Sampling Essentials: Practical Guidelines for Making Sampling Choices
By Johnnie Daniel. 2011
662 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/e3f39273ad4e247e4c69a8b1a4d5becb896fdd13
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In Statistics and Probability
Citations in the corpus
- Trust in principals, leaders’ focus on instruction, teacher collaboration, and teacher self-efficacy: testing a multilevel mediation model (2020, methodology): “In this study, we used proportionate stratified sampling (Daniel, 2012), a useful strategy when the population involves various subgroups.”
- Sampling in software engineering research: a critical review and guidelines (2020, background): “In sampling and statistics more generally, however, random means that each item in the population has an equal probability of selection (Daniel, 2011).”
- Adoption of e-government services in Turkey (2017, background): “Purposive sampling or confirmatory sampling is a non-probability sampling method where participants are selected based on their consistency with the purpose of the research (Daniel, 2011).”