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Sample selection is crucial in research methodology as it determines the validity, reliability, and generalisability of the research findings.
In research methodology, the sample selection process is a critical step that can significantly influence the outcomes of the study. The sample is a subset of the population that is being studied. It represents the larger group from which it is drawn. Therefore, the sample must be carefully selected to ensure that it accurately reflects the characteristics of the population. If the sample is not representative, the findings of the study may not be applicable to the broader population, limiting the generalisability of the research.
The validity and reliability of the research findings are also dependent on the sample selection. Validity refers to the extent to which the research measures what it intends to measure. If the sample is not representative, the validity of the research may be compromised. For example, if a study aims to understand the behaviour of teenagers but only includes teenagers from a single school, the findings may not be valid for all teenagers.
Reliability, on the other hand, refers to the consistency of the research findings. If the research were to be repeated with a different sample from the same population, the results should be consistent. However, if the sample selection is biased or flawed, the reliability of the research may be affected.
Moreover, sample selection can also impact the statistical power of the study. The statistical power is the probability that the study will detect an effect if there is one. A larger sample size generally increases the statistical power of the study, making it more likely to detect significant effects. However, if the sample size is too small or too large, it may lead to inaccurate results or waste of resources.
In conclusion, sample selection plays a pivotal role in research methodology. It can influence the validity, reliability, generalisability, and statistical power of the research. Therefore, it is essential to carefully consider the sample selection process when designing a study.
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