SOC110 Flashcards
final (123 cards)
What is the target population?
A cluster of people you are the most interested in.
It needs to be chosen scientifically
If too broad it will be difficult to have a representative sampling, and if too specific it will be difficult to find enough participants
What is the accessible population?
The accessible population is the group that a researcher can actually measure
Accessibility depends on the context of the research and the researcher’s resources; there is always a group inside the target pop. that is more accessible
Even in the accessible pop. not everyone will accept to participate to the study.
What is a sample?
A subset of the accessible pop.
The individuals who actually take part in research
Group from whom we gather data
*Sometimes, the subgroup does not benefit from the research results
In the eligible sample, what are inclusion criteria?
Guidelines about who can participate
- It ensures coherence of the sample with the research topic
-scientifically supported
In the eligible sample, what are the exclusion criteria?
Guidelines about who cannot participate
-ethical considerations
-reduce the gathering of unrelevant data
Give an example of inclusion and exclusion criteria with research about the effects of music on homeless people who have a substance abuse problem
Inclusion:
-experience problematic substance use
-experience homelessness
-Having been exposed to music at least once a week in the last 12 months
Exclusion:
-Experience psychotic, non-stable symptoms
-State of intoxication at the moment of research interview
-Experience music anhedonia
What can you do to make sure that people respect your eligibility criteria?
You can develop an eligibility questionnaire or use a questionnaire that was already done previously for things that are often studied, like substance use.
What is sampling?
Sampling is the process of selecting observations that will be analyzed for research purposes
sampling is the strategy to select the right sample and unit of observation. In human sciences it is often individuals or groups of individuals
sampling is about how you will reach out the accessible pop and how will you form the sample
It can be probabilistic or non-probabilistic
What are the characteristics of probabilistic sampling techniques?
Representativity: resembles the target pop. eg: a phenomenon is experienced by 70% women and 30% men, then you will have those numbers in the study
Generalizability: Results apply to the target pop. eg: rare things that are not experience by the target pop. should not be overseen in the sample.
Radom selection: Equal chances of being invited to take part in a study. eg: more coherent with quantitative study
Name the 4 probabilistic sampling techniques and exlpain them briefly
simple radom : Researcher randomly selects elements from sampling frame
systematic : researcher selects every xth element from sampling frame
stratified: Researcher creates subgroups then randomly select elements from each group
cluster: Researcher randomly selects clusters then randomly selects elements from selected clusters
Explain this probabilistic sampling technique: Systematic sampling
- Develop a sampling frame: list all members of the accessible pop.
- Randomly select individuals: using a systematic strategy. Every Xth person on the list. So, it is the same as the simple random technique, but you have an interval between every participants. So, you start by randomly choosing the starting point and then every “x” number for every participant. eg: you need 15 participants from the 100, so every 6 participants you take that person
comment: good for small scale research
Explain this probabilistic sampling technique: Simple random sample
- Develop a sampling frame: list all members of the accessible pop.
- Number potential participants
- Randomly select individuals: random number table, so you randomly select the first number and you go on
Limitation: Difficult to apply because it requires you to know every possible participant, so it it not feasible for big sample but it can be achieve with a smaller sample eg: Bishops teacher
comment: this technique is simple to understand, but hard to do. So it is rare to see it in research
Explain this probabilistic sampling technique: Stratefied sampling
- Divide the accessible pop in subgroups
- Draw a sample for each subgroup: either by random sample strategy or by systematic sampling strategy
comment: It is a good strategy if you want people with some characteristics represented eg: separate men, women, non-binary, and agender. This technique makes sure that you have minorities in your research, which can not always be the case in random strategies
Explain this probabilistic sampling technique: Cluster sampling
- Divide the accessible pop in subgroups: subgroups have the same characteristics like living in Sherbrooke
- Select random subgroups
- Sample all members of the selected subgroups
Comment: This technique is useful when you do not have access to all the information about the potential pop.
The sample might be heterogenous since participants might be more different from one another.
This technique is use for larger pop.
What are the strengths and limitations of probabilistic sampling techniques?
Strengths:
-Representative samples
-Generalizability of the research results
-Less likely to be biased
Limitations:
-Resources needed may limit its feasibility (time, costs)
-Requires a high level of skill and experience, so it is best accomplished by an experienced research team
-May not represent minority groups
What are the characteristics of non-probabilistic sampling techniques?
Used to…
-Describe, explore or examine small groups
-Explore a phenomenon that is unknown/misunderstood
-Understand the perspective of particular individuals
-Develop an in-depth understanding of a phenomenon
Comment:
-The sampling is not based on statistical techniques
-mostly used in qualitative techniques
-you recruit people by identifying how you can reach people
-Made to recruit people with a very specific “condition” that would be difficult to find in the general pop.
Name the 4 non-probabilistic sampling techniques
Purposive sampling
Quota sampling
Convenience sampling
Snowball
Explain this non-probabilistic sampling technique: Purposive sampling
- Identify the perspectives sought regarding the topic of interest: and what is the angle that you want to talk about the topic
- Identify diversification criteria: e.g., mental health problems, find people who were hospitalized in mental health facilities or hospitals, age range, gender, etc.; once you develop different characteristics, you need to find people.
- Seek individuals who respect those criteria and who can discuss these perspectives
Comment: this technique helps have a diverse perspective regarding the topic of interest
Explain this non-probabilistic sampling technique: Snowball sampling
Rely on initial participants to identify potential participants
Comments :
Useful to study stigmatized, hard to reach and socially excluded groups
Useful to reach groups unfamiliar to the researcher or new researcher
Explain this non-probabilistic sampling technique: Quota sampling
- Identify categories important to the study: eg: sex or gender
- Subgroups are created based on each category: eg: gender = subgroups of men, women and non-binary
- Select individuals from each subgroup
Comment:
- the number of participants that we want from each subgroup is called quota
-Selection of participants is not random and it is not representative of the general pop.
What can influence the selection of research participants? Sampling biaises
Access to invitation to take part in research: the sample will be influence by where and who can see the study eg: where is the poster, who will be able to reach the poster, if it is by internet older people might not be able to reach it
Recruitment strategies: Participants might have similar interests and similar ways of thinking
Personal interest from the participants in a research topic: often people who participate are truly interested and might taint the results
What are the strengths and limitations of non-probabilistic techniques?
Strengths:
-Fast and simple: it can be used by newer researcher
-Inexpensive
-Targets people with specific experience: which ensures that the participants have something to say about the research
Limitations:
-More at risk of sampling biaises
-Lack of representativity with the target population: people do not have the same chances to be part of the study which makes it possible that it is not generalizable to the general population
-Results cannot be generalized to the target population
Comment: these techniques are more used in qualitative research
Explain this non-probabilistic sampling technique: Convenience sampling (quantitative and qualitative)
Select individuals who are easily accessible: physical proximity, availability of the researcher, available resources
Comment: journalists use this strategy.
Useful in exploratory research: it takes less time to prepare and it is always a feasible strategy
What is a Survey?
The most use data collection tool
Quantitative method and sometimes qualitative
It has predetermined questions: -that are developed in advance with predetermined answers
-close-ended questions
-printed or online, so the survey can be done in person or online
Self-reported information: the participants answer the questions without the researcher’s interference.