STRENGTHS AND LIMITATIONS OF SECONDARY DATA SOURCES
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wk2assignrubrics.docx
wk2epiassignment.docx
In this information age, where data are readily accessible and there is both a great demand for accelerated research projects and strict limitations on research funding, using existing data makes sense. Data used in this way are called secondary data; they come in many forms and contain information on just about anything—depending on who collected the information in the first place, and why.
As a health professional, you have access to a wide range of secondary data sources, including government agencies (such as, the Census Bureau or the Centers for Disease Control and Prevention) and private sources, including local health service providers. Global and international data are available from familiar sources, such as the World Health Organization and the United Nations. In addition, nearly every nation maintains statistics on social, economic, and environmental indicators, which contain a wealth of health information. As a member of the Walden community, you have access to the Inter-University Consortium for Political and Social Research (ICPSR), the world’s largest archival database of secondary data. You also have access to the Social Change Impact Report (SCIR) data sets—a Walden-owned database. There are also a number of sources and tutorials available to you through Walden’s Office of Research and Doctoral Quality. No matter the topic—be it vaccination rates, women’s access to mammography, or chronic lung disease—you can probably find an existing secondary data source related to the specific population health problem you are investigating. The next steps are to identify the variables in the data source that you would need to analyze to examine the association of interest and to assess the validity of the data source. For this Assignment, you delve into these issues in greater detail.
RESOURCES
Be sure to review the Learning Resources before completing this activity. Click the weekly resources link to access the resources.
TO PREPARE:
· Consider a variety of population health problems and then select one of professional interest on which to focus for this Assignment.
· Explore three data sources (data sets) presented in the Learning Resources that could aid you in describing the population and magnitude of the problem you selected. Consider the strengths and limitations of each data source.
THE ASSIGNMENT
In 3–4 pages (not including title page and references), analyze the data sources you selected by addressing the following:
· Briefly identify the population health problem you selected.
· Identify each data set you selected.
· Identify the variables in each data set you would need to examine the association of interest.
· Assess the validity of each data set. Has it been used for prior studies/publications?
· Explain challenges you might face as a researcher in identifying a proper data set or securing permission to use it.
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wk2assignrubrics.docx
NURS_8310_Week2_Assignment_Rubric
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NURS_8310_Week2_Assignment_Rubric |
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Criteria |
Ratings |
Pts |
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This criterion is linked to a Learning OutcomeIn 3–4 pages (not including title page and references), analyze the data sources you selected by addressing the following: Briefly identify the population health problem you selected. |
20 to >17.0 ptsExcellentThe response accurately, clearly, and concisely identifies the selected population health problem. 17 to >15.0 ptsGoodThe response accurately identifies the selected population health problem. 15 to >12.0 ptsFairThe response somewhat inaccurately or vaguely identifies the selected population health problem. 12 to >0 ptsPoorThe response inaccurately and vaguely identifies the selected population health problem, or it is missing. |
20 pts |
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This criterion is linked to a Learning OutcomeIdentify each data set you selected. Identify the variables in each data set you would need to examine the association of interest. |
40 to >35.0 ptsExcellentThe response accurately, clearly, and concisely identifies each data set.... The response accurately, clearly, and concisely identifies the variables in each data set needed to examine the association of interest. 35 to >31.0 ptsGoodThe response accurately identifies each data set.... The response accurately identifies the variables in each data set needed to examine the association of interest. 31 to >27.0 ptsFairThe response somewhat inaccurately or vaguely identifies each data set.... The response somewhat inaccurately or vaguely identifies the variables in each data set needed to examine the association of interest. 27 to >0 ptsPoorThe response inaccurately and vaguely identifies each data set, or it is missing.... The response inaccurately and vaguely identifies the variables in each data set needed to examine the association of interest, or it is missing. |
40 pts |
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This criterion is linked to a Learning OutcomeAssess the validity of each data set. Has it been used for prior studies/publications? |
40 to >35.0 ptsExcellentAn accurate and detailed explanation of the validity of each data set is provided, including whether it has been used in prior studies/publications. 35 to >31.0 ptsGoodAn accurate explanation of the validity of each data set is provided, including whether it has been used in prior studies/publications. 31 to >27.0 ptsFairA somewhat inaccurate or vague explanation of the validity of each data set and whether it has been used in prior studies/publications is provided. 27 to >0 ptsPoorAn inaccurate and vague, or incomplete explanation of the validity of each data set and whether it has been used in prior studies/publications is provided, or it is missing. |
40 pts |
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This criterion is linked to a Learning OutcomeExplain challenges you might face as a researcher in identifying a proper data set or securing permission to use it. |
