What does random sampling aim to achieve in research?Control over confounding variablesEnsuring external validityRepresentativeness of the populationIncreased the confidentiality of the study samples
Question
What does random sampling aim to achieve in research?Control over confounding variablesEnsuring external validityRepresentativeness of the populationIncreased the confidentiality of the study samples
Solution
Random sampling in research aims to achieve representativeness of the population. This method is used to select a subset of individuals from a statistical population to estimate characteristics of the whole population. By using random sampling, researchers aim to get a sample that is representative of the larger population, which in turn increases the external validity of the study. This means that the results of the study can be generalized to the larger population.
Random sampling does not directly aim to control over confounding variables. However, if the sample is truly random, it should theoretically contain a balanced mix of individuals with different characteristics, which can help to control for potential confounding variables.
Random sampling also does not directly increase the confidentiality of the study samples. Confidentiality in research is usually ensured through other means, such as anonymizing data or obtaining informed consent from participants.
Similar Questions
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.
When conducting a survey, it is important to use a random sample: to ensure truthful answers to the survey's questions. so that we can make causal conclusions. to avoid bias and to get a representative sample. to get a significant result. none of the above.
A researcher designs a study that uses a random sampling method to decrease the likelihood of bias in the study sample. This strategy was used to implement:
A form of convenience sampling in which the population elements are selected based on the researcher's discretion is called systematic samplingSelect one:TrueFalse
What is sampling? What is the importance of using samples from a population?
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