Sampling v. scale in the internet age: An investigation of the tension between convenience sampling, response rates, probability, and coverage
Philip GarlandSurveymonkey
Since the inception of rigorous survey work, researchers have been forced—by time and budget constraints—to rely on a slew of sampling methods to estimate population parameters. Sampling is, of course, faster and cheaper than interviewing an entire population of any size, regardless of its possible pitfalls. However, the frames have to a) have nearly 100% coverage of the population of interest and b) ensure an equal chance of selection for each member, and c) feature a reasonable...