Importance of Random Sampling in Research Studies
Suppose all 100 questionnaires were completed and returned. Would this then represent an SRS? What
type of sample would it be?
This would not represent a SRS due to the fact that it is not randomized if every 10th
employee is chosen to send a survey. This is more of a methodical sample due to only
sending the survey out to every 10th employee that uses the benefit.
Importance of Random Sampling in Research Studies
In the realm of research methodology, the process of selecting a sample can greatly impact the reliability and validity of study results. One commonly used method is Simple Random Sampling (SRS), where each member of the population has an equal chance of being selected. However, in the scenario described, where every 10th employee is chosen to receive a survey, it does not align with the principles of SRS.
Deviation from Simple Random Sampling
The selection of every 10th employee to participate in the survey introduces a systematic bias into the sample. This methodical approach, while organized and structured, does not ensure randomness in participant selection. As a result, the sample obtained cannot be considered a Simple Random Sample.
Methodical Sampling
The technique of selecting every 10th employee falls under the category of methodical sampling. This approach involves a systematic procedure for selecting sample elements, such as choosing individuals at regular intervals or based on a specific pattern. While methodical sampling may have its advantages in certain research contexts, it lacks the randomness essential for drawing generalizable conclusions to the broader population.
Implications for Research Validity
Using a methodical sampling technique instead of SRS can compromise the external validity of a study. The findings derived from such a sample may not be generalizable beyond the specific group of employees surveyed. Researchers must be mindful of the sampling method employed to ensure the robustness and accuracy of their study results.
In conclusion, while the completion and return of all 100 questionnaires may suggest a high response rate, it does not equate to a Simple Random Sample. The systematic selection of every 10th employee represents a methodical sampling approach that deviates from the principles of randomness crucial for obtaining representative samples in research studies. Researchers should prioritize random sampling methods to enhance the credibility and applicability of their findings.