sampling techniques

A type of non probability sampling where participants in the study were tasked to recruit other members for the study

• convenience sampling

• purposive sampling

• quota sampling

• snowball sampling

A type of probability sampling where every member of the population has an equal chance of being selected. Your sampling frame should include the whole population.

• simple random sampling

• systematic sampling

• stratified sampling

• cluster sampling

A type of non probability sampling where proportion of the groups in the population were considered in the number and selection of the respondents

• convenience sampling

• purposive sampling

• quota sampling

• snowball sampling

A type of non probability sampling where the samples are chosen based on the goals of the study. They may be chosen based on their knowledge of the study being conducted or if they satisfy the traits or conditions set by the researcher

• convenience sampling

• purposive sampling

• quota sampling

• snowball sampling

A type of probability sampling that allows the researcher to draw more precise conclusions by ensuring that every subgroup is properly represented in the sample

• simple random sampling

• systematic sampling

• stratified sampling

• cluster sampling

A type of non-probability sampling where the researcher is  selecting a sample based on the availability of the member and/or proximity to the researcher

• convenience sampling

• purposive sampling

• quota sampling

• snowball sampling

A type of probability sampling where Instead of sampling individuals from each subgroup, the researcher randomly select the entire subgroups.

• simple random samping

• systematic sampling

• stratified sampling

• cluster sampling

Identify the type of sampling techniques

"The registrar gave the researcher a list of 500 Grade 11 students. The researcher selected every 5th name on the list."

• simple random sampling

• systematic sampling

• stratified sampling

• cluster sampling

A type of probability sampling where every member of the population is listed with a number, but instead of randomly generating numbers, individuals are chosen at regular intervals

• simple random sampling

• systematic sampling

• stratified sampling

• cluster sampling

Refer to the the entirety of the group including all the members that forms a set a data.

• POPULATION

• PROBABILITY SAMPLING

• SAMPLE

• NON PROBABILITY SAMPLING