You would, for example, go to a school and use an entire classroom of children for one group, another full classroom for the second group, etc. Another way to think of it is that you're using naturally constituted groups.
Intact sampling is a type of non-probability sampling used to produce results that can be generalised only by making very strong assumptions about the sample(s). An intact group is an already-formed group (e.g., church groups, political organisations, or - as Hendrika mentions above - classrooms of students). No selection procedure is used, but the entire group is used to represent some larger population. The validity of results from this kind of sample is determined by the process by which the group was formed. For example, a classroom with 100 undergraduates in a required introductory course is more likely to represent all university students than is a classroom that has 25 psychology doctorate students.
In addition to the previous responses , intact classes may be devoid of specific numbers of samples via random sampling techniques... Group A may vary in number of samples for Group B
Can purposive sampling and intact sampling be used together?
My research was with ex-prisoners, and I shared my selection criteria with a NGO who provided me with a list of participants based on the selection criteria and participant willingness.
The intact sampling group is the type of sampling where the group population is already formed that the researcher cannot separate or adjust, it is used to produce results that can be generalised only by making very strong assumptions about the sample/s. An intact group is an already-formed group (like a football club team, cricket team groups or established social club members. One club member cannot be removed to represent another. These members are already intact. The entire group is used to represent larger population whether homogenous or heterogenous..
Sampling is a process used in statistical analysis in which a predetermined number of observations are taken from a larger population.
When you conduct research about a group of people, it’s rarely possible to collect data from every person in that group. Instead, you select a sample. The sample is the group of individuals who will actually participate in the research.
There are two types of sampling methods:
Probability sampling involves random selection, allowing you to make strong statistical inferences about the whole group.
Non-probability sampling involves non-random selection based on convenience or other criteria, allowing you to easily collect data.
Intact sampling is a non-probability sampling technique that produces findings that can only be generalized by making extremely strong assumptions about the sample (s).