Basic Instructions

1. Perform an investigation using SPSS and the data.HW3.sav (a subset of NHANES survey 2005-2006), and write a research note (see details in item 5 below) on a research question of your own.
2. Your research question must consist of an outcome variable \(\mathrm{Y}\), which can be a continuous variable (or a binary variable) and a study variable (X) that you think is likely to causally affect \(Y .^{1}\) Your research question could be a scientific hypothesis \({ }^{2}\) about the relationship between \(\mathrm{X}\) and \(\mathrm{Y}\). The study variable \((\mathrm{X})\) can be either dichotomous categorical variable, or polytomuous categorical variable or continuous variable.
3. Select several variables that may possibly confound the hypothesized \(\mathrm{X} \rightarrow \mathrm{Y}\) relationship. Again, those confounders can be any type (dichotomous categorical variable/polytomuous categorical variable/continuous variable).
4. Essentially, you need to conduct two analyses: unadjusted analysis and adjusted analysis.

1. The unadjusted analysis summarizes the selected outcome and the selected study variable using appropriate statistical method and investigates their relationship without adjusting confounders.
2. The adjusted analysis is expected to be carried out using either multiple linear regression or logistic regression (depends on which type of variable you choose) with $Y$ as the response variable, $X$ and the selected potential confounders as covariates.

5. Your research note needs to include the following sections:

1. Introduction Section: the background, source of data and objective(s) of your study with necessary citation/reference. [This is the place to discuss the reason you selection the outcome, the study variable and each of the confounder; Note, in term of explaining the reason for selecting certain confounder, for widely used variables such as gender, age, and race/ethnicity, it suffices to state that those variables have been found to be related to various health indicators. But if you select a "specific" variable (e.g., caffeine consumption, the level of uric acid), the reason for selecting the variable should be explained.]
2. Method and Results Section: describe the methods and main study results. [This is the place to describe the study design and statistical methods used in this study. Note, since we use the survey data, the study design is cross-sectional. The adjusted analysis' results is expected to present in a table format. The unadjusted analysis's results can be presented in text, and/or plot andlor table. Chose whatever you think appropriate. Be sure to make things concise.]
3. Conclusion and Discussion Section: conclude on the results with respect to your research question, discuss the study's limitation(s) and make suggestion(s) on future work. [Note, your results might show different or oppose sign or magnitude from your hypothesis. Sometimes, thinking of the difference between statistical significant and practical significant is helpful. Propose any kind of limitation(s) you might think of on this study and correspondingly, propose possible solution(s) as suggestion to the future studies]

6. Save the report as a word-processor file (to be readable with MS Word).

Price: $17.64

Solution: The downloadable solution consists of 11 pages, 664 words.
Deliverable: Word Document