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Sampling
Selecting a group of people, events, behaviors, or other elements with which to conduct a study
Element (a.k.a. case)
An individual unit of a population can be a person (subject), event behaviour
Sample
Selected group of elements from which data are collected for study
Target population
Group to whom the researcher aims to generalize/transfer findings
Accessible population
The portion of the target population to which the researcher has reasonable access, (reduces cost and more feasible)
Generalizability
The degree to which data are representative of similar phenomena in a population beyond the study sample
Representativeness
Key characteristics of the sample are similar to those of the population (sample accessible population, and the target are alike in as many ways as possible)
Homogeneity
Degree to which subjects are similar (decrease generalizability)
Heterogeneity
Degree to which subjects are different (increase generalizability)
Sampling error
Difference between the values of a sample statistic and a population statistic (explains why values will differ from one sample to another drawn from the same population)
Sampling frame
A listing of every member of the population using the sampling criteria to define membership in the population (subjects are selected from this)
Sampling plan
Outline strategies used to obtain a sample for study (who, where, when, how?)
Probability (random) sampling
Every individual in the population should have an opportunity to be selected for a sample
Simple random
Element selected randomly from sampling frame
Stratified random
Used when certain variables are considered critical to representativeness
Cluster (multistage)
Elements drawn from chosen “mini representations” of the target population
Systematic
Selecting every “nth” element from a complete list of the population using a random starting point
Non-probability (non-random) sampling
Not every element in the population has an opportunity to be included in the sample
Convenience
Elements are enrolled based on availability. Researcher enrolled until desired sample size is achieved.
Quota
Similar to stratified sampling but initial sample is not random
Network (snowball)
Initial subjects are enrolled by convenience than additional subjects are identified through association
Purposive
Research or select subjects based on judgement about who will provide the most useful data to answer the research question
Theoretical
Used in grounded theory research
Power
Capacity of the study to detect actual differences or relationships. Capacity of the study to correctly reject the null hypothesis. Indicates the number of participants required to avoid a type two error in a comparative study. ( .80 minimal acceptable level.)
Affect size
A statistical expression of the magnitude of the relationship between two variables or the difference between two groups (.2 small, .5 medium, .8 large)