In: Statistics and Probability
Which of the following statements are correct about a sample weighting process? Select all that apply.
A. |
Respondents are weighted in terms of their answers to the survey questions. |
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B. |
The process is to correct survey data for any possible sampling biases. |
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C. |
The sample is checked against known demographic characteristics of the adult population. |
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D. |
Respondents are weighted in terms of their demographic characteristics such as race, age and gender. |
Ans:
Option B and D are correct.
The process is to correct survey data for any possible sampling biases.
Respondents are weighted in terms of their demographic characteristics such as race, age and gender.
Weighting is a technique in survey research where the tabulation of results becomes more than a simple counting process. It can involve re-balancing the data in order to more accurately reflect the population and/or include a multiplier which projects the results to a larger universe.
At its simplest form, weighting/balancing allows you to adjust the data to account for sample bias. Sample bias occurs when your survey data (from your sample) does not accurately represent your target audience.
It is used to adjust the results of a study to bring them more in line with what is known about a population. For example, if a sample contains 40% males and the population contains 49% males weighting can be used to correct the data to correct for this discrepancy.