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
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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
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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
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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
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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
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6
Q

How is a study’s design evaluated?

A
  • identified and recruited
  • selected
  • managed
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7
Q

Inclusion Criteria

A

-characteristics that individuals from target population must possess to be eligible for study

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8
Q

Exclusion Criteria

A

-characteristics that will make individuals ineligible for the study

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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
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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
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11
Q

Simple Random Sampling

A
  • unbiased selection of sample
  • draw names out of a hat
  • table of random numbers
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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
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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
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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
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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
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16
Q

Convenience Sampling

A
  • subjects are chosen on basis of availability
  • consecutive sampling: recruiting all patients who meet inclusion and exclusion criteria as they become available
  • volunteers
17
Q

Purposive Sampling

A

-researcher hand picks subjects on basis of specific criteria to determine if they fit study

18
Q

Snowball Sampling

A
  • subjects are successively recruited by referrals from other subjects
  • identify a few subjects who meet inclusion/exclusion criteria
  • these subjects asked to identify others who have required characteristics
19
Q

Subject Management Within the Study

A
  • assignment processes allow subjects to be divided into groups of equal size and similar characteristics
  • balanced groups are important to isolate the effect of the intervention rather than differences in group characteristics
  • assignment may be random or non random
20
Q

Random Assignment Methods: Assignment by an Individual

A
  • pull number from hat
  • may lead to unequal number in groups
  • groups without similar characteristics
21
Q

Random Assignment Methods: Block Assignment

A
  • randomly assign subjects to one group until predetermined number is attained
  • repeat for next group
22
Q

Random Assignment Methods: Systematic Assignement

A
  • use list of subjects

- repeatedly count off group numbers

23
Q

Random Assignment Methods: Matched Assignment

A
  • divide subjects into subgroups based on characteristics

- assign each member of subgroup to study group

24
Q

Nonrandom Assignment

A
  • subjects are often members of preexisting gropus of interest OR
  • investigators determine which subject goes into which group
  • commonly seen in retrospective studies
  • group assignment determined by presence or absence of characteristic of interest
  • statistical analysis tests are used to adjust for variation due to nonrandom assignment
25
Q

Other SUbject Managment Issues

A
  • standard protocols for processing subjects within a study: scripts for instructions provided to subjects, specific sequence in testing methods
  • control of subjects normal daily routines: avoid changing daily routines
  • masking or blinding subjects to group assignment: avoid changes in behavior due to expectation
  • masking or blinding investigators to subject’s group assignment: avoid changes in investigator behavior toward group members
26
Q

Sample Size

A
  • number of subjects needed to insure statistical differences may be detected
  • power is the probability that a statistical test will identify a relationship or difference
  • insufficient sample size may lead to false negative findings or a type II error
  • accurate power calculations provide the minimum number of subjects needed