M1.9 Assignment 1 (A1): Research Proposal
- Due Oct 21, 2023 by 11:59pm
- Points 10
- Submitting a text entry box, a website url, or a file upload
- Attempts 0
- Allowed Attempts 1
ASSIGNMENT 1: Research proposal
Step 1: Familiarize yourself with the National Health and Nutrition Examination Survey (NHANES 2017- March 2020 Pre-pandemic) data, documentation, and codebooks. Specifically, review documentation for the demographics data, examination data, laboratory data, and questionnaire data.
[Link: https://wwwn.cdc.gov/nchs/nhanes/continuousnhanes/default.aspx?cycle=2017-2020]
Step 2: Propose a research question(s) and hypothesis(es) you would like to evaluate for your final project. Fill the following table.
Note: For this class, you must choose a research question that can be answered with publicly available NHANES data (see the Demographic data, Dietary data, Examination Data, Laboratory Data, or Questionnaire Data sections). Anything in the Limited Access Data section requires a proposal (and payment) to CDC.
Background |
2-3 sentences explaining the public health problem. Include any background information (e.g. definitions) that are needed to understand your research question and hypotheses. Why are you interested in this topic? |
Population |
Define the population of interest (e.g. adults age 50+, women of all ages) |
Research Question |
1-2 sentence description of research question(s). You should have at least one research question that examines the association between an independent variable (i.e. exposure) and a dependent variable (i.e. outcome) |
Hypothesis(es) |
1-2 sentence description of what you expect to find |
Data sources |
List the data files within NHANES 2017-March 2020 Pre-pandemic data that you anticipate needing for your project (e.g. demographics, alcohol questionnaire) |
Variable names |
List the specific variables that you anticipate using for your project. Include both a description of the variable as well as the NHANES variable name. At this point, focus specifically on variables that you will use to define your study population and measure your exposure and outcome variables. |
Step 3: Characterize your research question(s) as descriptive, predictive, or causal. Explain your rationale.
Step 4: Import the data files you need to measure your exposure and outcome variables into SAS Studio. Use PROC PRINT to examine the first 20 lines of data within each file. Use PROC CONTENTS to examine the metadata of each file.
Step 5: Submit a document that includes your responses to Steps 2 and 3, and a copy of the output obtained in Step 4. Please submit as a .docx or .pdf file.
Download these instructions as a Word Doc here: Assignment 1.docx
An example of Assignment 1 completed is here: Assignment 1 Example.docx
Rubric
Criteria | Ratings | Pts | |
---|---|---|---|
Propose research questions
1 pt for clear description of each component listed in Step 2 table
threshold:
pts
|
pts
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Characterize your research question
Correct characterization of research question (1 pt) with rationale (1 pt)
threshold:
pts
|
pts
--
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Import Data Files, PROC PRINT and PROC CONTENTS
Provides report for PROC PRINT (1 pt) and PROC CONTENTS (1 pt) output
threshold:
pts
|
pts
--
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Total Points:
10
out of 10
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