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What is the importance of random sampling in survey research? Question 11Answera.To ensure that survey results accurately reflect the population as a whole without introducing systematic bias.b.To ascertain the level of truthfulness and accuracy subjects use in answering survey questions.c.To ensure that the demographic and demand characteristics of the population to be studied are represented.d.To limit the amount of respondents to a manageable sample size so correlational research is possible.

Question

What is the importance of random sampling in survey research? Question 11Answera.To ensure that survey results accurately reflect the population as a whole without introducing systematic bias.b.To ascertain the level of truthfulness and accuracy subjects use in answering survey questions.c.To ensure that the demographic and demand characteristics of the population to be studied are represented.d.To limit the amount of respondents to a manageable sample size so correlational research is possible.

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Solution

Random sampling plays a crucial role in survey research for several reasons:

a. Ensuring accurate reflection of the population: Random sampling helps to ensure that the survey results accurately reflect the population as a whole without introducing systematic bias. This is because each member of the population has an equal chance of being selected, which reduces the likelihood of bias.

b. Ascertain truthfulness and accuracy: While random sampling may not directly ascertain the level of truthfulness and accuracy subjects use in answering survey questions, it does help to provide a more accurate representation of the population. This can indirectly contribute to the accuracy of responses.

c. Representing demographic and demand characteristics: Random sampling ensures that the demographic and demand characteristics of the population to be studied are represented. This is important in ensuring that the sample is representative of the population, which in turn increases the validity of the survey results.

d. Managing sample size: Random sampling can also help to limit the amount of respondents to a manageable sample size so correlational research is possible. This is because it allows researchers to get a snapshot of the population without having to survey every single individual, which can be time-consuming and costly.

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