevitable & Functional)
- Merton (Strain Theory)
- Hirschi (Social Bonds Theory)
- Erikson (The Publicity Function)
- Albert Cohen (Safety Valves)
- Matza (Drifting)
- Miller (The Structural Origins of Crime, and the Cultural Causes)
Durkheim - Crime
Durkheim - Functionalist
Durkheim believes that society is held together by shared values. However, not everyone in society adheres to these collective sentiments. An example of this would be someone who chooses a job that earns little money purely because they'll enjoy it - they are breaking social norms because in western culture, it is seen as important to have material wealth, which is harder to have if you have a low paying job.
If there is a period where several people seem to lose their norms and values, this can be referred to as 'anomie'. An example of anomie would be the London Riots in 2011. People who were normally law abiding citizens were suddenly seen looting shops and vandalising property, purely because society had completely lost it's norms and no one knew how to react to this.
Durkheim also spoke about how crime is inevitable and functional. He argues that crime is inevitable due to something which he called the 'Society of Saints'. This is when even in a society where everyone is a 'saint' something will still be considered deviant. For example, in a classroom where everyone is shouting, someone whispering wouldn't be seen as deviant, whereas in a classroom which was silent, someone whispering would be seen as the deviant individual in that situation. He also argues that crime is functional because it helps to create social change. For example, homosexuality used to be illegal, but because so many people committed he 'crime' it became normal and as a result, society accepted it.
He also states that crime creates social cohesion, for example, crimes against children are widely seen as unacceptable, and people unite over their opinions.
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