There are sampling methods that are still under the quantitative paradigm but utilize non-random sampling to collect data from samples that are either too expensive or logistically difficult to select if random sampling will be used instead. These sampling methods can be convenience, purposive, quota, and snowball sampling (Babbie, 2003:211). Convenience sampling is a non-random sampling method used when the goal is just to achieve the target sample size of

At the time of the survey, the typical class voter's interests would no doubt involve educational loans, rather than high property taxes, for example, or the quality of education from a student rather than a parent's point-of-view, and other specific interests particular to a younger, student age group, however large or randomly selected the class size. Demographically, one's class might also be relatively homogeneous ethnically, geographically within the United States,

Social Research Design Exercise 5.2 NAME: Simple Random Sample To complete this exercise, you'll need to have read about simple random sampling and how to use a table of random numbers (Babbie, pp. 220-222). Visit the website http://www.ssa.gov/oact/babynames/. In the box titled "Popular Names by Birth Year," enter the year 1900, and select the Top 100 names, then click Go. You will see lists of the 100 most popular…

Car Advertisements The automobile industry is one of the largest in the world, and one of the largest advertisers in the world. In the 20th century, and into the 21st, automobiles became the dominant force in the development of the world, giving a high degree of independence to people who previously would have had much more limited means of transportation at their disposal. That freedom proved exceptionally popular, to the point

Sampling Plan Before discussing a sampling plan, there has to be clear and unambiguous definitions of what a sample and sampling are. Despite diversity in the definition of a sample, the best meaning is that a sample could be considered as a subset of a population, with which a researcher would like to use as participants in a given research study (Landreneau & Creek, 2012). According to Deming (1990), sapling is

The ordering is based on an arbitrary scale that holds no significance besides describing it's obvious qualities. Nominal Data: Nominal data is information that is organized by name. There is no value in this type of data other than its descriptive use. Discrete Data: Discrete data is information that needs specific beginning and ending points. Certainty is a required quality of this type of data. Discrete data is information that can