## Turnitin - Technology to Improve Student Writing

To get a sense of what these five types of non-probability sampling technique are, imagine that a researcher wants to understand more about the career goals of students at a single university. Let's say that the university has roughly 10,000 students. These 10,000 students are our population (* N*). Each of the 10,000 students is known as a unit (although sometimes other terms are used to describe a unit; see ). In order to select a sample (

*) of students from this population of 10,000 students, we could choose to use*

**n****quota sampling**,

**convenience sampling**,

**purposive sampling**,

**self-selection sampling**and

**snowball sampling**:

As mentioned, for researchers following a quantitative research design, non-probability sampling techniques can often be viewed as an inferior alternative to probability sampling techniques. However, where it is not possible to use probability sampling, non-probability sampling at least provides a viable alternative that can be used. As such, it ensures that research following a **quantitative research design** is not simply abandoned because **(a)** it cannot meet the **criteria** of **probability sampling** and/or **(b)** meeting such criteria is **excessively costly** or **time consuming**, such that it would not be sponsored. This could significantly diminish the potential for researchers to study certain types of population, such as those populations that are **hidden** or **hard-to-reach** (e.g., drug addicts, prostitutes), where a **list of the population** simply does not exist. Here, **snowball sampling**, a type of non-probability sampling technique, provides a solution.

## Ethical problems experienced by oncology nurses - SciELO

There are five **types** of non-probability sampling technique that you may use when doing a dissertation at the undergraduate and master's level: **quota sampling**, **convenience sampling**, **purposive sampling**, **self-selection sampling** and **snowball sampling**.