Great Deal! Get Instant $10 FREE in Account on First Order + 10% Cashback on Every Order Order Now

Scenario for AS3, Data Analysis Special events are designed to address customers’ needs. Satisfying these needs might be triggered intrinsically or extrinsically and varies from learning new things to...

1 answer below »
Scenario for AS3, Data Analysis
Special events are designed to address customers’ needs. Satisfying these needs might be
triggered intrinsically or extrinsically and varies from learning new things to interact with
spatial or socialising with others. Furthermore, the literature on customer engagement supports
the view that engaged customers may perceive higher quality because they customize the
experience to their own needs to enjoy the special event more.
A senior manager of a special event wishes to understand if customer motives encourage
engagement with a special event. Further, this manager wants to know if customer engagement
eally improves perceived quality of special event.
This manager designed the below research model and asked his marketing research department
to collect data to address these issues. As a part of the team, you have to analyse the data premised
on hypothetical relationships the senior manager has developed and report the findings to him. The
senior manager expects you provide him with a
ief outline of what was done with the data and why.
Further, he expects to have the results presented in a format that he can simply understand.



Customer Engagement
with Special Event
Learning motive
Excitement
motive
Escape motive
Social status
motive
Family/friends’
togetherness
Perceived Quality of
Special Event

Report content High Distinction
85%-100%
Distinction
75%-84%
Credit
65%-74%
Pass
50%-64%
Fail
0-49
Preliminary
analysis (15 marks)
All descriptive analysis is
presented.
All graphs to demonstrate
descriptive analysis are
presented.
All required primary analysis
is provided and clearly
demonstrated in tables.
Most of the descriptive
analysis is presented.
Most of the graphs to
demonstrate descriptive
analysis are presented.
Most of required primarily
analysis is provided and
clearly demonstrated in
tables.
Some of the descriptive
analysis is presented.
Some of the graphs to
demonstrate descriptive
analysis are presented.
Some of the required
primarily analysis is
provided and
demonstrated in tables.
Very few descriptive
analysis are presented.
Very few graphs to
demonstrate descriptive
analysis are presented.
Very few required
primarily analysis is
provided and demonstrated
in tables.
Descriptive analysis is
presented inco
ectly.
Graphs to demonstrate
descriptive analysis are used
and presented wrongly.
Most of required primarily
analysis is missed.
Hypothesis testing
and data analysis (5
marks)
All statistical methods to test
the hypothesis are co
ectly
identified and used.
All results are clearly labelled
and clearly presented in
tables.
Most of the statistical
methods to test hypotheses
are co
ectly identified and
used.
Most of the results are clearly
labelled and clearly presented
in tables.

Some of the statistical
methods to test hypotheses
are co
ectly identified
and used.
Some of the results are
clearly labelled and
clearly presented in tables.
Very few statistical
methods to test hypotheses
are co
ectly identified and
used.
Very few results are clearly
labelled and clearly
presented in tables.
Misapplied the analysis or
used the wrong method or
test; failed to report at least
two major steps.
Presented confusing results
with incomplete tables or no
esults at all.
Interpretation of
findings (15 marks)
All of the results of the
primary analysis are co
ectly
interpreted.
All of the results of
hypotheses testing are
co
ectly interpreted.


Most of the results of the
primary analysis are co
ectly
interpreted.
Most of the results of
hypotheses testing are
co
ectly interpreted.

Some of the results of the
primary analysis are
co
ectly interpreted.
Some of the results of
hypotheses testing are
co
ectly interpreted.

A few of the results of the
primary analysis are
co
ectly interpreted.
A few of the results of
hypotheses testing are
co
ectly interpreted.

Hardly results for the primary
analysis are co
ectly
interpreted.
Hardly results for hypotheses
testing are co
ectly
interpreted.

