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.