1. Your target population is the group you want to know more about. Target population is an informal term used mostly in epidemiology. It's general defined to mean a group or set of elements that you want to know more information about. Most of the time, “target population” and “population” are synonymous.
2. Include all individuals in the target population.
Exclude all individuals not in the target population.
Includes accurate information that can be used to contact selected individuals.
3. A good maximum sample size is usually 10% as long as it does not exceed 1000. A good maximum sample size is usually around 10% of the population, as long as this does not exceed 1000. For example, in a population of 5000, 10% would be 500.
4. We could choose a sampling method based on whether we want to account for sampling bias; a random sampling method is often preferred over a non-random method for this reason. Random sampling examples include: simple, systematic, stratified, and cluster sampling.
5. List the research goals (usually some combination of accuracy, precision, and/or cost).
Identify potential sampling methods that might effectively achieve those goals.
Test the ability of each method to achieve each goal.
Answers & Comments
Answer:
1. Your target population is the group you want to know more about. Target population is an informal term used mostly in epidemiology. It's general defined to mean a group or set of elements that you want to know more information about. Most of the time, “target population” and “population” are synonymous.
2. Include all individuals in the target population.
Exclude all individuals not in the target population.
Includes accurate information that can be used to contact selected individuals.
3. A good maximum sample size is usually 10% as long as it does not exceed 1000. A good maximum sample size is usually around 10% of the population, as long as this does not exceed 1000. For example, in a population of 5000, 10% would be 500.
4. We could choose a sampling method based on whether we want to account for sampling bias; a random sampling method is often preferred over a non-random method for this reason. Random sampling examples include: simple, systematic, stratified, and cluster sampling.
5. List the research goals (usually some combination of accuracy, precision, and/or cost).
Identify potential sampling methods that might effectively achieve those goals.
Test the ability of each method to achieve each goal.
Explanation:
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