What are some generic sample selection strategies? Why is it critical to use the correct sampling method for every study?
There are two types of sampling procedures: random and non-random. Both of these methodologies include a variety of strategies, and researchers choose one that is best appropriate for their research guides. Occasionally, more than one sampling approach appears to be appropriate for the study. How does one come to the decision that this approach is best for their research? The researchers use their understanding of sampling principles to decide on a sample selection technique.
Strategies for choosing samples
Kemper and colleagues (2003) list seven such guidelines:
The sampling approach should follow logically from the conceptual framework and the study's research questions. It must support and respond to the research questions while also adhering to the conceptual framework.
The sample strategy should be appropriate for the study's objectives and goals. If one sampling approach does not meet the study objectives, you might combine two procedures to obtain a suitable sample.
a comprehensive database
The sample should be able to build a comprehensive database on the topic under investigation. The sample size should be large enough to reflect the sampling frame or population. A sample that is too small may not accurately reflect the population, while a sample that is too large may be difficult to manage. As a result, selecting the appropriate sample size is crucial.
Clearly drawn conclusions
The sample should at the very least allow unambiguous conclusions and plausible explanations to be drawn from the data. The sample size should, once again, justify the population size. The sampling method should produce accurate and impartial judgments. This is only achievable if you employ the correct sample approach and processes. As the sample size grows, we can make more exact inferences. Of course, populations are enormous, and there comes a point where increasing the sample size will make it difficult to collect data and draw conclusions.
The sampling strategy must be morally sound. If the researcher does not keep the personal information secret, data protection and confidentiality difficulties may develop. In non-probability research, sample selection should also be based on theoretical considerations rather than personal preferences.
The sampling strategy must be realistic. The researcher should ensure that the sample strategy is practical given the resources available.
The sample design should allow the researcher to apply the study's findings to various contexts or groups. Generalizability is a key part of education research topics, and the sample strategy you use may have a big impact on it. The generalizability of research can be greatly improved by choosing the correct sample.
The sampling method should be as effective as possible. Because you don't want to become caught in the middle of your study with too much stress, practicality should be addressed.