Men And Women’s Attitudes To Catalog Shopping Do Not Differ
Assessment Part 1: Quantitative SPSS Data Analysis Task
The SPSS data file named Vite.sav is available on Canvas and should be used to complete the assignment.
Vite Sporting Goods Company
Through the years, Vite Sporting Goods has been one of the leading catalogue sellers of sporting equipment in the country. Known for its wide assortment and colourful print displays, the company's catalogue have been very popular with customers and employees, and workers have prided themselves on the high number of orders filled correctly.
Test the following hypothesis below.
1) Men and women’s attitudes to catalogue shopping do not differ. (100%)
SPECIFICATIONS OF DATA ANALYSIS
The purpose of the data analysis is to test the null hypothesis. Only one statistical test is required. It is redundant to perform analyses which are unrelated to the questions.
1
Clearly outline the process undertaken in SPSS to perform the statistical test.
Clearly present the results of your analysis - it should include the appropriate
figures. Do NOT simply cut and paste results tables from SPSS output.
Clear and full interpretation of the results should be presented in the report.
I still have an attachment, but I can't upload it. It need to open it via SPSS. How can I send it to you? - file will be provided after you take the order
Other information will be provided upon request
SPSS TASK
Name
Professor
Course
Institution
Date
Hypothesis: Men and women’s attitudes to catalog shopping do not differ.
The following table shows that men and women do not shop differently
Shopping issue
Male shoppers
Female shoppers
Shopping attitude
Less positive
More positive (H1)
Money spent
More (H4)
Less
Time spent/freq shopping
Less
More (H2, H3)
Purchase of apparel and fashion
Less
More (H5)
Shopping orientation
Utilitarian (H6)
Window-shopping/Economic/Recreational
(H7, H8, H9)
The data we collected on the category scale consisted of demographic data such as age, gender, education, marital status, family income, and occupation. In addition, the time and money spent in the shopping mall and the frequency of mall visits were some of the aspects we took care of. We used a five-point Likert-type scale in order to determine the frequency with which men and women bought fashion-related merchandise. We carried out a questionnaire survey for collecting empirical data so that the hypothesis could be tested statistically. For this purpose, we piloted on the student sample of 300. Because of the nature of this research work, we gave preference to the mall intercept data collection, and the interviews were purely exit interviews. Information was collected during business hours of the shopping mall (11 a.m. to 11 p.m.). We tried to fill one-third of the questionnaires by the mid-morning hours, and the rest of the work was done by the late afternoon and after 7 p.m.
We considered that the visitors of this mall differed substantially along with the variables of interest; thus, the data we collected was based on equal numbers of weekdays and weekends at each destination. We noticed that participation in the data collection process at some locations was voluntary. We promised that the individual details would be kept private.
Men and women’s attitudes to catalogue shopping do not differ
S.J. Kuruvilla et al.
Table 2 Results of factor analysis of shopping orientation items
Factor loading Eigenvalue
Percent of variance
Alpha
Factor 1: The utilitarian shopper
4.004
23.555
0.767
I visit the mall when I need to buy something urgently (Sample item)
0.783
Factor 2: The window shopper
1.966
11.567
0.624
I love buying products of the same category whenever I need them (sample item)
0.714
Factor 3: The economic shopper
1.731
10.184
0.735
I often look for products whose prices are lower than others (sample item)
0.858
Factor 4: The recreational shopper