Nonprobability Sampling Techniques in Qualitative Research Quiz

Nonprobability Sampling Techniques in Qualitative Research

• Qualitative researchers use sampling choices to deepen understanding of phenomenon they are studying.
• Nonprobability samples are used in qualitative research for in-depth, idiographic understanding.
• Researchers use nonprobability samples to contribute to social theories by seeking out anomalous cases.
• Nonprobability samples are useful for setting up, framing, or beginning research.
• Nonprobability sampling techniques are for selecting research elements with unknown likelihood of selection.
• Purposive sampling is used to examine specific perspectives and include participants who represent a broad range of perspectives.
• Snowball sampling is used to identify study participants, especially for stigmatized groups or rare populations.
• Quota sampling identifies subgroups and selects a predetermined number of elements from each subgroup.
• Quota sampling offers the strength of accounting for potentially relevant variation across study elements.
• Convenience sampling is used to collect data from elements that happen to be convenient, often used in exploratory research.
• Convenience samples offer convenience, but caution should be taken when generalizing from them.
• Nonprobability samples do not represent a larger population but are not drawn arbitrarily or without specific purpose in mind.