Chapter 6 Vocab Flashcards
Sampling
Selection of a small number of elements from a larger defined target group of elements and expecting that the information gathered from the small group will allow judgements to be made about the larger group.
Sampling Error
Any type of bias that is attributable to mistakes in either drawing a sample or determining the sample size.
Non Sampling Error
Is bias that occurs in a research study regardless of whether a sample or census is used, such as bias caused by measurement error, response errors, or coding errors.
Probability Sampling
Each sampling unit has known probability of being included in the sample (unbiased selection, proper representation of the target population).
NonProbability Sampling
Probability of selecting each sampling unit is unknown, don’t know the sampling error.
Simple Random Sampling
Every sampling unit in defined target population has known equal change of being selected.
Systematic Random Sampling
List of sample, put in some order, select units according to skip interval.
Stratified Random Sampling (Cluster Sampling)
Divide population into groups, then sample from each group.
NonProbability Sampling Methods
Convenience Sampling
Judgement Sampling
Quota Sampling
Snowball Sampling
Convenience Sampling
Relies upon convenience and access.
Judgement Sampling
Relies upon belief that participants fit characteristics.
Quota Sampling
Emphasizes representation of specific characteristics.
Snowball Sampling
Relies on respondent referrals of others with like characteristics.
Factors to Consider in Sample Design
Research Objectives Resources Knowledge of Target Population Stat. Analysis Needs Degree of Accuracy Time Frame Research Scope
Factors that Affect Sample Size for Probability Designs
Variability of Population
Level of Confidence Desired
Degree of Precision in Estimating The Population Characteristic