survey analyzes - marketing consumers research
ARTX 360: CONSUMER RESEARCH FINAL PROJECT
Professor
12/1/19
Table of Contents
· Statement …………………………………………………………………. Page 3
· Structure of Questions…………………………………………………… Page 4
· Description of Sample……………………………………………………. Page 5
· Raw Data…………………………………………………………………. Page 6
· Analyze of Data…………………………………………………………... Page 7
· Relationship between Variables…………………………………………. Page 8
· Summery…………………………………………………………………... Page
· Conclusion………………………………………………………………… Page
1. Statement
It is important to investigate this topic due to were the internet is taking consumers in fashion in today’s market. I connect to this survey because of my interest in fashion has well has my career path and one day owning my own online business. fashion industry and business and careers such has Public relationships, which I’m involved in now, can all benefit in the knowledge of this study. The new media outlooks effecting the consumers buys decisions. This result would be publishing on a fashion blog to help the fashion businesses build consumers via social media.
ll. Structure of Questions
Question title: level of impact social media platforms have on consumers buying decisions.
Q1. How old are you? ( Independent)
1. 18-23
2. 24-29
3. 30-35
4. 36 or more
Q2. What is your gender? (Independent)
1. Female
2. Male
Q3. How often do u use social media? (Independent)
1. Daily
2. Few times a week
3. Few times a month
Q4. Rate the level of influence social media has on fashion buying decisions. (Dependent)
1. High
2. Moderation
3. Low
4. None
Ill. Description of Sample
I used a sample of 15 working individuals from different ages and different career paths to answer 4 questions regarding consumer research. All of my survey participants were more then happy to complete this survey due to the short time it takes to complete and the easy accessible access via email/message. With the help of my survey participant I am able to complete my study.
IV. Raw Data
|
Respondent |
Age |
Gender |
Time on social media |
Positive/ negative use of social media |
|
1 |
18-23 |
F |
Daily |
Yes |
|
2 |
18-23 |
F |
Daily |
Yes |
|
3 |
24-29 |
M |
Daily |
Yes |
|
4 |
18-23 |
M |
Daily |
No |
|
5 |
18-23 |
F |
Daily |
Yes |
|
6 |
18-23 |
F |
Daily |
Yes |
|
7 |
18-23 |
F |
Daily |
Yes |
|
8 |
24-29 |
F |
Daily |
Yes |
|
9 |
24-29 |
F |
Daily |
Yes |
|
10 |
24-29 |
M |
Daily |
No |
|
12 |
36 or more |
M |
Few times a week |
Yes |
|
13 |
18-23 |
F |
Daily |
Yes |
|
14 |
18-23 |
F |
Few times a week |
No |
|
15 |
36 or more |
F |
Few times a week |
Yes |
|
|
|
|
|
|
V. Analyses of Data
|
Influenced Purchased by social platforms |
Frequency |
|
Yes |
12 |
|
No |
3 |
Mode: Yes
|
Yes |
No |
|
12 |
3 |
Median: This is non- applicable because the median cannot be applied to a nominal set of data.
Mean: This is non- applicable because the mean cannot be applied to a nominal set of data.
Range: This is non-applicable as well because variance cannot be applied to a nominal set of data.
Variance: This is non-applicable as well because variance cannot be applied to a nominal set of data.
Standard Deviation: This is also non-applicable because standard deviation cannot be applied to a nominal set of data.
Measures of Dispersion ➔ Range, Variance, Standard Deviation.
Range: This is non-applicable because range cannot be applied to a nominal set
of data.
Variance: This is non-applicable as well because variance cannot be applied to a nominal set of data.
Standard Deviation: This is also non-applicable because standard deviation cannot be applied to a nominal set of data.
Figure 2 ➔ Frequency Distribution to social influenced purchased, N = 15
|
Influenced Purchased by social media |
Not influenced by |
Frequency
|
|
|
|
0 |
|
|
|
0 |
|
|
|
0 |
|
|
|
0 |
|
|
|
0 |
|
|
|
0 |
|
|
|
0 |
Series 1 Category 1 Category 2 3.12 3.12 Series 2 Category 1 Category 2 0.15 0.15