10 Jul WEEK 5: SECONDARY ANALYSIS OF ARCHIVED DATA
WEEK 5: SECONDARY ANALYSIS OF ARCHIVED DATA
Secondary Analysis of Archived Data
Consider the scenario from the Week 4 Introduction. Imagine once again that you are a public health professional attempting to gather data to help answer a research question. Is there a link between diabetes and vision problems within the Taos Pueblo population in New Mexico? You decide to mail a written survey to this target population. The survey includes questions on diet, exercise, health and vision problems, and other related variables. What might threaten the validity of these self-reported data? What other types of secondary archived data sets might be helpful to you and your organization in answering your research question? What might you need to consider in terms of the validity and integrity of these data sets?
This week, you examine possible threats to the validity and integrity of self-reported data, as well as the benefits and limitations of self-reported data. You explore strategies for overcoming the limitations of secondary data. In addition, you explore the process for conducting a secondary analysis of archived data (SAAD) based on evaluating identified data sets for validity and integrity.
SDA/SAAD involves manipulation of raw data to answer a unique research question (one not previously answered by the originators of the datafile, not just gleaning information from a report (which represents descriptive statistics) or a website or peer reviewed article. If you took these courses, you may revisit your notes and coursework on SDA/SAAD from these courses as a refresher and to assist you in completing the assignments on SDA/SAAD for this course.
Students will:
Evaluate threats to validity of self-reported data
Analyze benefits and limitations of secondary data
Apply strategies to overcome limitations of secondary data
Evaluate data sets for validity and integrity
Analyze processes for determining data set integrity.
In addition to collecting data through archived databases, researchers often employ qualitative or quantitative studies to collect information directly from individuals within a target population. This is called self-reported data, and it may be prospective or retrospective. It might seem that the individuals taking a survey about their own health would have the most valid data on the subject. But is this true? What aspects of self-reported data might threaten validity??
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