Microsoft Word - Assessment 3 Assessment Information Subject Code: BUS605 Subject Name: Business Research Methodology and Data Collection Assessment Title: Assessment 3 – Hypotheses testing...

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Microsoft Word - Assessment 3

Assessment Information
Subject Code: BUS605
Subject Name: Business Research Methodology and Data Collection
Assessment Title: Assessment 3 – Hypotheses testing (Individual Written Report)
Weighting: 35 %
Total Marks:
Length:
35
XXXXXXXXXX%)
Due Date: Submission due Week 12 – Sunday at 11.59 pm
COURSE: Master of Business (Research)
Unit: Business Research Methodology and Data Collection
Unit Code: BUS605
Type of Assessment: Assessment 3 – Individual Written Report
Unit Learning
Outcomes
addressed:
(a) Demonstrate an advanced ability to identify, assimilate, and
eview applications of, particular research techniques.
(b) Identify various means of data collection that are feasible and
can be ethically enacted.
(c) Articulate and critically evaluate differences between alternative
esearch methodologies.
(d) Explain how research outcomes may be affected by the nature
and application of particular research techniques.
(e) Demonstrate an advanced ability to construct a robust
methodology for addressing a research question.
(f) Explain how the use of selected methodologies is relevant to a
specific research proposal.
Criteria for
Assessment:
 Preliminary analysis
 Hypothesis testing and data analysis
 Interpretation of findings
 Academic writing
Submission Date: Week 12 Sunday at 11.59 pm
Total Mark &
Weighting:
35 marks | 35%
Students are advised that any submissions past the due date without an approved extension
or approved extenuating circumstances incur a 5% penalty per calendar day,
calculated from the total mark e.g. a task marked out of 15 will incur a 1.75-mark penalty per
calendar day.
Task description
Scenario
Uber, a ridesharing service company has recently entered the Nepalese market, and its service has
een received by some people. Like any product or service, customers’ adoption and usage are
essential for the survival of the firm. Thus, like any other services, there might many factors that have
influenced riders to adopt and use Uber services. However, from the existing literature, empirical studies
on factors determining ridesharing service adoption is scarce, especially in emerging economies. Thus,
a study is being conducted to address this gap in the literature. The social exchange theory forms the
asis of the study. The researcher designed the research model shown in figure 1 and developed
hypotheses H1-H5(see below the research model). Based on the research model shown in figure 1,
data was collected from some Uber riders in Nepal. The data is available in Exo (see Week 12 folder).
Figure1: Research Model
Hypotheses(H)
H1: Consumer need for prestige has a positive effect on riders’ continuous usage intentions
H2: Trust has a positive effect on riders’ continuous usage intentions
H3: Customer return investment has a positive effect on riders’ continuous usage intentions
H4: Convenience has a positive effect on riders’ continuous usage intentions
H5: Search benefit has a positive effect on riders’ continuous usage intentions
Consumer need for prestige
Riders continuous use
Intentions
Trust
Customer return on
investment
Convenience
Search benefit
Task
1. Clean the data- outliers and missing values

2. Analyse the demographic characteristics of the respondents. Create relevant chats to present
your findings.

3. Normality and distribution of data – perform a descriptive analysis (mean andHy SD of the
items) and test normality (skewness and kurtosis for all items)

4. Preliminary analysis- test the following:
a. Reliability (Cronbach alpha and CR)
. convergent validity (factor loading and AVE).
c. discriminant validity (using co
elation and square root of the AVEs)

5. Hypotheses testing: run a multiple regression to test the hypotheses (H1-H5).

6. Interpretation of findings: interpret the results from each of the analyses you have performed
(steps 2 to 5)

Important Notes:
You must create relevant tables for each of the analysis (steps 2 to 4) you have done to present your
findings. Place the table within the body of the test. Number the tables and refer to the relevant table
to support your arguments.

Cite at least one source to support your arguments. For example, if you concluded that the
acceptable threshold for Cronbach’s alpha is 0.7, cite a source to support this argument. You can find
elevant sources from survey papers in marketing, management, leadership and business research.

