DUE 8/3/19  8 p.m EST

15 PAGES not including title & Ref Page APA Format

Be on Time & Original WORK! GRAD LEVEL


The final SPP assignment is the completion of your research methods proposal. Building on the previous four assignments, you will synthesize the material and add more information about strengths and limitations, social change implications, and ethical considerations, resulting in the creation of a complete epidemiological research methods proposal.

This assignment should be written as a coherent 15 page scholarly paper (excluding title page and references). It is expected that you will incorporate any instructor feedback on the previous assignments into your final paper.APA form and style are also expected to be followed, including the correct use of a title page, headings, in-text citations, and references. Finally, the document should read as a logically flowing, complete paper; avoid simply cutting-and-pasting the previous assignments together, as that approach is unlikely to meet expectations for a doctoral-level scholarly paper.

The following is an example of a content outline for this paper.

Follow this outline exactly (ATTACHED), all of the following content should be included in some way in the scholarly paper:

The following is an example of a content outline for this paper. While you are not required to follow this outline exactly, all of the following content should be included in some way in the scholarly paper:

· Title page

· Background (one page maximum)

· Statistics and information about the health outcome/disease(s)

· Statistics and information about the exposure/risk factor(s)

· Brief discussion of possible connection between exposure(s) and outcome(s) and justification for the study

· Research questions and hypotheses

· State the study’s research questions along with their associated hypotheses

· Target population and sample size

· Description of target population and sample

· Inclusion and exclusion criteria

· The sampling strategy to be used

Sample size considerations (how large of a sample do you need and why)

· Recruitment (primary data collection) or data selection (secondary data) strategies

· If collecting your own data, describe:

· How you will find and contact potential participants (where, when, with what method)

· The type of data collection method to be used (e.g., online survey)

· How many times participants will be contacted and by what method

· If using secondary data (an existing database), describe:

· The procedures used for recruitment, participation, and data collection by the owners of the database (i.e., how were the data in the database collected?)

· How you will gain access to the dataset


· Instrumentation (data collection tools such as surveys, interviews, or medical record abstraction forms)

· For each published instrument you plan to use:

· Identify the name of the instrument, its author, and its year of publication

· Describe the instrument and what it measures

· Discuss why the instrument is appropriate for your study and your population

· Provide information about where and with whom the instrument has been used previously

· Include information on the instruments’ known validity/reliability


· For each instrument you plan to create yourself:

· Describe the instrument and what it measures

· Discuss your plans for testing validity and reliability

· Provide information about how your instrument will help answer your research questions

· Operationalization of Variables (exposures, outcomes, covariates, potential confounders)


· For each variable in your study describe:

· Its definition specific to your study

· How it will be measured in your study

· How the variable will be coded (e.g., if collecting information on age will it be collected continuously (individual age in years) or in categories (age 18-24, 25-34, etc.)?)

· For each scale in your study, describe:

· Its definition specific to your study

· How the scale score is calculated and interpreted

· Statistical analysis plans

· Describe data cleaning and screening procedures for the initial dataset

· Discuss your plans for initial descriptive analyses and any other preliminary statistics that may be appropriate (e.g., bivariate analyses to assess potential confounders, collinearity analyses)

· For each research question/hypothesis:

· Identify the statistical test that will be used to test the association

· Describe which variables will be included in the analysis and why

· Identify the measures of association, parameter estimates, or other results and describe how they will be interpreted

· Include a discussion of additional procedures as appropriate (e.g., Bonferroni corrections, goodness-of-fit tests, tests for interaction)

· Strengths and Limitations

· Discussion of the strengths of your study proposal (e.g., strengths of study design, instrumentation, analysis)

· Selection biases

· Description of potential selection bias concerns (i.e., how representative your sample will be of the larger population)

· Discussion of strategies you will use to minimize selection bias in your study

· Information biases

· Description of the potential information biases in your study

· Discussion of how information bias will be handled or minimized in the study

· Confounding

· Identify possible confounders of the associations in your research questions

· Discuss strategies that you will use to minimize and/or measure confounding in your study

· Identification of any statistical limitations (e.g., power)

· Social Change Implications

· Identify how the study results might advance knowledge in epidemiology

· Identify how the study results might advance public health practice

· Describe potential implications for positive social change (who might be affected and how)

· Ethical Considerations (describe how you will protect human participants and their information)

· If you are collecting your own data:

· Discuss plans for administering informed consent

· Identify any ethical concerns related to recruitment or data collection and your plans to address those concerns


· For all studies:

· Describe any institutional approvals needed

· Describe whether data will be identifiable, anonymous, and/or confidential and the protections you will take (data storage procedures, who will have access to the data, etc.)

· Any other ethical issues and how they will be addressed (e.g., conducting a study at your workplace)

· References


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