Trident DOC670 2020 January Module 5 CASE & SLP Latest

DOC670 Applied Statistics for Research

Module 5 Case

COMPARING MODELS TO ASSESS THE RESEARCH PROBLEM

Assignment Overview

In this Case Assignment, you will be reading several articles and sources relating to different kinds of data analysis, the process of inferring conclusions from data, the legitimacy of different kinds of analyses, and the development of conclusions and recommendations from your data. You will then be asked to develop a preliminary data analysis and presentation plan, describing the kinds of inferences you hope to draw from your data and how you justify their legitimacy. You also be asked to sketch out a plan for presenting your findings for your research site and wrapping up your relationship with the site.

As the course has progressed, you have made a series of decisions in which you have increasingly specified the structure of your project. These decisions build on each other in critical ways. However, you’re not locked into previous decisions if you subsequently decide you need to change direction. As before, you have an opportunity to go back and revise and/or extend the sections completed in previous modules. If you do revise earlier sections, please include them and indicate what changes you have made to them. Case grades given for the first four modules have been advisory rather than final. Your ultimate grade will be based on the completed methodology section represented by the final versions of all five cases put together at the end of the course here in Module 5.

Case Assignment

Prepare a 5- to 7-page paper in accordance with the following Assignment Expectations, describing the analysis issues for your project that form the basis for the Methodology section of your dissertation, in accordance with the following outline:

Identify the major kinds of data that you plan to collect during your project. Discuss the IRB approval process. For each major kind of data, identify steps that you will take to analyze those data for purposes of the project. The readings will help you identify different kinds of data and appropriate analytical procedures associated with each.

Identify the main kinds of conclusions that you hope to draw from your data analysis. These might be descriptive/analytical, prescriptive in the form of recommendations, suggestions in the way of forward thinking, or some combination of these. For each type of conclusion, identify offices and people within the organization that you believe might be interested in your conclusions, and why they might be interested.

Identify the main deliverables from your project, and to whom the delivery would be made other than the members of your doctoral committee.

Remember, the five Case Assignments that you’ve completed in this course together constitute an effective first draft of the Methodology section of your project proposal. Therefore, you want to review the previous assignments carefully in light of the feedback that you have been given and take the opportunity to make any needed revisions or modifications so that the document hangs together clearly and effectively. Your final grade for the case part of this course will be based on the sum of the five parts taken together, so this is your opportunity to remediate any deficiencies you might have encountered in previous modules.

Please conclude your paper with a paragraph or two assessing the effectiveness of this approach to developing the methodology for your project and any lessons that you have learned during this course about the nature and conduct of academic research in applied settings.

DOC670 Applied Statistics for Research

Module 5 SLP

COMPARING MODELS TO ASSESS THE RESEARCH PROBLEM

In this SLP you will use statistical tests and graphics to determine if measures are significantly different across some specified criteria. Since your research is focused on one firm, you will be testing across relatively small sets of data. With such small sets of data, the tests do not assume normality that is required of parametric statistics. In parametric statistics, samples are drawn from a population so as to make generalizations from that population. For the tests you are doing in your dissertation, you will use small sample t-tests and visualizations.

For the United Way, this spreadsheet shows the donations across 14 of their major corporate partners. The donations are broken out by gender. Not only are they interested in the total gifts from each firm but also the break-out by gender and the average per person donation. Here is an image of the clickable spreadsheet shown in Figure 7.

Figure 7

Figure 9. Pivot Table example