Lesson 3: Sampling Plan 1. Introduction to Quantitative Sampling Sampling: Definition
Quantitative approaches Quantitative approaches Plan Lesson 3: Sampling 1. Introduction to quantitative sampling 2. Sampling error and sampling bias 3. Response rate 4. Types of "probability samples" 5. The size of the sample 6. Types of "non-probability samples" 1 2 Quantitative approaches Quantitative approaches 1. Introduction to quantitative sampling Sampling: Definition Sampling = choosing the unities (e.g. individuals, famililies, countries, texts, activities) to be investigated 3 4 Quantitative approaches Quantitative approaches Sampling: quantitative and qualitative Population and Sample "First, the term "sampling" is problematic for qualitative research, because it implies the purpose of "representing" the population sampled. Population Quantitative methods texts typically recognize only two main types of sampling: probability sampling (such as random sampling) and Sample convenience sampling." (...) any nonprobability sampling strategy is seen as "convenience sampling" and is strongly discouraged." IIIIIIIIIIIIIIII Sampling This view ignores the fact that, in qualitative research, the typical way of IIIIIIIIIIIIIIII IIIII selecting settings and individuals is neither probability sampling nor IIIII convenience sampling." IIIIIIIIIIIIIIII IIIIIIIIIIIIIIII It falls into a third category, which I will call purposeful selection; other (= «!Miniature population!») terms are purposeful sampling and criterion-based selection." IIIIIIIIIIIIIIII This is a strategy in which particular settings, persons, or activieties are selected deliberately in order to provide information that can't be gotten as well from other choices." Maxwell , Joseph A. , Qualitative research design..., 2005 , 88 5 6 Quantitative approaches Quantitative approaches Population, Sample, Sampling frame Representative sample, probability sample Population = ensemble of unities from which the sample is Representative sample = Sample that reflects the population taken in a reliable way: the sample is a «!miniature population!» Sample = part of the population that is chosen for investigation.
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