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8.7: Critical Analysis

  • Page ID
    64182

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    Many research articles are based on some type of sampling scheme. When assessing the sampling method used in a research article, you should look for methods such as simple random sampling, cluster sampling, stratified sampling, or some combination of these methods. If the research is based on an existing database, you may need to do some additional reading to understand how the data was originally obtained. In any case, if a sampling method that is based on statistical theory is used, some credibility can be afforded to the research study.

    One should proceed with caution for any study that does not use careful random sampling techniques. This is particularly true when statistical methods are used to elicit conclusions from the data. Statistical methods rely on careful random sampling techniques to be valid, and a lack of such sampling techniques can render the interpretation of the results of the statistical techniques null.

    In summary, the key questions in critically analyzing sampling in a study are:

    1. Are individuals observed in the population based on a census or a sample?
    1. If individuals were observed based on a census, does it seem reasonable that the authors would have access to all the individuals in the population?
    1. If individuals were observed based on a sample, was a random sampling technique such as simple random sampling, cluster sampling, stratified sampling, or some combination thereof used?
    1. If a random sampling technique was not used, what method was used? Does it seem likely that the method would provide a representative sample?
    1. If a random sampling technique was not used, were the conclusions of the study based on statistical techniques?
    1. Overall, does it seem like there may be any bias in the way that the sample was taken?

    This page titled 8.7: Critical Analysis is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by .

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