Academic writing
(5 marks)
Writing is very well clear,
concise, and very smooth-
flowing.
Exhibits and Facts are very
clearly presented in support
of claims.
Logical structure and well-
developed report in discipline
specific academic language.
Writing is very clear, concise,
smooth-flowing
Exhibits and Facts are clearly
presented in support of
claims.
Logical structure and a
coherent, concise well-
developed report in discipline
specific academic language
Writing is clear, concise,
some
eak down in flow.
Exhibits and Facts are not
well presented in support
of claims.
Discipline-specific in
academic language is
used.
Reasonably organised
eport presented in
discipline-specific
academic language
some grammatical and
punctuation e
ors
The report is partially
organised and sometimes
coherent. Some discipline-
specific academic language.
No grammatical and
punctuation e
ors.
Very little grammatical and
punctuation e
ors
Very little grammatical
and punctuation e
ors
Assessment 3: Data analysis and reporting
Due: 11:55 pm, Sunday, Week 13 (online submission)
Value 40 marks
This assessment intends to elevate your ability to make sense of data and solve marketing problems and support marketing decision making. You have to work
individually and prepare a comprehensive report on the findings of your data analysis, interpret the results. You have to identify and apply appropriate analytical
strategies to address a set of research questions (or problems) a manager of a firm (here the lecturer) has developed. The data for this task has been supplied by the
lecturer. The word length for the “data analysis and report” is 3000 words +/- 10%.
No extensions will be granted. There will be a deduction of 5% of the total marks awarded mark for each 24 hour period or part thereof that the submission is late (for
example, 25 hours late in submission – 20% penalty).
How to report analysis result?
Follow these steps:
1- Data cleaning, outliers and missing values
2- Frequency analysis and getting charts only for demographic information
3- Descriptive analysis, mean and SD of the item, normality test ( skewness and kurtosis for all items); You are required to put the table for
descriptive analysis in the appendix, however you must interpret/explain the findings of descriptive within the body of the assignment)
4- Preliminary analysis:
a) Reliability (cronbach alpha and CR) and convergent validity (factor loading and AVE). Design a table to report the findings and this table
must be placed within the body of the assignment
) Co
elation analysis table (co
elation and discriminant validity); this table must be placed within the body of the assignment

5- Hypotheses testing: You have to run the regression that address the hypothesised relationship and clearly present those results in tables; this table
must be placed within the body of the assignment

Interpretation of findings: In every step of data analysis and based on the result you get from SPSS, you have to interpret the result and say what those
esults mean. Use the write-up samples in the lecture slides but please don’t copy and paste. If you go to the methodology section of different quantitative
articles, you would find various ways to report the findings.
Important notes:
You have to include all of the SPSS output as an appendix to the report.
Reference list and these appendixes are not included in the word count.


Survey of Items

Constructs, items, codes

Learning Motive
LM1- To explore new places
LM2 -To experience new and different lifestyles
LM3- To learn new things, and increase my knowledge

Excitement Motive
EXM1- To experience the excitement offered by this event
EXM2- To enjoy the event activities and atmosphere
EXM3- To visit a once-in-a-life time event
EXM4- To visit famous cultural and historical attractions

Escape Motive
ESM1- To have fun
ESM2- To escape (e.g., routine work)

Social Status Motive
SM1- To do something that impresses others
SM2- To go somewhere that my friends haven’t been (attended yet)

Family/Friends Togetherness Motive
FTM1- To spend time with my family/friends
FTM2- To create good memories with family/friends

Customer Engagement
CE1- I like to learn about this event
CE2- I pay a lot of attention to anything about this event
CE3- Anything related to this event grabs my attention
CE4- I feel happy when I am attending this event
CE5- I get pleasure from attending this event
CE6- Attending this event is like a treat for me
CE7- I am interested in anything about this event
CE8- I find this event interesting
CE9- I feel enthusiastic about this event

Perceived quality of special event
PEQ1- The quality of this event is “Poor”………”Excellent”
PEQ2- The quality of this event is “Inferior”………”Superior”
PEQ3- The quality of this event is “Low Standard”………”High Standard”

Demographic information
DC1- what is your gender?
DC2- what is your age?
DC3- what is the highest level of your education?
DC4- what is your job?

Sample of Assignment 3.pdf
Assessment 3
This report has been developed at the request of senior management to understand the
elationship between customer participation and service firm performance to help improve
usiness practices.

Preliminary Analysis

The sample for this study is drawn from data collected from the data service industry. In total
there were 1430 questionnaires distributed.

Prior to conducting any analysis, the data set was cleaned to ensure the data could be used
appropriately to conduct the analysis. After defining the values and unit of measurement for
each individual dataset, the data was reviewed to remove any mistakes in the data. Upon
eview of the data there were e
ors noted in the demographic categories these inaccuracies
were simply deleted from the dataset. When reviewing the frequency for each construct there
d
With the maximum value of 9 this highlighted an e
or in the data as the values should have
een between 1 and 7 based on the scale range, this entry was simply deleted.

