QSO500 SNHU Research Design & Methods for Business Problem Analysis Overview: For Milestone Three, you will analyze the data provided for your problem usin

QSO500 SNHU Research Design & Methods for Business Problem Analysis Overview: For Milestone Three, you will analyze the data provided for your problem using descriptive and inferential statistics. The data sets can be found in the given case study for your final project, Maruti Suzuki India: Defending Market Leadership in the A-Segment, within the Exhibit section. You will explain the meaning of the results of your data analysis in practical terms and consider the ethics of analyzing data to ensure it is fair, objective, and scholarly. Please keep in mind that the following data sets are quantitative: Exhibit 2, Exhibit 3, Exhibit 4, Exhibit 6, Exhibit 7, Exhibit 10 and Exhibit 11. QSO 500 Milestone Three Guidelines and Rubric
Overview: For Milestone Three, you will analyze the data provided for your problem using descriptive and inferential statistics. The data sets can be found in the
given case study for your final project, Maruti Suzuki India: Defending Market Leadership in the A-Segment, within the Exhibit section. You will explain the
meaning of the results of your data analysis in practical terms and consider the ethics of analyzing data to ensure it is fair, objective, and scholarly. Please keep in
mind that the following data sets are quantitative: Exhibit 2, Exhibit 3, Exhibit 4, Exhibit 6, Exhibit 7, Exhibit 10 and Exhibit 11.
Using all of your research and your data analysis, you will develop the concluding section of your research report: conclusions and recommendations for action.
Prompt: After you have collected your data, analyze it using descriptive and inferential statistics. Based on your research and analysis, develop
recommendations to address the research problem.
Specifically the following critical elements must be addressed:
Data Analysis:
A. Accurately analyze the data using the appropriate descriptive statistics.
B. Construct appropriate tables or graphs to accurately display the results of the data analysis. Include explanations of the meaning of the
information presented.
C. Accurately analyze the data using the appropriate inferential statistics. Be sure to include the output.
D. Explain the meaning of the results of your data analysis in practical terms (e.g., what were the results? What results were expected? What
results were unexpected? What results were unsettling?).
E. Discuss the ethics of analyzing data to ensure it is fair, objective, and scholarly. What safeguards did you put in place to ensure the integrity of
the study?
Conclusions and Recommendations for Action:
A. Summarize your research findings succinctly for stakeholders.
B. Explain how the research problem can be addressed by incorporating the results from your literature review and data analysis. In other words,
what do you now know about your research problem that you did not know or understand before?
C. Based on the conclusion, make recommendations to address the research problem that are actionable, feasible, and realistic.
D. Recommend appropriate strategies for handling any potential questions and concerns of stakeholders.
E. Based on your study, make appropriate recommendations for additional research that would improve the organization’s effectiveness.
Rubric
Guidelines for Submission: Your milestone must be submitted as a 5- to 7-page Microsoft Word document with double spacing, 12-point Times New Roman font,
one-inch margins, and at least three sources cited in APA format.
Critical Elements
Data Analysis:
Descriptive Statistics
Proficient (100%)
Accurately analyzes the data
using appropriate descriptive
statistics
Data Analysis: Tables
or Graphs
Constructs appropriate tables or
graphs that accurately display
the noteworthy variables with
explanations of the meaning of
the information presented
Data Analysis:
Inferential Statistics
Accurately analyzes the data
using appropriate inferential
statistics, including the output
Data Analysis:
Meaning of the
Results
Explains the meaning of the
results of the data analysis in
practical terms
Data Analysis: Ethics
of Analyzing Data
Conclusions and
Recommendations for
Action: Research
Findings
Discusses the ethics of analyzing
data to ensure it is fair,
objective, and scholarly as well
as safeguards put in place to
ensure the integrity of the study
Summarizes research findings
succinctly for stakeholders
Needs Improvement (75%)
Analyzes the data using
appropriate descriptive
statistics, but analysis is cursory
or contains inaccuracies
Constructs appropriate tables or
graphs to display the results of
the data analysis, but some
tables or graphs are unclear or
contain inaccuracies or lack
explanation of the meaning of
the information presented
Analyzes the data using
appropriate inferential statistics,
but analysis is cursory, contains
inaccuracies, or does not include
the output
Explains the meaning of the
results of the data analysis, but
explanation is cursory, contains
inaccuracies, or is not in
practical terms
Discusses the ethics of analyzing
data to ensure it is fair,
objective, and scholarly, but
discussion is cursory, contains
inaccuracies, or does not include
safeguards put in place to
ensure the integrity of the study
Summarizes research findings
for stakeholders, but summary is
too comprehensive or lacks
clarity
Not Evident (0%)
Does not analyze the data using
appropriate descriptive statistics
Value
10
Does not construct appropriate
tables or graphs to display the
results of the data analysis
10
Does not analyze the data using
appropriate inferential statistics
10
Does not explain the meaning of
the results of the data analysis
10
Does not discuss the ethics of
analyzing data to ensure it is
fair, objective, and scholarly
10
Does not summarize research
findings for stakeholders
9
Conclusions and
Recommendations for
Action: Research
Problem
Explains how the research
problem can be addressed by
incorporating results from the
literature review and data
analysis
Conclusions and
Recommendations for
Action:
Recommendations
Makes recommendations to
address the research problem
