SUBJECTS AND VARIABLES ASSIGNMENT - Due by Thursday before 5 PM in your second week (email to section leader)

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SUBJECTS (1/2 page) AND VARIABLES (1/2 page) ASSIGNMENT

(Note that you will turn in this assignment and the "STUDY DESIGNS" assignment at the same time. Incorporate these into the same document as your first week assignments. If necessary, revise the earlier sections to reflect any changes you have made to your study plans since your last section.)

First complete the assigned readings and watch the video lecture for this topic.

Then in 1/2 a page, describe the subjects that you will study:

Describe the "target" and "accessible" populations for your proposed research (consistent with the way these terms are described in the DCR textbook).
Specify and justify your proposed selection/eligibility (i.e., inclusion and exclusion) criteria.
Describe how the study participants will be sampled from the accessible population (or how they have already been sampled, if you are examining an existing dataset).
Describe the methods you plan to use to recruit potential participants (or if you are analyzing an existing dataset, describe recruitment strategies used to assemble the original study population, which may be described in a prior publication from the original study).
If you are proposing a longitudinal study, describe your strategies for retaining participants (or if you are examining an existing dataset, describe strategies used to retain participants in that original study).
Discuss the implications of your selection criteria and recruitment and retention approaches for the generalizability of the study.

In another 1/2 page, identify your predictor and outcome variables:

Describe your predictor and outcome variables. If you will have several, identify which is the primary predictor and which is the primary outcome.
Provide a detailed description of how the predictor and outcome variables will be measured in your study.
Propose and discuss strategies to reduce random and systematic error in your measurements of your predictor and outcome.

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