Chapter 10 - Sampling & Data Collection in Quantitative Studies Flashcards
What is the population?
The entire group of interest
The collection of elements/cases in which a researcher is interested in
What is a sample?
a section of a portion of the population to represent the entire population
A subset of population elements→ elements are usually humans
What is eligibility criteria? Inclusion vs. exclusion criteria
specific characteristics to define the population
Inclusion criteria: characteristics that make one a member of the population
Exclusion criteria: characteristics that cause one to be excluded from population
Target population
the entire population in which a researcher is interested (ex. all diabetics in the US)
Accessible population
portion of the target population that is accessible to the researcher (ex. all diabetics at one hospital)
Strata
mutually exclusive segments of a population based on specific characteristics
(Ex. RNs in the UK can be separated by GENDER, Years of experience)
–> Strata are often used in sample selection to enhance the samples representativeness
Representative Sample
one whose characteristics closely approximate those of the population
Sampling Bias
systematic overrepresentation or underrepresentation of some segment of the population in terms of key characteristics when the sample is not representative
–>can be risky to apply it to the population because it could be very incorrect
A representative sample is most easily achieved with… (3 things)
- Probability sampling – sampling at random
- Homogenous populations – more alike than different
- Larger samples – people in sample are more likely to have the characteristics you are looking for
Nonprobability Sampling
researchers select elements by nonrandom methods in which every element usually does not have a chance to be included
- rarely produce representative samples
- MOST research samples in nursing are nonprobability
Convenience Sampling
selecting the most conveniently available people as participants
-problem: atypical population, bias –> weakest form of sampling
Quota Sampling
identify population strata and figure out how many people are needed from each stratum –> ensures diverse segments are accurately represented
-participants are a “convenience sample” from each stratum
Consecutive Sampling
recruiting ALL people from an accessible population over a specific time interval or for a specified sample size
- longer sample time = less bias due to seasonal fluctuations
- best choice when their is “rolling enrollment” in population
–>ex. ICU patients admitted over 6 months, or the first 250 patients
Purposive Sampling
based on the belief that researchers’ knowledge about he population can be used to hand-pick sample members
- can lead to bias (based on purposeful judgement of the researcher)
- useful when you want a sample of experts
- mostly qualitative
Probability Sampling
involves random selection of elements form a population - all elements have equal chance of being selected
- random sampling
- only viable method of obtaining representative samples, can easily estimate sampling errors (ex. average age of population) and sample values (ex. average age of the sample)
- often impractical
Random Sampling
- used on probability sampling
- ->each element in the population has an equal, independent chance of being selected