Secondary Analysis of Archived Data (SAAD)
Data sets often are compiled for the purposes of original research or recordkeeping. Researchers, such as those in the field of public health, may choose to do their
own original research. This prospective research might be quantitative or qualitative. It might take the form of self-reported surveys or many other types of research.
However, not all researchers have the time or the budget to conduct their own thorough research. Instead, they might have to use preexisting data. However, not all
databases are collected for research purposes. The data may have been collected for recordkeeping. Either way, researchers might find such databases germane to their
own research and research questions. This fresh analysis of existing data in order to answer a research question is considered secondary analysis of archived data
(SAAD). A SAAD is a retrospective study and is usually quantitative; however, there is a trend to conduct SAADs with qualitative archived data.
Three essential questions about the database relating to study feasibility must be answered before proposing or initiating a SAAD:
1. Will I have access to the data to conduct the analysis? (Some databases are in the public domain, whereas others are privately owned and require that permission be
obtained from the owner to use.)
2. Does the database include the variables of interest for my study? (Are the variables that I want to explore or analyze actually included in the data set?)
3. Can the validity and integrity of the data be verified?
For this Assignment, from your own research, identify local and national health-related data sources related to diabetes. You may use data that are maintained and
collected by a community based organization but that have not been analyzed. You may use any available data set to which you have access. You are also free to use any
statistical software with which you are familiar.Write a 3-page paper in which you:
Explain how the data set relates to diabetes
Evaluate the data set for validity and integrity. Explain whether the data are valid and reliable and justify your response.
Explain possible strategies for overcoming the limitations of the secondary data.
Explain the process for selecting a data set and determining its integrity. Provide a rationale for your answer.
Support your work with Resources and additional scholarly sources as appropriate.. Use APA Style to ensure that your in-text citations and reference list are correct.References Smith, A. K., Ayanian, J. Z., Covinsky, K. E., Landon, B. E., McCarthy, E. P., Wee, C. C., & Steinman, M. A. (2011). Conducting high-value secondary dataset analysis:
An introductory guide and resources.Journal of General Internal Medicine, 26(8), 920929.
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