Of the
Answered Same Day Jun 10, 2021

Solution

Sudharsan.J answered on Jun 11 2021
153 Votes
Assessment
This report has been prepared at the favour of event manager to understand the satisfactory level of customer on their needs and to understand the customer engagement and quality of special event.
PRELIMINARY ANALYSIS
The study sample is obtained from the survey by the marketing research team. Total number of collected data is 286.
Before starting up the analysis, the data sets collected should be cleaned to know the consistency of the analysis which is the basic rules of analysis. The variable, values and units measurements were declared for every dataset. After the variable declaration and data entry, the data set are scanned to remove the flaws in the data. In that reviewing data, the e
ors were noted in the demographic variables and measurements. The unit of measurements were recorded as scale .Actual units were ordinal and nominal scale. In demographic variable DC3 an e
or is detected in item 120 and 201,”education” with maximum value 7 which highlights an e
or in the data as the value should lie between 1 and 6 based the scale range and these entries were simply removed from data set. After removing these outliers the total response were reduced to 284.
Out of 284 respondents, 85 (29.9%) were males and 199 (70.1%) were females which are represented in Graph1.
Many of the respondents falls under the age group “under 25” with 47.2% (134), the second place took by the age group is “25-34” with 21.1% (60), “35-44” group constitutes 13.7% (39), “45-54” group constitutes 11.6% (33) and the least respondents fall under “more than 55” with 6.3% (18) and the graph of age of the respondents were represented in Graph 2.
Under the DC3 variable “education” more number of respondents falls under “under graduate degree” with 51.8% (147) and least number of respondents comes under ”primary school” with 2.5% (7). The other respondents are as follows: “high school” with 22.9% (65), “vocational or technical education” with 5.6% (16), “diploma” with 4.6% (13), “post graduate degree” with 12.7% (36) and graph has been represented in Graph 3.
In DC4 most of them were “students” who accounts for 44.4% (126) in the total and less number of response were in “unemployed” group with 7% (2). The others were as follows: “employee” accounts for 14.4% (41), “government employee” accounts for 15.8%(45), “business owner” accounts for 17.3% (49), “retired” accounts for 3.2% (9) and “home duties &other” accounts for same percentage 2.1% (6) whose graph is represented in Graph 4.
The skewness and kurtosis shows that all the items are normally distributed and it is negatively skewwed. The items learning motive (LM1-LM3), Excitement motive to pay (EXM1-EXM4) and Escape motive (ESM1-ESM2, Social Status motive (SM1-SM2), Customer Engagement (CE1-CE9), Perceived Quality Event(PQE1-PQE3)and Family/Friends togetherness motive (FTM1-FTM2) as the kurtosis indices fitted between 3 and skewness indices fitted between 1 we can conclude these items have normal distributions. Since, we have the ordinal data set which is not necessary to be fit normally perfectly. The complete analysis of kurtosis and skewness as well as the mean and standard deviation for each and every construct is showed below in table 4, descriptive statistics.
The factor loading component in the table 5, for each construct was calculated as part of the preliminary analysis of data. The acceptable rule for the factor loading in all the items should be greater than 0.5 and no cross loading should come. As shown in table 5, preliminary analysis for all of the factor loading scores of all constructs are over 0.5, which showed the measures used in this analysis is acceptable convergent validity.
The composite reliability for all the component is calculated in detailed in table 5 as a preliminary analysis. The result showed the reliability requirement of the above measures. Added to this, the AVE score was calculated for each component to further test the validity, the results are shown in table 5.
The co
elation coefficient is a statistical measure used to calculate the strength of the relationship between two variables. The co
elation is a measurement between -1 and +1. There is positive linear relation between the components when it raises ahead 0 positively otherwise it represents negative linear relation between the components co
elation coefficient value raises down from 0 negatively. Here, we have the linear relationship between the variables.
As shown in table 5, preliminary analysis Cronbach Alpha exceeds 0.7 and all factor loading scores exceed the 0.5 benchmark. The analysis results showed above supports the reliability throughout the data and validity of the measurement model.
Hypothesis Testing and Data Analysis
The model in the table 7, the manager proposed model were formulated and a set of appropriate hypothesis to understand if customer motives encourages the engagement with a special event and wants to know if customer engagement really improves perceived quality of special event. So, the framed hypotheses are:

H1: There is a positive relation between Learning motive and customer engagement with special event.
H2: There is a positive relation between Excitement motive and customer engagement with special event.
H3: There is a positive relation between Escape motive and customer engagement with special event.
H4: There is a positive relation between Social Status motive and customer engagement with special event.
H5: There is a positive relation between Family/Friends togetherness motive and customer engagement with special event.
H6: There is a positive relation between Customer engagement with special event and Perceived Quality of special event.
Before testing the hypotheses, the data was standardised to make sure appropriate analysis of regression.
The Summary of model can be seen in table 8. The R square figure which represents a statistical measure of how close the data is to the fitted regression line for all hypotheses recorded. The R square values include: Hypothesis1 0.336, Hypothesis2 .369, Hypothesis3 .088, Hypothesis4 0.143, Hypothesis5 0.219 and Hypothesis6 0.294. Some of the results represent a weak status as the scores are below the standardised value 0.25 benchmark such as H3, H4 and H5.
· H1 stated that there is a positive relationship between learning motive and customer engagement with special event. Says that the result satisfies this hypothesis at the confidence level 0.99. The t-value is 11.957 which is bigger than the threshold of 2.58 and coefficient is strong (0.580 and <0.01).
· H2 stated that there is a strong positive relationship between excitement motive and...
SOLUTION.PDF

Answer To This Question Is Available To Download

Related Questions & Answers

More Questions »

Submit New Assignment

Copy and Paste Your Assignment Here