Research Designs Research Designs When working on any research, it is always essential to come up with a new means of developing a research method that works for the specific work in mind. This will be based on the sampling method chosen. The one I choose for this experiment is the systematic random sampling method (Adèr, Mellenbergh, & Hand, 2008). This is a good method as it allows the utility of the available elements and provides an almost equal chance of choosing any of the elements without having to state which one.
It allows the researcher to pick elements within the shortest time possible and is easy to conduct (Gorard, 2013). It is also a suitable means through which the sampling frame can be easily identified and evenly spread. It is spread over the entire reference population without fearing any form of bias if carried out well. The expected sample size is sufficiently covered by this method, and it offers a chance that allows the immediate population to reflect on the findings noted within the sample selected. The findings will be generalized, but they will have to undergo reliability and validity tests before being applied.
The limitations that may occur due to generalizability mainly occur due to lack of accuracy and precision (Gorard, 2013). These will be dealt with using the validity tests. Sampling goes well with correlational designs because of the ability to control the study and come up with the ideal measures that define the intended results. This will work well in defining the intended working frameworks, the literature intended to identify the aspects of the hypothesis, as well as the provision of the ideal means of defining the subject of concern in advance (Creswell, 2012).
ReferencesAdèr, H. J., Mellenbergh, G. J., & Hand, D. J. (2008). Advising on research methods: A consultants companion. Huizen: Johannes van Kessel Publishing. Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Upper Saddle River, NJ: Prentice Hall. Gorard, S. (2013). Research Design: Robust approaches for the social sciences. London: SAGE.