Assignment Question(s):
[5 marks]
Question 1: The correct and complete sequence of steps in conducting
research is as follows:
1. Identify broad area,
2. Select topic,
3. Decide approach,
4. Formulate plan,
5. Collect information,
6. Analyze data,
7. Present findings.
Using our Saudi Digital library (SDL) you should find two papers and
determine for each paper the steps described
above.
[2
marks]
Paper 1 Paper 2
1.The broad area of the paper
2.The topic
3.Approach used
4.Data source
5. Data analysis
6.Findings
Question 2: Write a description of the research problem you propose to
investigate and explain why you chose this
topic.
[2ma
rks]
Question 3: What are the five categories of research
methods?
[1 mark]
Assignment Question(s):(Marks 5)
Question 1:
A. Prepare a questionnaire (Minimum 10 questions) for a survey/interview
on the question you came up from the activity you did in assignment 1
that is Q2( Write a description of the research problem you propose to
investigate and explain why you chose this topic.) (2 MARKS)
The question I came up with for the activity I did in assignment 1 is “what is
the importance of marketing strategy, and why do companies need such a
plan?
1)
Who are the company’s marketing targets?
2)
How will the products sold by the company help the customers?
3)
What is the best way for the company to reach its target audience?
4)
What are the best methods the company should use to promote
interactions with the customers?
5)
What metrics will be used to measure success and progress within the
organization?
6)
Does the marketing plan clarify and simplify the decisions made?
7)
Does the plan help workers make the right decisions?
8)
Does it promote organizational and employee growth?
9)
What exactly is the marketing plan trying to achieve?
10)
Is the company communicating through the right channel and with the
necessary creativity?
B.
Explain the four measurement scales in research and the scale you have
selected for the survey/interview respondents. (1 MARK)
The four measurement scales in research are nominal, ratio, interval, and
ordinal. The nominal model labels variables without using quantitative
order. Also known as the categorical variable scale, the nominal scale is the
simplest among the four measurements. This also makes it the least
informative and precise because it only provides information on the identity
and charactersneeded (Dalati, 2018).
Ordinal is the second level of measurement, and it is used to show the order
of variables. It is crucial to note that this model does not show the
difference between each variable. Ordinal is only used to show nonmathematical aspects such as happiness, pain, and frequency. Due to its
nature, the ordinal scale providesintrinsic order and defining elements of a
variable (Dalati, 2018).
The following scale is the interval scale, a numerical scale where there is
knowledge of the order of the variables and their differences. The
importance of this model is that it helps open up the jurisdiction of
statistical analysis on the selected date. The only negative aspect of this
model is that it does not provide the true zero in a study (Dalati, 2018).
The ratio is the last scale, and it provides information on the order, an exact
value between units, and have true zero. The fact that the ratio is true zero
creates room to apply inferential and descriptive statistics. It is thus
calculated based on the assumption that there is a zero value (Dalati, 2018).
For this study, I will use the ratio and ordinal measurement scales. The
interval scale will make it easy to conduct statistical analysis on the selected
data. Having a true zero value would make using descriptive and
inferential techniques in the ratio measurement method. Working with the
ratio scale would mean that I can do anything the other three models can
do.
Question 2:
Differentiate between Quantitative vs. Qualitative research. (1 MARK)
Qualitative research involves the mode used to collect, analyze, and interpret
non-numerical data. This research aims to understand how people
subjectively view certain aspects within different fields. Therefore, qualitative
research deals with textual data,including words and meanings (Mason,
2002).
Unlike the qualitative research method, the quantitative research method
deals with statistics and numbers. In this case, statistical tests are used for
analysis, unlike qualitative research, with no statistical tests (Mason,
2002). Another notable difference is that qualitative research has semistructured and even unstructured responses, unlike qualitative research,
with only fixed responses. It is thus true to say that qualitative research is
more exploratory since it can provide new hypotheses that can be used to
conduct quantitative
research.
On
the
other
hand,
quantitative
research isless experimental since it focuses on data
Question 3:
Define ANOVA and Regression Analysis (1 MARK)
Also known as Analysis of Variance, ANOVA involves utilizingdifferent
statistical methods and estimations techniques that help determine
differences among means. In other words, ANOVA is a test used to determine
the significance of a survey or an experiment(Efron, 1978). The method helps
determine the extent to which the mean of two or more groups differs.
On the other hand, regression analysis is a method used to predict the future
behavior of a dependent variable with that of one or more independent
variables. Regression analysis is thus used to establish the connection
between a dependent and one or more independent variables. The method
is thus used to find the cause and effect relationships between
variables and, at the same time to forecast and facilitate understanding of
time series modeling(Efron, 1978). Regression analysis is a mode used to find
trends in data in a certain study area.
Reference
Dalati, S. (2018). Measurement and Measurement Scales. In Modernizing the
Academic Teaching and Research Environment (pp. 79-96). Springer,
Cham.
Efron, B. (1978). Regression and ANOVA with zero-one data: Measures of
residual variation. Journal of the American Statistical Association, 73(361),
113-121.
Mason, J. (2002). Linking qualitative and quantitative data analysis.
In Analyzing qualitative data (pp. 103-124). Routledge.
Purchase answer to see full
attachment
https://ift.tt/3oF22Ir Order this and many more Essays and assignments from https://ift.tt/3oF22Ir
