Sampling Flashcards
List of those elements from which sample is drawn.
e.g., Roster of BSW students enrolled at WVU in the Fall of 2023.
Sampling Frame
The population size divided by the sampling size (n) gives you the sampling interval (k).
e.g., If you have 1,000 people in your population, and you want a sample of 100 people… use this formula: 1,000/100 = 10 or N/n = k
N/n = k sampling interval (k) =10
If you begin sampling a list at person 200, next you select 210, 220, 230… because 10 is your _____
Sampling Interval
In general, the larger the sample size, the less error in the findings. Larger samples are more reflective of the population.
e.g., Out of 50 people, if one takes a sample of 5 vs. 45 individuals…. the sample of 45 will be much closer to the truth.
Law of Large Numbers
Cases selected for study within a defined population
Sample
Person selected for the sample
Sampling Element
You cannot generalize the findings from ____ sampling because probability theory and sampling error are not applicable.
Non probability
A probability sample where the researcher randomly selects a predetermined number of individuals from a sampling frame.
e.g., Choosing names out of a hat.
Simple Random Sampling
A probability sample where the sampling frame is separated by a characteristic (e.g., sex) that you want to ensure is represented in the sample before sampling. This ensures that every subset of the population will be represented.
Stratified Sampling
A non-probability sample of people who are available and in the judgment of the researcher, are representative.
Judgment/purposive Sampling
A non-probability sample made up of people who are available to the researcher (e.g. family members).
Convenience Sample
Tells you the sample size you need to draw, based on the sampling error you are willing to accept.
Sampling Error
After you have completed the study, use _____ to determine how close to accurate your sample is or what the real _______ is.
Sampling Error
The group from which we draw our sample.
e.g., MSW students enrolled at WVU
Population
A probability sample where one chooses every kth item. (Select 1st case at random.)
Systematic Sampling
A non-probability sample where one is referred to potential participants. It is used when members of a population are difficult to locate.
Snowball Sampling
The following theories allow us to generalize findings from probability sample.
- _____allows you to generalize your findings because it allows us to make representativeness of the population.
- _______allows us to know within a range, the true average of the population.
1 = Probability Sampling 2 = Sampling Error
