Unformatted text preview: eded. Best Use: early stages of research, seeking ideas or
insights, realization by the researcher of its limitations. Most Hazardous: used in descriptive or BMKT 312 Sampling 1 Study Guide . 3 causal studies and its limitations are overlooked. Examples include hiring panelists who are
knowledgeable about the issue at hand rather than selecting them at random
Quota Sample: Sample chosen so that the proportion of sample elements with certain characteristics
is about the same as the proportion of the elements with those characteristics in the target
population. Stated more simply, certain important characteristics of the population are represented
proportionately in the sample.
Research Problem: Investigate 100 undergraduate student attitudes toward the new Campus
Known Population Parameters: Class (30% Fr, 20% So, 30% Jr, 20% Sr) and Sex (50% F,
Approach: If the characteristics of sex and class need to be represented, then100 respondents
will be used in the study as follows: 15 Fr women, 15 Fr men, 10 So women, 10 So men, 15
Jr women, 15 Jr men, 10 Sr women, and 10 Sr men.
Simple Random Sampling: Each unit included in the population has a known and equal chance of
being included in the sample. Such samples are typically drawn by a computer or from a physical
list using a random number table. Important note: Walking down the street and passing out surveys
to unknown people “at random” is “random” in the everyday sense, but not random in a scientific
Systematic Sample: Sample in which every ith element in the population is selected for the sample
pool after a random start. i = Number in the sampling frame/Total sampling elements
Stratified Sampling: Sample in which (a) the population is divided into mutually exclusive and
exhaustive subsets and (b) a simple random sample of elements is chosen independently from each
group/subset. This approach is most appropriate when subsets (or strata) are homogeneous within
but heterogeneous between with...
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- Fall '13