Describe how you’ll identify and recruit your population under study, specifying the inclusions/exclusions criteria, as well as any necessary permissions to access and recruit the population provide the type of information collected on the participant (e.g. gender, age, race/ethnicity, health status, …) (see chapter 6 sampling below)

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Describe how you’ll identify and recruit your population under study, specifying the inclusions/exclusions criteria, as well as any necessary permissions to access and recruit the population Provide the type of information collected on the participant (e.g. gender, age, race/ethnicity, health status, …) (see chapter 6 sampling below)
Data Analysis Plan: Write your data analysis plan or the statistical analysis section for your research proposal by describing the statistical tests you’d use to analyze your data (e.g. descriptive statistics or inferential statistics using T-test, chi-square test, regression or correlation analysis, logistic regression, ANOVA …). – See Module 9/Chapter 10 on “Analyzing Quantitative Data” and the extra module on “Review of Statistical Methods and Software”.
Next Steps: This week, proceed to the data collection.
Data Collection: Distribute the survey you developed in Section #4, using a convenience sample, to collect and record your research data. – See Chapter 7: Data Collection for Quantitative Data

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