Data Analysis: Model, Findings, and Implications

Data Analysis
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Table of Contents
PART B Develop and justify model............................................................................................3
PART C discuss and summarise findings....................................................................................3
PART D Discuss the managerial implications of findings........................................................11
PART E Limitation of research and suggestions for future research........................................11
REFERENCES..............................................................................................................................13
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PART B Develop and justify model
Hypothesis 1
H0- There is no significant relationship between intention to buy Nintendo switch and resilience
H1- There is significant relationship between intention to buy Nintendo switch and resilience
Hypothesis 2
H0- There is no significant relationship between intention to buy Nintendo switch and anxiety
H1- There is no significant relationship between intention to buy Nintendo switch and anxiety
These both hypothesis is taken to relate purchase intention with people behaviour.
There are various constructs in these. Here, first is anxiety of people during covid 19 that
how they feel during lock down. Another main construct is goals which Chinese people want to
achieve. Also, it means difficulty to achieve goals faced by people during covid 19. It relate with
theory of consumer behaviour. Moreover, on basis of it theory can be build. Thus, people
intention can be measured with help of interview.
PART C discuss and summarise findings
Justification of methods used-
There are various methods which has been used in data analysis. It is defined as below
Descriptive- this method is used to find out characteristics of population of present study. With
that it has been easy to find out how many people belong to what age group, their education
level, gender, etc. of Chinese consumers.
Correlation- The method is used to find out how two variables are related to each other or what
is degree of association between the two (Knyazev and et.al., 2021). Thus, through that the
relation is determined between boredom, resilience, anxiety and socialise of Chinese consumers.
Regression – This method is applied in study to find out relationship between dependent
variable on independent variable. Besides, it enables in testing of hypothesis in study.
Statistics
gender education age
N Valid 305 305 305
Missing 0 0 0
Mean 1.4033 2.3672 2.4918
Std. Error of Mean .02814 .05696 .05005
Median 1.0000 2.0000 2.0000
Std. Deviation .49136 .99484 .87402
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gender
Frequency Percent Valid Percent Cumulative Per-
cent
Valid
1.00 182 59.7 59.7 59.7
2.00 123 40.3 40.3 100.0
Total 305 100.0 100.0
Interpretation- From above table it can be stated that out of 305, 182 are male and 123 are fe-
male. So, the proportion of male is more than female in this study. Besides, mean is 1.4 which
shows most sample are male.
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