Overview of Sampling
Sampling Elements
Probability Sampling Techniques
Nonprobability Sampling Techniques
100

In research, this term refers to the process of selecting participants for a study.

Sampling

100

This term refer to the basic unit that define the study population.

Element.
100

This technique makes probability sampling the most rigorous category.

Random selection

100

This sampling technique is when there is a convenient access to a population, but carries a high risk of sampling bias.

Convenient sampling.

200

The goal of any sampling technique is to maximize the ____ of the sample to the population.

Generalizability

200

This term refers to a formal list of units or elements that make up the population from which a sample is drawn in research studies.

Sampling Frame

200

This term refers to a variable that has an undue influence on the analytic outcome of a study.

Confounding variables.

200

This sampling technique selects individuals who meet pre-established criteria for inclusion in the sample and is often used when the research question requires a specific type of participants.

Purposive sampling.

300

What term refers to the defined segment of people being targeted by a study?

Population

300

This bias yields inaccurate results that are not generalizable because of imperfect sampling.

Sampling Bias

300

This sampling technique selects every "nth" element from a sampling frame after selecting one element at randome.

Systematic random sampling.
300

This two-stage sampling design allows researchers to access hard-to-reach populations by first identifying potential venues and then systematically recruiting participants from those venues.

Venue-based-timing sampling.

400

Sampling methods can be divided into these two main categories.

Probability Methods and Nonprobability Methods.

400

This process involves making inferences about an entire population based on a sample.

Extrapolation

400

This sampling technique divides the sampling frame intro mutually exclusive strata before selecting a sample from each stratum.

Stratified random sampling.

400

This sampling method combines network-based methods with statistical validity and involves recruiting initial respondents who then distribute coupons to their peers for recruitment into the study.

Respondent-driven sampling.

500

This category of sampling method is often weaker in generalizability.

Nonprobability methods

500

What is the overarching goal of the selection process in sampling?

Maximizing the representativeness of the sample with respect to the population.

500

Unlike simple random sampling, this technique does not ensure that every element has an equal and nonzero probability of being selected.

Systematic random sampling

500

This phenomenon, observed in snowball sampling, occurs when individuals recruit others who resemble them in certain characteristics, potentially introducing bias into the sample

Homophily.