#Sales Offer!| Get upto 25% Off:

Prepare a 1 page double-spaced paper in APA format. The paper should have �1� margins all around, 12 point font, Times New Roman, pages numbered in upper right corner, running head and proper citations within the body of paper in APA format. The paper should include a cover page and reference page in APA format which is not include in the page count. This is a DBA in Business Administration course. The title of the course is Qualitative and Case Study Research for Business Analysis. Please write this paper as if it is your own assignment. The paper has to be scholarly written. This assignment will be submitted to turnitin. Please do not use information from another paper. Please use peer-reviewed references no older than 5 years old. Please us at least 2 of the references below. The assignment is due by April 08, 2015 by 6PM EST. I will upload the research study that we are to use for this project. You must focus on the background, problem statement, purpose statement, research question and conceptual/theoretical framework against the doctoral Study Rubric which I will upload. I am requesting you writer 337512 because you are completing my week 6 application which this should be included with this project. I know that I uploaded but apparently the professor felt that it was not correct. The professor is allowing me to correct the assignment. Thank you in advance.

Catalog Description

The D.B.A. capstone project requires that students know how to collect, organize, and interpret data. In this course, students broaden their research and general analysis skills as they further explore methodology and project types to incorporate into their doctoral study. Students engage in coursework focusing on qualitative and case study research methods, through which they learn to focus their analysis on efforts to improve the quality of an organization and its performance. Students examine techniques for thinking in an action-oriented manner, as if they were consultants, so that they can apply their own doctoral study in the real world. Finally, students engage in an iterative process of writing a proposal, incorporating feedback from peers and the course instructor. Ultimately, the proposal is offered by students as a document for review for consideration by potential mentors for their doctoral study.

Designing a Qualitative Study and Approach

The foundation of every successful doctoral study is a well-formulated business problem statement. You have likely already identified a business topic about which you are passionate, but is it a business problem that you can actually investigate? For example, does the business problem statement have a limited enough scope, and does enough research exist to support your inquiry? Critically thinking about factors such as these is necessary for constructing a pragmatic research question and a focused and promising doctoral research study.

This week, you will focus on developing your business problem statement for your own study, concentrating on its scope and on the potential resources and research methods that you can apply to it. Be sure to follow the criteria in the Walden doc study rubric. Work with your colleagues and Instructor to determine your statement’s feasibility and appropriateness as it relates to your doctoral study. You will use their feedback to hone and refine your business problem statement.

In addition, you will continue your evaluation of your selected doctoral study, focusing on the data collection methods and their fit with the identified problem and approach. Consider the relationship between the problem, the methods, and data collection techniques and how this relationship helps to focus a study………………………..

For a custom paper on the above topic, place your order now!

What We Offer:

• On-time delivery guarantee

• PhD-level writers

• Automatic plagiarism check

• 100% money-back guarantee

• 100% Privacy and Confidentiality

• High Quality custom-written papers

Found something interesting ?

• On-time delivery guarantee
• PhD-level professional writers
• Free Plagiarism Report

• 100% money-back guarantee
• Absolute Privacy & Confidentiality
• High Quality custom-written papers

Related Model Questions

Feel free to peruse our college and university model questions. If any our our assignment tasks interests you, click to place your order. Every paper is written by our professional essay writers from scratch to avoid plagiarism. We guarantee highest quality of work besides delivering your paper on time.

The process of weather forecasting begins with the collection of as much data as possible about the current state of the atmosphere. Weather data (barometric pressure, humidity, temperature, and wind direction and speed) is collected from a variety of sources, including aircraft, automatic weather stations, weather balloons, buoys, radar, satellites, ships, and trained observers. Due to the variety of data types taken from multiple data sources, weather data is captured in a variety of data formats, primarily Binary Universal Form for the Representation of meteorological data (BUFR) and Institute of Electrical and Electronics Engineers (IEEE) binary. These observations are then converted to a standard format and placed into a gridded 3D model space called the Global Data Assimilation System (GDAS). Once this process is complete, the gridded GDAS output data can be used to start the Global Forecast System (GFS) model. For purposes of this exercise, imagine that the accuracy of the weather forecasts has been slipping. In your role as project manager at the National Center for Environmental Information (NCEI), you have been assigned to lead a project reviewing the processing of the initial data and placing it into the GDAS. Review Questions .1. NCEI is responsible for hosting and providing access to one of the most significant archives on Earth, with comprehensive oceanic, atmospheric, and geophysical data. Good database design would suggest that an enterprise data model exists for the NCEI. Why 2. Define the domain of acceptable values for barometric pressure, humidity, and temperature. Critical Thinking Questions 1. What issues could cause the raw weather data received to be incomplete or inaccurate? 2. How might incomplete or inaccurate data be identified and corrected or deleted from the forecasting process? Are there risks in such data cleansing?

Read More »

Grab your Discount!

25% Coupon Code: SAVE25
get 25% !!