Download a relevant journal article in marketing, management, leadership and business research that
has used the survey research design and follow the style of reporting. If you go to the methodology
section of the articles, you would find how to report the findings.

Attach all the SPSS outputs as appendices. Remember to number all of them.

Questionnaire
Use the five-point scale to answer the questions below: 1= strongly disagree, 2 =Disagree, 3=
Neutral 4= Agree XXXXXXXXXXand 5=strongly agree
1. Gender A. Male B. Female
2. Educational Level A. Vocational/ High School B. Higher National Diploma (HND) C. University
degree D. Postgraduate degree
3. Age A XXXXXXXXXXyears B XXXXXXXXXXyears C XXXXXXXXXXyears D XXXXXXXXXXyears E. 58 years and above
4. Average usage per week A. Two B. four C. Six D. Eight E. other
Consumer need for prestige XXXXXXXXXX
CNFP Using Uber taxi enhances my self-confidence
CNFP Using Uber taxi makes me a worthy person
CNFP Using Uber services makes my friends value me
CNFP Using Uber taxi is prestigious
Trust
TS1 I trust that Uber services is safer
TS2 I trust that Uber services is ro
ery-free
TS3 I trust that Uber services drivers are careful when driving
TS4 I trust that Uber mobile application is safe to use
TS5 I trust that Uber taxi drivers will not run away with my belongings
Social connection
Using Uber services helps me get closer to important people
Using Uber services connects socially me to people
Using Uber services helps me develop relationships with others
I feel loved when use Uber services
Customer services
CS1 I am greeted and welcomed by an Uber driver anytime I pick Uber services
CS2 The Uber driver assist me when boarding the car
CS3 Uber offers friendly service
CS4 Overall , I will like customer service offered by Uber
Customer return on investment
CRI1 Uber service is cheaper
CRI 2 Uber service has a good economic value
CRI 3 Uber service gives me value for money
CRI 4 Using Uber makes me feel relaxed
Convenience
CN1 I can get an Uber driver anytime I wanted
CN2 Uber service is always accessible
CN3 Payment methods for Uber service are flexible
CN4 I am able to complete my journey without difficulty
Search benefit
SB1 It is easy to search for an Uber driver on the mobile application
SB2 Uber drivers are easily available
SB3 Uber services are normally closer to me
SB4 It is easy to reach an Uber driver
Riders continuous use Intentions
RP 1 I will continue to use Uber service.
RP 2 I encourage others to use Uber service
RP 3 I will use Uber services more often
Marking ru
ics
Report content High Distinction
85%-100%
Distinctio
n 75%-
84%
Credit
65%-74%
Pass
50%-64%
Fail
0-49
Preliminary
analysis (10
marks)
Student has presented
elevant descriptive
analyses.
Relevant graphs have been
used to support the findings.
All required primary
analyses are clearly
demonstrated in tables.
Most of the descriptive
analyses are presented.
Most relevant graphs are
presented to support
descriptive analysis.
Most of required primary
analyses are clearly
demonstrated in tables
Some of the descriptive
analyses are presented.
Some relevant graphs
are presented to support
descriptive analysis.
Some of the required
primarily analyses are
demonstrated in tables.
Very few descriptive
analyses are presented.
Very few graphs to
support descriptive
analysis.
Very few required
primarily analysis is
provided and
demonstrated in tables.
Descriptive analysis is
presented inco
ectly.
No Graph is presented to
support the findings.
Most of the required
primarily analyses are
missing.
Hypothesis testing
and data analysis
(5 marks)
All statistical methods to test
the hypotheses are co
ectly
identified and explained.
All results are clearly
labelled and presented in
tables.
Most of the statistical
methods to test the
hypotheses are co
ectly
identified and explained.
Most of the results are
clearly labelled and
presented in tables.
Some of the statistical