that are actionable, feasible, and
realistic based on the conclusion
Conclusions and
Recommendations for
Action: Questions and
Concerns of
Stakeholders
Conclusions and
Recommendations for
Action: Additional
Research
Recommends appropriate
strategies for handling any
potential questions and
concerns of stakeholders
Articulation of
Response
Makes appropriate
recommendations for additional
research that would improve the
organization’s effectiveness
Submission has no major errors
related to citations, grammar,
spelling, syntax, or organization
Explains how the research
problem can be addressed by
incorporating results from the
literature review and data
analysis, but explanation is
cursory or illogical
Makes recommendations to
address the research problem,
but they are not all actionable,
feasible, and/or realistic or
based on the conclusion
Recommends strategies for
handling any potential questions
and concerns of stakeholders,
but not all recommendations
are appropriate
Makes recommendations for
additional research that would
improve the organization’s
effectiveness, but not all
recommendations are
appropriate
Submission has major errors
related to citations, grammar,
spelling, syntax, or organization
that negatively impact
readability and articulation of
main ideas
Does not explain how the
research problem can be
addressed
9
Does not make
recommendations to address
the research problem
9
Does not recommend strategies
for handling any potential
questions and concerns of
stakeholders
9
Does not make
recommendations for additional
research that would improve the
organization’s effectiveness
9
Submission has critical errors
related to citations, grammar,
spelling, syntax, or organization
that prevent understanding of
ideas
5
Total
100%
Running header: RESEARCH DESIGNS AND METHODS
Research Design and Methods to address the Business Problem
Toneisha Brantley
QSO500
1
RESEARCH DESIGNS AND METHODS
Research Design and Methods to address the Business Problem
Introduction
Research is supposed to entail a systematic investigation to obtain a conclusion that is a
refined hypothesis. The purpose of the research is to create a stream of truth on given a problem
through experimentation or investigation where scientific methods are given the primary
advantage of helping achieve the goal. In the article, we learn more about the implications
research and its benefits in a broad spectrum when creating truths about a particular aspect. The
attribution of drawing facts through thorough research stipulates the alignment of realizing
answers to a given problem (Boslaugh, 2007). In our paper, we will show the importance of
quantitative research design and the survey method when conducting research. The essay
discusses what the research design and method above entail when responding to a research
problem.
Research Design and Methods to be used
Various research designs and methods can be deployed to help solve a problem
efficiently. In our paper, we will employ the use of a quantitative research design where our
focus will be inclined on a descriptive type of research design to antagonize the problem
(Creswell & Creswell, 2017). The attributions of survey methods will be the most strategic
considerations that will randomly avail the measures that will initiate wanton progress on the
realization of the answers to the problem presented. The design and method stipulated above
primarily fulfill various functionalities that are attributed to planning, structure, and strategy
dynamics of researching to obtain relevant answers to the business problem. It is supposed to
answer the questions on the topic and avail control variables. The design is also attributed to
2
RESEARCH DESIGNS AND METHODS
3
minimal errors. Creswell & Creswell (2017) indicates that the level of accuracy is improved
where the design enhances efficiency and reliability in the long-run.
Conditioning the entire research on quantitative research design enables for the creating
of intensified research stipulations which enables for the process to work critically well.
Quantitative research is attributed to involving large samples which enhance reliability and
validity in most cases. The concentration on responses is significant since it is the primary
stipulation that is needed in solving the business problem. The problem does not require a focus
on emotional proliferation and thus makes the design and method of research the most significant
to deploy in the event of trying to realize the answers to the business problem. Through the
quantitative research design, you will provide answers to the research problem, and by deploying
the proposed research method, you will initiate the strategy to implement the plan. The
relationship between the research design and method ensure the attribution of good data
collection which creates a speedy reflection of answering the problem more effectively as
desired by many researchers.
Variables to be deployed in Analyzing the Research Problem
According to Boslaugh (2007), it is significant to collect data most efficiently and
conveniently possible. The analysis of both primary and secondary data should stipulate
inclinations that help explain and support the positions taken by the research. Taking into
account raw data and analyzed and interpreted information will help consider the diverse angles
that are needed to develop the problem answers. To save on time and money, a secondary
analysis will be deployed to help me realize the answers to the business problem. It will also take
me to identify the research topic corresponding to the business problem identified and gathering
RESEARCH DESIGNS AND METHODS
4
as much information as I can on the topic. It will take a comparison of information from various
sources to settle on one relevant answer towards the problem as well. The analysis of the data
will also be taken into account. The implication of using internet sources, news report,
pamphlets, reports, academic journals, magazines, and books, for instance, will create a
disposition of being able to borrow from various sources and relate the answers to find the most
convenient response in the long-run.