35 to >31.0 ptsExcellentAn accurate and detailed explanation of potential challenges as a researcher in identifying a proper data set or securing permission to use it is provided. 31 to >27.0 ptsGoodAn accurate explanation of potential challenges as a researcher in identifying a proper data set or securing permission to use it is provided. 27 to >24.0 ptsFairA somewhat inaccurate or vague explanation of potential challenges as a researcher in identifying a proper data set or securing permission to use it is provided. 24 to >0 ptsPoorAn inaccurate and vague explanation of potential challenges as a researcher in identifying a proper data set or securing permission to use it is provided, or it is missing. |
35 pts |
|
This criterion is linked to a Learning OutcomeWritten Expression and Formatting—Paragraph Development and Organization: Paragraphs make clear points that support well-developed ideas, flow logically, and demonstrate continuity of ideas. Sentences are carefully focused—neither long and rambling nor short and lacking substance. A clear and comprehensive purpose statement and introduction is provided which delineates all required criteria. |
5 to >4.0 ptsExcellentParagraphs and sentences follow writing standards for flow, continuity, and clarity.... A clear and comprehensive purpose statement, introduction, and conclusion is provided which delineates all required criteria. 4 to >3.5 ptsGoodParagraphs and sentences follow writing standards for flow, continuity, and clarity 80% of the time.... Purpose, introduction, and conclusion of the assignment is stated, yet is brief and not descriptive. 3.5 to >3.0 ptsFairParagraphs and sentences follow writing standards for flow, continuity, and clarity 60%–79% of the time.... Purpose, introduction, and conclusion of the assignment is vague or off topic. 3 to >0 ptsPoorParagraphs and sentences follow writing standards for flow, continuity, and clarity < 60% of the time.... No purpose statement, introduction, or conclusion was provided. |
5 pts |
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This criterion is linked to a Learning OutcomeWritten Expression and Formatting—English writing standards: Correct grammar, mechanics, and proper punctuation |
5 to >4.0 ptsExcellentUses correct grammar, spelling, and punctuation with no errors. 4 to >3.5 ptsGoodContains a few (1 or 2) grammar, spelling, and punctuation errors. 3.5 to >3.0 ptsFairContains several (3 or 4) grammar, spelling, and punctuation errors. 3 to >0 ptsPoorContains many (≥ 5) grammar, spelling, and punctuation errors that interfere with the reader’s understanding. |
5 pts |
|
This criterion is linked to a Learning OutcomeWritten Expression and Formatting: The paper follows correct APA format for title page, headings, font, spacing, margins, indentations, page numbers, parenthetical/in-text citations, and reference list. |
5 to >4.0 ptsExcellentUses correct APA format with no errors. 4 to >3.5 ptsGoodContains a few (1 or 2) APA format errors. 3.5 to >3.0 ptsFairContains several (3 or 4) APA format errors. 3 to >0 ptsPoorContains many (≥ 5) APA format errors. |
5 pts |
Total Points: 150
wk2epiassignment.docx
In this information age, where data are readily accessible and there is both a great demand for accelerated research projects and strict limitations on research funding, using existing data makes sense. Data used in this way are called secondary data; they come in many forms and contain information on just about anything—depending on who collected the information in the first place, and why.
As a health professional, you have access to a wide range of secondary data sources, including government agencies (such as, the Census Bureau or the Centers for Disease Control and Prevention) and private sources, including local health service providers. Global and international data are available from familiar sources, such as the World Health Organization and the United Nations. In addition, nearly every nation maintains statistics on social, economic, and environmental indicators, which contain a wealth of health information. As a member of the Walden community, you have access to the Inter-University Consortium for Political and Social Research (ICPSR), the world’s largest archival database of secondary data. You also have access to the Social Change Impact Report (SCIR) data sets—a Walden-owned database. There are also a number of sources and tutorials available to you through Walden’s Office of Research and Doctoral Quality. No matter the topic—be it vaccination rates, women’s access to mammography, or chronic lung disease—you can probably find an existing secondary data source related to the specific population health problem you are investigating. The next steps are to identify the variables in the data source that you would need to analyze to examine the association of interest and to assess the validity of the data source. For this Assignment, you delve into these issues in greater detail.
RESOURCES
Be sure to review the Learning Resources before completing this activity. Click the weekly resources link to access the resources.
TO PREPARE:
· Consider a variety of population health problems and then select one of professional interest on which to focus for this Assignment.
· Explore three data sources (data sets) presented in the Learning Resources that could aid you in describing the population and magnitude of the problem you selected. Consider the strengths and limitations of each data source.
THE ASSIGNMENT
In 3–4 pages (not including title page and references), analyze the data sources you selected by addressing the following:
· Briefly identify the population health problem you selected.
· Identify each data set you selected.
· Identify the variables in each data set you would need to examine the association of interest.
· Assess the validity of each data set. Has it been used for prior studies/publications?
· Explain challenges you might face as a researcher in identifying a proper data set or securing permission to use it.
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