Research Subjects Flashcards
1
Q
Population and Samples
A
- population: the larger group to which the results are generalized
- accessible population: potential participants within target population that is accessible to the investigators
- sample: subgroup of accessible population; serves as a reference group for drawing conclusions about the population
- target population: overall group to which the research to intends to generalize the study
2
Q
Subjects
A
- subset of accessible population
- group of subjects is called a sample
- primary data collected from subjects in real-time
- secondary data is collected during routine business or a prior research activity
- not restricted to humans
3
Q
Sample
A
- assume that the response of the sample members represents how the population would respond in similar circumstances
- heterogenous: presence of variations (physical, behavioral, psychological)
- a good sample reflects the variations of the population in same proportions they exist within the population
4
Q
Sampling Bias
A
- when individuals selected for a sample over-represent or under-represent certain population attributes related to the phenomenon under study
- conscious or unconscious
- methods of sampling are needed to make unbiased sample selections
5
Q
Samples and Validity of the Study
A
- a valid study is one that finds the truth
- 2 components
- external validity: the degree to which results of the study can generalize to individuals or settings outside the sample
- internal validity: refers to the adequacy of the study design, degree of control used when gathering the data
6
Q
How is a study’s design evaluated?
A
- identified and recruited
- selected
- managed
7
Q
Inclusion Criteria
A
-characteristics that individuals from target population must possess to be eligible for study
8
Q
Exclusion Criteria
A
-characteristics that will make individuals ineligible for the study
9
Q
Subject Selection
A
- recruitment will depend on definition of accessible population, cost, and requirements
- once potential subjects are identified a selection process must be identified
- common selection methods are categorized as probabilistic or nonprobabilistic
10
Q
Probabilistic Sampling Methods
A
- method for randomly selecting subjects for participation in a study
- every individual in population has equal chance of being chosen
- every individual has equal chance of having some of the characteristics that are present throughout the population
- minimize sampling error as well as bias
- sample is considered representative of population
- types: simple random sample, systematic sampling, stratified random sampling, cluster sampling
11
Q
Simple Random Sampling
A
- unbiased selection of sample
- draw names out of a hat
- table of random numbers
12
Q
Systematic Sampling
A
- used when accessible population is not or cannot be numbered in a list
- divide total number of individuals in accessible population by number to be selected
- 1000 in accessible population and 100 to be selected so divide 1000 by 100 get 10 and select every 10th individual in accessible population
13
Q
Stratified Sampling
A
- stratification is process of grouping individuals in population into groups based on characteristic
- sub-groups
- want to sample 100 so divide by male and female and sample 50 of each
14
Q
Cluster Sampling
A
- method to get random sampling when population is large
- divide population into large subgroups or clusters
- then randomly select sample from each of the subgroups
15
Q
Nonprobabilistic Sampling Methods
A
- used when it is difficult to obtain a true random sample
- subjects selected without randomization
- easier to implement, lower cost, greater sampling error and potential bias
- types: convenience sample, snowball sampling, purposive sampling