bus605-assessment-3-information-eu4t252a.pdf dataseta3-12yfmvjj-5ahxv43a.sav

Answered 17 days After May 31, 2021

Solution

Mohd answered on Jun 13 2021

140 Votes

Introduction:
Uber, a ridesharing service company, has recently entered the Nepalese market, and its service has been received by some people. Each time Uber extends to another country, the application's UX must be adjusted to address the issues of neighborhood clients, while holding the vibe of the
and. Configuration must be steady no matter how you look at it, so the client could distinguish the
and and a big motivator for it. In any case, it likewise needed to permit varieties that would cause the
and to feel neighborhood and make the application simple to utilize. We are given the data set and we are interested in making a model based on the hypothesis given by the researcher. There are five hypotheses given by the researcher.
Model design:
There are some factors which make users adopt the uber services. The social exchange theory forms the basis of the study. The researcher created the research model and developed some hypotheses H1 to H5. The data set is collected from some Uber riders in Nepal with respect to the research design.
The hypotheses are given as follows:
Consumer need for prestige has a positive effect on riders’ continuous usage intentions.
Trust has a positive effect on riders’ continuous usage intentions.
Customer return investment has a positive effect on riders’ continuous usage intentions.
Convenience has a positive effect on riders’ continuous usage intentions.
Search benefit has a positive effect on riders’ continuous usage intentions.
Data cleaning: This is the most useful and important task to do any kind of analysis. Since, any data set contains the missing values and the outliers in it. First we have built histograms of variables, with the help of histogram we can easily detect outliers, then we generate standardized values of that variable and order them in descending order. In this scenario we have fewer outliers or missing variables so we simply remove the whole observation from the dataset. With the use of the SPSS software the missing values rows are removed from the data set.
Demographic analysis: The demographic analysis is based on the gender of the customer, education level, age etc. In this data set, there are three major demographic variables in the dataset : gender, age, education level and average usage of the services. We have run frequency distribution of all variables. In this scenario we have three categorical variables, so we have chosen crosstab analysis. We will analyze these variables with the help of some plots. As we can see from the appendix exploratory analysis section, 360 respondents are from the age category 18-27.
Normality:
We have run some tests to check the normality of variables for eg. Shapiro wilk test.
Null hypothesis: Variable follows normal distribution.
Alternative hypothesis: Variable doesn't follow normal distribution.
If we have a p-value greater than 0.05 then we can't reject the null hypothesis hence Variable follows normal distribution. If we have a p-value less than 0.05 then we reject the null hypothesis and accept the alternative hypothesis. Hence our variable doesn't follow normal distribution. Variable deviation from normal mainly due to lack of symmetry or skewness and kurtosis. Royston P. (1991)
As we can see from the normality table, the kolomogov- smirnov and shapiro wilk test has applied to all the variables. All variables have p value less than 0.05, that means no variable has followed normal distribution. Most of the researchers claim that, if we have skewness and kurtosis values between -1 to 1, then it's most likely to follow normal distribution. Ghasemi, A., & Zahediasl, S. (2012).
A total of 500 responses were collected to conduct the analysis. That comprises people using or used Uber services were obtained through a questionnaire-based survey. However, after cleaning the data set for non-response bias i.e. the missing values and outliers, a dataset of 485 respondents was selected. Of the respondents, 265 were male (54.6%) and the remaining 220 were female. This can also be shown from the above bar chart where the bar for males is greater than the females.
The respondents were provided an option to choose from four educational levels. The vocational/high school level (category 1) comprised 1 respondent, 308 had a university degree (category 3), and 156 had a postgraduate degree (category 4). To our surprise, none of the respondents possessed a higher national diploma (category 2). This is shown in the bar plot for the education variable. The age of the respondent was again enquired under four slabs. 360 respondents belonged to the age group 18 – 27, 109 belonged to 28 – 37, and 11 belonged to 38 – 47. So, there were 5 respondents under the old age categories of 48 – 57 and 58 & above.
Therefore, the majority of the respondents were youth and might be a good fit as these categories may be using the services for commuting to colleges or offices. This is shown again using a bar plot. Lastly, respondents were...

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Microsoft Word - Assessment 3 Assessment Information Subject Code: BUS605 Subject Name: Business Research Methodology and Data Collection Assessment Title: Assessment 3 – Hypotheses testing...

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