Researchers randomly choose participants from a population. All population members have an equal probability of being selected. This method tends to produce representative, unbiased samples.
Obtaining a representative sample from a population that researchers have divided into relatively similar subpopulations. Researchers use stratified sampling to ensure specific subgroups are present in their sample.
A non-probability sampling method where new units are recruited by other units to form part of the sample. Snowball sampling can be a useful way to conduct research about people with specific traits who might otherwise be difficult to identify.
Researchers select members of the population at a regular interval (or k) determined in advance. If the population order is random or random-like (e.g., alphabetical), then this method will give you a representative sample that can be used to draw conclusions about your population of interest.
Relies on the non-random selection of a predetermined number or proportion of units. You first divide the population into mutually exclusive subgroups (called strata) and then recruit sample units until you reach your quota. These units share specific characteristics, determined by you prior to forming your strata.
Take place in controlledenvironments e.g. Bandura's Bobo doll experiment (ecological validity, operationalising concepts, independent, dependent, extraneous variables, hypothesis, Hawthorne effect)
Take place in real-life settings e.g. Rosenthal and Jacobs (study showed that children's performance was enhanced if teachers were led to expect enhanced performance from children. By the same token, if teachers were led to expect lower performance from children, then the children's performance would be diminished.)