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Thul STP-Here We Go Again!

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Information about Thul STP-Here We Go Again!
Science-Technology

Published on February 22, 2009

Author: gmthul

Source: authorstream.com

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Here We Go Again! : Here We Go Again! Issues & Implications of Secondary Data Analysis in Qualitative Research Genevieve M. Thul, BSN, RN What is secondary analysis? : What is secondary analysis? The use of existing data, collected for a prior study, to answer a new question May use one or multiple data sets, and may include mixed data from both qualitative & quantitative studies Forms of secondary analysis : Forms of secondary analysis Additional in-depth analysis Additional sub-set analysis New perspective/ conceptual focus Goodness of Fit : Goodness of Fit Original data must fit conceptually with the secondary data analysis research question Phenomena being studied must be present in the original data Measurements & Error : Measurements & Error Measurements = potential error Researchers = potential error Conceptual fit is the 1st step Data Management : Data Management Data preparation is still essential One pitfall of existing data sources: sometimes the secondary analyst doesn’t know what the first analyst “did” to the dataset Missing Data : Missing Data Before embarking on a full analysis, the set must be explored for missing data Trying to use data with too few cases in your phenomena of interest is like banging against a brick wall! Validity : Validity How well can the conclusions of the secondary analyst be correlated with the purpose of the original data? How well are the intent & the conclusions “married”? Internal Validity : Internal Validity Can you draw any conclusions about how valid your instruments are in relation to the data you are using? External Validity : External Validity Secondary analysts must carefully report external validity in findings Clear definition of samples studied is imperative Reliability : Reliability Are the instruments used in the initial study reliable? Have they been tested? “This paper develops an objective methodology to test the audio quality of stethoscopes, classifies stethoscopes into five functional categories, and compares the audio performance of each of the five categories.” (Callahan, Waugh, Mathew & Granger, 2007) Non-Weighted Data : Non-Weighted Data Easier to analyze Used to reveal associations, especially in exploratory research Weighted Data : Weighted Data Adjusts sample design Provides better accuracy Retains power of initial sample Better generalizability to universal populations Example from Research : Example from Research Data source: a quality improvement project at the Texas/Oklahoma AIDS Education & Training Center Data form: audiotapes & transcriptions Analysis method: researcher review Findings: patterns & themes Blake, Jones Taylor, Reid & Kosowski, 2008 Example, cont. : Example, cont. In the discussion thread, please address the following questions & respond to a minimum of two responses from fellow students: What is the major limitation of the study, in your opinion? If you could propose a different method for data analysis given the dataset, what would it be and why? Do you have a research question that could be answered using secondary data analysis? Identify dataset/or find data that can be used for your research question? Resources : Resources Free online public datasets: Agency for Healthcare Research & Quality http://www.ahrq.gov/data/ Centers for Medicare/Medicaid http://www.cms.hhs.gov/home/rsds.asp Behavioral Risk Factor Surveillance System http://www.cdc.gov/brfss/index.htm Center for Disease Control & Prevention http://www.cdc.gov/DataStatistics/ U.S. Department of Health & Human Services http://www.hhs-stat.net/ Health Information National Trends Survey http://hints.cancer.gov/hints/ Web-based Medical Information Retrieval System http://archive.nlm.nih.gov/proj/webmirs/index.php Credits : Credits All images used in this presentation are open access & accessible on the internet Please contact the author for access information

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