SPSS data analysis
garki.
data_anlysis.docxHere’s what where are doing
The research question is
We are trying to open a women clothing line in our store and conducted a servey to see what would happen
This is the survey. You can see it in the SPSS file
Thank you for your time!
This is the Fqy column and so on
1. How many times do you shop for clothes per month?
Weekly Monthly Every 6 months yearly
2. Do you care about the use of sustainable products?
Strongly agree 1 2 3 4 5 6 7 Strongly Disagree
3. If you knew that your next product purchase was sustainable/ethically made, would you spend more money on it?
Strongly agree 1 2 3 4 5 6 7 Strongly Disagree
4. What does the term “sustainable clothing” mean to you?
______________________________________________________________________
5. How well do you know what sustainable fashion/clothing is?
Strongly aware 1 2 3 4 5 6 7 Strongly Unaware
6. To what extent do you care about sustainable fashion?
Strongly agree 1 2 3 4 5 6 7 Strongly Disagree
7. How well do you know how your clothes are made/processed?
Strongly aware 1 2 3 4 5 6 7 Strongly Unaware
8. How much does the sustainability factor affect into your buying decisions?
Strongly agree 1 2 3 4 5 6 7 Strongly Disagree
9. How important is the environment to you?
Strongly agree 1 2 3 4 5 6 7 Strongly Disagree 10. Circle 2 variables that ultimately affect your clothing purchase
a. Price
b. Quality
c. Ethically Sourced
d. Comfort
e. Durability
f. How it fits
11. How much do you usually spend on a high quality material T-Shirt?
a. $ 20.00 - $25.00
b. $ 25.00 - $30.00
c. $ 30.00 - $35.00
d. $35.00 - $40.00
e. $40.00 - $45.00
f. $45.00 - $50.00
g. Other: $______
12. Where do you usually buy your clothes?
a. Shopping Mall
b. Online Stores
c. Swap Meet
d. Thrift Stores
e. Both a & b
f. All of the above
13. How important is it to have an environmentally / sustainable mindset towards clothing?
Strongly agree 1 2 3 4 5 6 7 Strongly Disagree
14. Have you heard of the clothing store: Industry of all nations?
Strongly aware 1 2 3 4 5 6 7 Strongly Unaware
15. Are you?
Male Female
16. How old are you?
a. Under 18
b. 18 – 25
c. 25 – 35
d. 35 +
This is the example that I want you to follow
Data analysis and findings
Our finding for each test are presented by first listing the null-hypothesis and alternative hypothesis, following by our data analysis.
Per a cross-tabulation test (Figure A) we were able to identify what percentage of full-time and part-time students were considered healthy and unhealthy. Our results showed that out of the 98 full-time students only 74.5% are considered unhealthy while 25.5% are healthy. Of the six part-time students, 83.3% are unhealthy and 16.7% are healthy.
Null Hypothesis5: There is no significant difference in the weekly average amount spend on campus meals between healthy and unhealthy students.
Alternative-Hypothesis5: There is a significant difference in the weekly average amount spend on campus meals between healthy and unhealthy students.
An Independent Sample T-test was used to compare the weekly average spending for healthy and unhealthy students. Looking at the means only [n = 104, Munhealthy = 3.52, Mhealthy = 2.92] the unhealthy students in the sample did spend more money on average (Table 1). However, the significance level [p = .609] (Table 1A) is greater than our confidence 95% or 0.05. The reason [p = .609] is due to the variance in the two groups. The variance is also tested when using an independent sample t-test through “Lavene’s Test for Equality of Variance” where we have the following hypotheses:
Null Hypothesis6: There is no significant difference in variance between healthy and unhealthy students in regards to current food expectations.
Alternative-Hypothesis6: There is a significant difference in variance between healthy and unhealthy students in regards to current food expectations.
The analysis of the variance showed a significance level higher than our 0.05 confidence level [p = .472], therefore, we fail to reject the null-hypothesis and assume the variance to be equal. In other words, it is the significant level .609 that will tell us whether the weekly average spending difference is of significance. That is, with 95% confidence there is no significant difference in the weekly average amount spend on campus meals between healthy and unhealthy students.
Null Hypothesis7: There is no difference in the current food expectation-level between healthy and unhealthy students.
Alternative-Hypothesis7: There is a significant difference in the current food expectation-level between healthy and unhealthy students.
An Independent Sample T-test was used to compare the means of the expectation level with current food options between healthy and unhealthy students. Looking at the means only [n = 104, Munhealthy = 5.53, Mhealthy = 5.54] the unhealthy students in the sample did, on average, feel that the current food options met their expectations (Table 2). However, the significance level [p = .977] (Table 2A) is greater than our confidence 95% or 0.05. The reason [p = .977] is due to the variance in the two groups. The “Lavene’s Test for Equality of Variance” tested the variance between the two groups where we had the following hypotheses:
Null Hypothesis8: There is no significant difference in variance between healthy and unhealthy students in regards to current food expectations.
Alternative-Hypothesis8: There is a significant difference in variance between healthy and unhealthy students in regards to current food expectations.
“Lavene’s Test for Equality of Variance” we got a significance of [p = 0.025], which is lower than our confidence-level of 0.05 or 95%. Therefore, we reject the null-hypothesis and read the independent sample t-test based upon the variances not being equal. This means that the significance we interpret to see if there is a difference in food expectations is [p = .977]. Here, our p-value is more than our confidence level of 0.05; therefore, we fail to reject the null-hypothesis, and can with 95% confidence say that, there is no significant difference in the current food expectation-level between healthy and unhealthy students.
