CMNS 260 Lecture Notes - Lecture 7: Simple Random Sample, Stratified Sampling, Sampling Frame

• School: Simon Fraser University
• Department: Communication
• Course: CMNS 260
• Professor: Chris Jeschelnik

Document Summary

Speed, cost, accuracy, knowledge of target population, access to sampling frame, etc. influence choice of sampling technique. Simple random sampling type of probability sampling in which units composing a population are assigned numbers. A set of random numbers is generated, and the units having those numbers are included in the sample (page 159) Everyone should have an equal chance of being chosen. Disadvantages: hard to achieve in practice, requires accurate sampling frame that represents whole population; this may not be accessible or unavailable, preparation of sampling frame may be too expensive, be prepared for critiques. Systematic sampling type of probability sapling in which every kth unit in a list is selected for inclusion in the sample; k is called the sampling interval (page 160) Sampling interval the standard distance (k) between elements selected from a population for a sample (page 157) Sampling ratio the proportion of elements in the population that are selected to be in a sample (page.