A survey can either be administered as a census survey where every member of the appropriate population is surveyed, or a sample can be selected.

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Task 1

Surveys

A survey can either be administered as a census survey where every member of the appropriate population is surveyed, or a sample can be selected. A census survey gives you the most information and the most accurate picture of the population as a whole. When a population to be surveyed is small, census surveys are often recommended. When larger populations are considered, however, a census survey is sometimes not feasible because of cost and time constraints. When this is the case, there are several types of sampling that can be used to make inferences about the population you sample from.

Simple Random Sample

When the population is homogeneous, (e.g., all business executives from large accounting firms) a simple random sample is adequate. This means that during the selection process, each element of the population has an equal chance of being chosen. It is analogous to pulling names or numbers out of a hat.

Systematic Sampling

Another option is to select the sample systematically. This simply means the population number is divided by the number of people needed for the sample. For example, if there were 800 people in the population and you wanted to survey 200 people, as 800 divided by 200 is four, take the total population list, begin at any point and select every fourth member until reaching 200. This sampling method is only appropriate when a comprehensive database of the population is available.

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Stratified Sample

An alternative to random and systematic sampling is stratified sampling which requires dividing the population into sub-groups before sampling. These sub-groups are based on certain characteristics relevant to your questionnaire (e.g., age, income, education, or gender) and each is referred to as a stratum. The collective group is the strata.

Stratifying continues by dividing each stratum into more sub-groups until the strata accurately reflect the population. Random samples are then drawn from each stratum. Each sample size should reflect the stratum's size in the overall population

Qualitative Research

Sampling

Qualitative research does not generate statistical information and ...

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