HMGT400 DeVry University Annual Percent of Medicare Enrollees Research Paper Group Assignment 3 Outline GA3 Due: 6 October 2019 Step #1: Topic Selection:

HMGT400 DeVry University Annual Percent of Medicare Enrollees Research Paper Group Assignment 3 Outline

GA3 Due: 6 October 2019

Step #1: Topic Selection:

Between Two States

– Comparing annual percent of Medicare enrollees having at least one ambulatory visit between AL and AR (or any two States but the observations for each state MUST be more than 30 obs.)

Step #2: Performing Qualitative analysis

Team Member 1:___(Name)____________ Team Member 2: ___(Name)__________

2.1. This section of the assignment is aimed at giving students an opportunity to select and analyze at least 5 articles using the ‘Review Manager 5’ tools to analyze the risk of bias for 5 selected articles following these steps:

– The methodological quality and risk of bias evaluation of the selected studies should be conducted independently by two team members, following the Cochrane Handbook for Systematic Reviews (Higgins, 2011), a domain-based evaluation for each study should be done across five domains:

– Selection bias,

– Performance bias,

– Detection bias,

– Attrition bias and,

– Reporting bias.

The judgment of studies for potential bias should be indicated by assigning ‘low risk’, ‘high risk, or ‘unclear risk’, for each respective source of bias.

2.2. Report your finding using the Bias-Tables and Bias-Plots ( Listed in Week 7)

Step #3: Performing Quantitative data analysis design, this is very similar to the Individual Assignments 1 and 2 (please look at the instruction for more details).

May be done by 3 Team Members: _____(Name 1, Name 2, Name 3)________________

For this section:

3.1. Select one of the class data sets

3.2. Identify relevant variables

3.3. Choose the statistical method you plan to use for your analysis

3.4. Identify statistical software your team will use to run the statistical analysis focusing on EXCELor RStudio (BONUS points) as the main software (you can use any other software such as SAS, STATA or SPSS, but the master-code will be available only for RStudio)

3.5. Analyze the data, state your conclusions and support them, this section should be included:

3.5.1. Hypothesis or research questions with a short paragraph to discuss the issue.

3.5.2. Research Method for this section first report the table of variables, then define the variables using the example provided in step-by-step instruction.

3.5.3. Report the software and type of analysis you performed in this section included descriptive table and plots

3.5.4. Discuss your findings

3.5.5. Discussion: for this section compare your finding with the LR (literature review) you performed in the first section

3.5.6. Recommendations: suggest a few policy recommendations based on your finding and LR.

Note: Make sure to submit your RStudio codes for your instructor review (for BONUS points). Group Assignment 3 Outline
GA3 Due: 6 October 2019
Step #1: Topic Selection:
Between Two States
– Comparing annual percent of Medicare enrollees having at least one ambulatory visit
between AL and AR (or any two States but the observations for each state MUST be more
than 30 obs.)
Step #2: Performing Qualitative analysis
Team Member 1:___(Name)____________ Team Member 2: ___(Name)__________
2.1. This section of the assignment is aimed at giving students an opportunity to select and
analyze at least 5 articles using the ‘Review Manager 5’ tools to analyze the risk of bias for 5
selected articles following these steps:
– The methodological quality and risk of bias evaluation of the selected studies should
be conducted independently by two team members, following the Cochrane Handbook for
Systematic Reviews (Higgins, 2011), a domain-based evaluation for each study should be
done across five domains:
– Selection bias,
– Performance bias,
– Detection bias,
– Attrition bias and,
– Reporting bias.
The judgment of studies for potential bias should be indicated by assigning ‘low risk’, ‘high
risk, or ‘unclear risk’, for each respective source of bias.
2.2. Report your finding using the Bias-Tables and Bias-Plots ( Listed in Week 7)
Step #3: Performing Quantitative data analysis design, this is very similar to the
Individual Assignments 1 and 2 (please look at the instruction for more details).
May be done by 3 Team Members: _____(Name 1, Name 2, Name 3)________________
For this section:
3.1. Select one of the class data sets
3.2. Identify relevant variables
3.3. Choose the statistical method you plan to use for your analysis
3.4. Identify statistical software your team will use to run the statistical analysis focusing
on EXCELor RStudio (BONUS points) as the main software (you can use any other
software such as SAS, STATA or SPSS, but the master-code will be available only for
RStudio)
3.5. Analyze the data, state your conclusions and support them, this section should be
included:
3.5.1. Hypothesis or research questions with a short paragraph to discuss the issue.
3.5.2. Research Method for this section first report the table of variables, then define the
variables using the example provided in step-by-step instruction.
3.5.3. Report the software and type of analysis you performed in this section included
descriptive table and plots
3.5.4. Discuss your findings
3.5.5. Discussion: for this section compare your finding with the LR (literatur e review) you
performed in the first section
3.5.6. Recommendations: suggest a few policy recommendations based on your finding and
LR.
Note: Make sure to submit your RStudio codes for your instructor review (for BONUS
points).

Purchase answer to see full
attachment