Assignment #2: Quantitative Analysis, Part 1 (20%) – Submit Files

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Assignment #2 – Team Project (20% of the grade)

Students will be developing a 12-15 page report. The main purpose of this assignment is to develop an analysis plan, which includes two main parts, the first part is a literature review and the second part is a statistical analysis which includes the following:

• Preparing data for analysis (address outliers, missing values with using technology)
• Report descriptive statistics using tables and graphs
• Run appropriate hypothesis testing techniques, along with rationale for why they are appropriate
• Run a simple regression model to address the research questions.

This is a group project and includes a peer evaluation. 

Group Participation (10% of team projects’ grade):  Students will be asked to evaluate their peers’ contributions to the work of their quantitative and qualitative analyses group. This evaluation, combined with the instructor’s evaluation of the contributions of the group members (based on observation) will be combined into a group participation grade.

In this assignment, students will go through the steps to set up a quantitative research study. The Instructor will divide the class into groups to complete the assignment.  Each group should submit 1 report. It includes a peer evaluation.

Step #1: Topic selection: In The “Topic Selection – Assignment Drop Box In Weekly Module 4 and in the Assignment Folder), add your topic and the name of the data set you plan to use for your quantitative research assignment for Instructor approval. Students are required to use one of the data sets in Course Content (in Week 6).

Step #2: Part 1: Quantitative data analysis design

Using the topic approved by the Instructor, class teams should:

a) Select a topic (as a team) and state the hypothesis

b) Conduct a literature review on the selected topic and summarize at least five scholarly sources 

c)  Select one of the data sets in Week 6 your team plans to use to conduct a statistical analysis

d) Identify relevant variables (two or more) and justify your choices

e) Work as a team to choose the statistical method you plan to use for your analysis (Refer to content in week 3 on Biostatistics for information on various statistical methods you can choose from) 

f)  Identify statistical software your team will use to run your statistical analysis focusing on RStudio as the main software

Step # 3: Analyze the data, state your conclusions and support them

a) Students should identify relevant variables and justify the choices

b) Analyze the data, state your conclusions and support them