1) What is a sample? a) A large, random group used for research b) A small, manageable group selected from a larger population to represent it during research or analysis c) The entire population being studied d) The conclusion of a research study 2) What are the two main categories of sampling techniques? a) Judgmental and snowball sampling b) Simple random and stratified sampling c) Probability and non-probability sampling d) Systematic and cluster sampling 3) What is a key difference between probability and non-probability sampling? a) Probability sampling is based on convenience, while non-probability sampling is random. b) Probability sampling ensures every member has an equal chance of selection, while non-probability sampling does not. c) Probability sampling is only used in quantitative research, while non-probability sampling is only used in qualitative research. d) Probability sampling is a newer technique than non-probability sampling. 4) Which type of probability sampling involves dividing a population into groups called "strata" based on shared characteristics? a) Simple random sampling b) Stratified random sampling c) Systematic random sampling d) Cluster/area sampling 5) What is the primary characteristic of snowball sampling? a) Participants are selected at fixed intervals from a list. b) The population is divided into subgroups, and a specific number of individuals are chosen from each. c) The researcher uses their own professional judgment to select participants. d) The sample grows as initial participants refer others to the study. 6) In the context of sampling, what is a "cluster"? a) A group of individuals with the same characteristics, like gender or age b) The starting point for systematic random sampling c) A randomly selected group or subgroup from a population, such as all high schools in a territory  d) The final number of participants in a study 7) In simple random sampling, what is the key principle for selecting a sample? a) The researcher uses their judgment to select participants. b) Every unit in the population has an equal chance of being selected. c) The sample is made up of individuals who are easiest to reach. d) Participants refer other people to the study. 8) What is the primary characteristic of quota sampling? a) The sample is selected based on a fixed interval. b) Participants are referred by other participants. c) A specific number of individuals are chosen from subgroups with a particular characteristic. d) The researcher uses their personal judgment to select the sample.

SAMPLING COM STUDIES

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