Chapter 19 Flashcards
At least four types of populations considered when preparing to collect data. (4) Broadest to smallest
Target population
Source population (sampling frame)
Sample population
Study population
Sampling bias
sample is not representative of the source as a whole
Nonrandom sampling bias occurs when
Each individual does not have an equal chance of being selected for the sample population
Simple random sampling
Each person has an equal chance of being selected
Systemic sampling
sampling starts with a random person and then everyone the nth number after that person is selected
Stratified sampling
Simple random samples selected from each of several strata
Cluster sampling
An are is divided into geographical clusters and some clusters are selected for inclusion
Cross sectional study
researchers analyze data from a population, or a representative subset, at a specific point in time.
aka prevalence study
If doing cross sectional study for a large geographic region a
cluster sample will be conducted
Convenience population
non-probability based source population selected due to ease of access to those individuals.
Usually schools, workplaces, organizations, or communities.
Berkson’s Bias
Occurs when people are sampled from hospital and therefor are more likely to have comorbid conditions
Healthy worker bias
can occur when participants are recruited from occupational populations and thus are healthier than the general population
Exclusion bias
occurs when exclusion criteria are applied unevenly or if certain subgroups are excluded for reasons that affect the study’s findings.
Participation rate is the
Percentage of member of the sample population who are included in the study population