Management Notes

Reference Notes for Management

Why is choosing a random sample an effective way to select participants?

Why is choosing a random sample an effective way to select participants?

  1. Participants do not know they are part of a study
  2. The researcher has no control over who is in the study
  3. It is larger than an ordinary sample
  4. Everyone has the same chance of being part of the study

Answer: d.  Everyone has the same chance of being part of the study

Answer Explanation

Choosing a random sample is an effective way of selecting participants because it ensures that each individual in the target population will have an equal and unbiased chance of being included in the study. The correct answer is “d. Everyone has the same chance of being part of the study.” A random sample minimizes bias and improves the generalizability of research findings.

Why the other options are not correct

a. Participants do not know they are part of a study

This statement is not a valid reason for choosing a random sample. It has nothing to do with the sampling method used to determine whether participants are aware of their involvement in a study. In research ethics, it is imperative to obtain informed consent from participants. In addition to ensuring that the selection process is unbiased and everyone has an equal chance of participation, random sampling does not affect participants’ awareness of their participation.

b. The researcher has no control over who is in the study

Researchers do have control over the sampling method they use, and this is not the reason for choosing a random sample. In order to avoid bias and enhance the representativeness of a sample, random sampling is a deliberate and systematic method of selecting participants from a target population. Random sampling techniques are actively applied by researchers in order to achieve this.

c. It is larger than an ordinary sample

In addition to the research design, research question, and statistical considerations, random sampling does not necessarily indicate that the sample will be larger than an “ordinary” sample. The size of the sample depends on a number of factors, including the research design and research question. In order to ensure that participants are selected at random and without bias, random sampling can be applied to any sample size.

Conclusion

Everyone has the same chance of being part of the study. Random sampling is an effective way to select participants in research because it ensures that every individual in the target population has an equal chance of being a participant. As a result of this random and unbiased selection method, sampling bias is minimized and research findings become more generalizable to a broader population.

By using random sampling, researchers can draw more valid and reliable conclusions from their data, increasing the scientific rigor and credibility of their studies. For research outcomes to be of high quality and accuracy, researchers must carefully consider their sampling methods and use random sampling techniques when appropriate.

“Cesare lombroso, richard dugdale, and william sheldon were all proponents of”

Bibisha Shiwakoti

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