Finalizing Research Questions

Referring back to the feedback you received from your peers and your instructor on your potential research questions and their associated variables, finalize three research questions relating to your selected dataset. Make sure the variables used in the final questions you select are of the following format: Continuous response and continuous explanatory variable Categorical response and categorical explanatory variable Continuous response and categorical explanatory variable (note: the categorical variable must be dichotomous for this question) Each research question should have a clear explanatory and response variable. Review, as necessary, the Laerd Statistics Links (https://statistics(dot)laerd(dot)com/statistical-guides/types-of-variable.php) to an external site.reading from last week which explains data types and the difference between response variables (also referred to as dependent or outcome variables) and explanatory variables (also referred to as independent or predictor variables). Then, in your initial post, list your three finalized research questions, indicating the variable types. For example, using data from the Framingham Heart Study dataset, one question might be: "Is there a significant difference in total serum cholesterol levels [TOTCHOL] (continuous-ratio) (response) between smokers and non-smokers [CURSMOKE] (categorical-dichotomous) (explanatory)?’" In your response posts to your peers, provide feedback on their finalized research questions, which will become the foundation of each student’s final project. Consider the following questions as you review your peers' research questions: Is each research question clearly stated? Does each research question relate to the dataset? Do the three research questions meet the data type requirements? Does each research question identify response and explanatory variables correctly? SEE QUESTIONS/REVIEW BELOW 10 variables in your selected data set that are of interest. Note whether each variable is categorical (nominal, dichotomous, ordinal) or continuous (interval, ratio) as described in the Laerd Statistics reading. SEX- Number of women in study (categorical nominal) AGE- 50-year-old women or younger (categorical nominal) RANDID- ID number of women aged 50 or younger currently in study (categorical nominal) BMI- BMI of women aged 50 or younger when enrolled in study (continuous interval) CURSMOKE- Women 50 or younger who currently smoke cigarettes (categorical dichotomous) CIGPDAY- Women aged 50 or younger who smoke how many cigs per day (continuous interval) TOTCHOL- Total serum cholesterol of women 50 or younger (continuous interval) DIABETES- Current diabetic status of women participants aged 50 or younger (categorical dichotomous) HYPERTEN- Hypertension status of women aged 50 or younger (categorical dichotomous) DEATH- Any women enrolled aged 50 or younger deceased (categorical dichotomous) Propose 3 research questions that could be asked using these variables (note that each question should reference two variables). Explain why you find these questions of interest. Were you diagnosed with hypertension and/or diabetes at a younger age than your enrolled family member or around the same age? Genetics play a role in determining human traits and the probability of developing certain diseases. Have you maintained a healthy BMI, if not did weight issues begin during childhood or as you got older? Variations in BMI can lead to alterations that may negatively affect the cardiovascular system; therefore, understanding one's weight history can be helpful for assessing risk outcomes. How long have you been smoking, have you tried any smoking cessation programs, and are you aware of the risks associated with smoking and the benefits of quitting? The Framingham Heart Study findings suggest that cigarette smoking is linked to a heightened risk of heart disease. I am interested in understanding the participants' attitudes towards the benefits of quitting smoking. Thank you for sharing your questions. You have some good questions to consider; you may not be able to answer these types of questions with the dataset that you are using. This would have to be used with a cross-sectional study. You might want to simplify the questions. "Is there a connection between BMI and cardiovascular disease? ~Dr. B