Primary data is the most valid and reliable source of obtaining facts to complete a
research problem. The implication of deploying the survey method that was discussed earlier
enables the creation of a stipulation that projects a direct relation to the problem (Boslaugh,
2007). Typically, deciding on what type of data to use is essential. Settling on a given
methodology helps on saving time and energy. Realizing the strengths and limitations of your
methodology will enhance quick completion and understanding of the task. It is significant to
select a single research method which will help select the participants and measures to analyze
the data. It will be significant that as a researcher, you consider the attribution of primary sources
when conducting your research since they are louder on the constituents to be learned in the
event of seeking answers to the business problem. Secondary data is also very relevant; they are
attributed to setting the stage for the primary research.
Dependent and Independent Variables
In the event of realizing answers to the business problem, one input will lead to the
realization of a given outcome which might influence a given response. In other words, the
introduction of an independent variable such as using a primary source of data will contribute to
the realization of several significant responses which can be referred to as dependent variables.
RESEARCH DESIGNS AND METHODS
5
Independent variable is attributed to the act s a control experiment to test the dependent variable.
The variable being measured as we now know is the dependent variable. The primary
independent variable in this research stipulation will be the sources of data. Both primary and
secondary source of data will influence a given outcome in the long-run. The response that is
obtained as a result of deploying these strategies to realize the answers to the problem will be the
dependent variables.
Strong inputs of independent variables dictate the reception of strong answers. This is to
imply that valid and reliable answers will be realized as a result of the input. The same applies
when weak input are invested to realize the answers to the business problem. Typically, research
that is under-searched fails to improve a hypothesis. The most considerable provision that will
promote the research on independent variable and dependent variable in my position will be as
follows. What will be changed will be the independent variable, the dependent variable will be
realized where it will be the resultant developments that will be achieved as a result of the initial
change. Conversely, the independent variables are the cause of the dependent variables.
Technically speaking, experiments dictate that the dependent variable correlate in that they are
directly proportional to the independent variable.
Ethical, Professional, and Legal Considerations for using the Data Sources
Conducting research is attributed to various ethical stipulations. The development of
informed consent is achieved. The initiation of respecting anonymity and confidentiality is
realized without trying. Significantly, the respect for privacy is established as well as the
beneficence that is aligned to no harm is also reflected. Primary and secondary data help in the
realization of finding answers to the problem as the primary ethical stipulation of any research.
RESEARCH DESIGNS AND METHODS
6
The sources of data used to meet legal and professional obligations by relating accurate data.
Accuracy in the event of developing strategies that are aimed at improving a hypothesis can be
improved by deploying reliable data in research. Through the maintaining of neutrality
throughout the research, professionalism is projected. The employment of computerized and
automated programs ensures the omission of errors. Professional standards are attributed to
validity and reliability when it comes to research. The research must be consistent and accurate
as indicated by Hair Jr., Wolfinbarger, Money, Samouel, & Page (2015). Developing original
data includes legality provisions as observed in several research proliferations.
Conclusion
As stipulated by the paper, good research design and method is the primary definition of
a valid and reliable response on a problem. Typically, research takes place every day to improve
various hypotheses such as living standards and healthcare, for instance. It is significant to
deploy the most strategic research stipulations to realize the best answers for a given problem.
The paper follows closely on the guidelines and principles that encompass strategic research to
relate the best designs and methodologies that can be deployed to help solve the problem. The
disposition of using facts and figures that are relevant to a given topic enhances the development
of a good answer towards improving a hypothesis. In recommendation, every researcher must
understand the stipulations that will help them realize the sought answers before they commence
their research. The implication is to devise the most strategic design and method that will create
the needed environment to draw facts or help reach the desired conclusion.
RESEARCH DESIGNS AND METHODS
7
References
Sekaran, U. & Bougie, R (2016). Research Methods for Business: A Skill-Building Approach
(7Th ed.). Chichester, West Sussex: Wiley
Boslaugh, S. (2007). An introduction to secondary data analysis. Secondary data sources for
public health: A practical guide, 2-10.
Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed
methods approach. Sage publications.
Hair Jr, J. F., Wolfinbarger, M., Money, A. H., Samouel, P., & Page, M. J. (2015). Essentials of
business research methods. Routledge.
Mertler, C. A., & Reinhart, R. V. (2016). Advanced and multivariate statistical methods:
Practical application and interpretation. Routledge.

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