Linear snowball sampling is when the first responent recruits one more person for the survey, who in turn recruits one more person for the survey. Number of people surveyed will increase in a linear manner.
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definition of time sampling
This is a non-random sampling technique where the initial respondents to a survey recruit others for a survey. Linear snowball sampling is when the first responent recruits one more person for the survey, who in turn recruits one more person for the survey. Number of people surveyed will increase in a linear manner. The related links provide good discussion of this form of surveying. It is a non-representative sample, but it is an effective means of surveying people with common traits who might otherwise be difficult to find. For example, I want a statistical profile of people that are "hackers" so every hacker I find, I would ask if I could interview his "fellow hackers." See related links.
Snowball sampling allows for the recruitment of hard-to-reach populations, such as marginalized or hidden communities. It is particularly useful for studying groups where there is no defined sampling frame. Additionally, it can help build trust and rapport with participants as referrals come from within the community.
Snowball sampling is often used when interviewing. Instead randomly asking people about a particular topic, you would interview initially a person thought to be knowledgable about a subject and then ask them to identify additional people who could serve as usefull interviewees. You then interview those people and ask them to suggest even more people. Thus, your pool of interviewees increases over time, something akin to making a big snowball where it slowly groes as you add more snow.
Snowball sampling involves getting participants to refer others who could also take part. An advantage is that it allows you to recruit deviant groups such as drug users more easily. A disadvantage is that it may not always result in a representative sample.
When building up a demographic profile of the environmentally friendly consumer, you should use snowball sampling to ensure that all ages is represented.
This is a non-random sampling technique where the initial respondents to a survey recruit others for a survey. Linear snowball sampling is when the first responent recruits one more person for the survey, who in turn recruits one more person for the survey. Number of people surveyed will increase in a linear manner. The related links provide good discussion of this form of surveying. It is a non-representative sample, but it is an effective means of surveying people with common traits who might otherwise be difficult to find. For example, I want a statistical profile of people that are "hackers" so every hacker I find, I would ask if I could interview his "fellow hackers." See related links.
The related web sites give a good idea of the types of non-random sampling. These include snowball, convenience, quota, self-selection, diversity, expert, and others. Non-randon sampling is usually done because it is less expensive, easier, and quicker than random sampling.
linear views means views of line ;)
sampling is a process of getting information about a population by asking questions from a potion of people who belong with that population
Linear Form is a homogeneous polynomial of the first degree.
The sampling universe is the totatility of items/events from which you can select or sample for statistical analysis and description.