Like the quantitative data analysis, qualitative data analysis also has importance because sometimes we do not get the numeric information about the variables or data. In this case, we always use the qualitative data analysis method for study of given particular variables. In qualitative data analysis, we need to prepare the data by taking interviews or other methods. The respondents give us the qualitative information for the questions as to them and we need to store this information systematically. We need to code these answers by creating some categories as required. Here, we are interested to analysis the qualitative data collected at the KDS shopping mall. Kingston Department Store or in short KDS is the well established department store and they want to study some aspects about its customers. For this purpose we have to conduct the some interview plan and then we have to take some interviews for this study purpose. Here we are conduct nine interviews and we get the answers for these interviews or questions in these interviews. First of all, we need to do some coding work for systematic collection of data information. The coding is given below:
Variable |
Description |
Code |
Sex |
Male |
1 |
Female |
2 |
|
Age |
25-39 |
1 |
40-54 |
2 |
|
55+ |
3 |
|
Visiting Frequency |
weekly |
1 |
monthly |
2 |
|
twice a year |
3 |
|
reason for shop at KDS |
Prompts: Buying and Browsing |
1 |
Convenience: Parking |
2 |
|
Product range quality price |
3 |
|
Transport links |
4 |
|
Staff: knowledgeable, polite, helpful |
5 |
|
other: Queues, cafe, lifts, toilets, facilities |
6 |
|
time spend at KDS |
less than 1 hour |
1 |
1-2 hour |
2 |
|
more than 2 hour |
3 |
|
Type of buy |
Cloths |
1 |
Stationary |
2 |
|
Jewellery |
3 |
|
Electronics |
4 |
|
Footwear |
5 |
|
Food |
6 |
|
Other |
7 |
|
Source of Information |
Internet |
1 |
Newspaper |
2 |
|
Advertisement |
3 |
|
Other |
4 |
|
Availability of range of products |
yes |
1 |
No |
2 |
|
New Arrivals |
Yes |
1 |
No |
2 |
The following information is collected through the interviews taken at KDS departmental store.
Coding |
|||||
Variable |
INTERVIEW 1 – JOAN |
INTERVIEW 2 – FARIDEH |
INTERVIEW 3 – DOREEN |
INTERVIEW 4 – GRACE |
INTERVIEW 5 – PAM |
Age |
2 |
2 |
2 |
2 |
2 |
Sex |
2 |
2 |
2 |
2 |
2 |
HOW OFTEN DO YOU SHOP AT KDS? |
2 |
1 |
2 |
2 |
1 |
WHY DO YOU SHOP AT KDS? |
3 |
2 |
1 |
5 |
5 |
CAN I ASK WHAT YOU MEAN BY QUALITY? WHAT MAKES YOU FEEL IMPORTANT WHEN YOU COME HERE? |
3 |
2 |
3 |
2 |
1 |
ARE THERE ANY OTHER REASONS YOU SHOP HERE? |
2 |
5 |
6 |
3 |
4 |
HOW LONG DO YOU NORMALLY SPEND IN THE STORE? |
3 |
3 |
1 |
2 |
1 |
WHAT DO YOU TYPICALLY BUY / COME TO BUY AT KDS? |
7 |
1 |
1 |
2 |
6 |
ARE THERE ANY PRODUCTS/RANGE OF PRODUCTS NOT CURRENTLY STOCKED THAT YOU WOULD LIKE TO SEE INTRODUCED IN KDS? |
1 |
2 |
2 |
1 |
2 |
ARE THERE ANY PRODUCTS/RANGES CURRENTLY STOCKED THAT YOU NEVER CONSIDER BUYING FROM KDS? WHY? |
1 |
2 |
1 |
2 |
2 |
The coding for the interview questions given as below:
Coding |
||||
Variable |
INTERVIEW 6 – ELENA |
INTERVIEW 7 – ANNE |
INTERVIEW 8 – LILY |
INTERVIEW 9 – LAURA |
Age |
2 |
2 |
2 |
2 |
Sex |
2 |
2 |
2 |
2 |
HOW OFTEN DO YOU SHOP AT KDS? |
1 |
3 |
2 |
2 |
WHY DO YOU SHOP AT KDS? |
6 |
1 |
3 |
2 |
CAN I ASK WHAT YOU MEAN BY QUALITY? WHAT MAKES YOU FEEL IMPORTANT WHEN YOU COME HERE? |
1 |
3 |
2 |
2 |
ARE THERE ANY OTHER REASONS YOU SHOP HERE? |
3 |
5 |
6 |
3 |
HOW LONG DO YOU NORMALLY SPEND IN THE STORE? |
2 |
3 |
3 |
2 |
WHAT DO YOU TYPICALLY BUY / COME TO BUY AT KDS? |
4 |
3 |
2 |
7 |
ARE THERE ANY PRODUCTS/RANGE OF PRODUCTS NOT CURRENTLY STOCKED THAT YOU WOULD LIKE TO SEE INTRODUCED IN KDS? |
2 |
1 |
1 |
2 |
ARE THERE ANY PRODUCTS/RANGES CURRENTLY STOCKED THAT YOU NEVER CONSIDER BUYING FROM KDS? WHY? |
1 |
1 |
2 |
2 |
The data in the systematic format is given below:
Interview No. |
Variable |
|||||||||
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
|
1 |
2 |
2 |
2 |
3 |
3 |
2 |
3 |
7 |
1 |
1 |
2 |
2 |
2 |
1 |
2 |
2 |
5 |
3 |
1 |
2 |
2 |
3 |
2 |
2 |
2 |
1 |
3 |
6 |
1 |
1 |
2 |
1 |
4 |
2 |
2 |
2 |
5 |
2 |
3 |
2 |
2 |
1 |
2 |
5 |
2 |
2 |
1 |
5 |
1 |
4 |
1 |
6 |
2 |
2 |
6 |
2 |
2 |
1 |
6 |
1 |
3 |
2 |
4 |
2 |
1 |
7 |
2 |
2 |
3 |
1 |
3 |
5 |
3 |
3 |
1 |
1 |
8 |
2 |
2 |
2 |
3 |
2 |
6 |
3 |
2 |
1 |
2 |
9 |
2 |
2 |
2 |
2 |
2 |
3 |
2 |
7 |
2 |
2 |
The list of variables is given below:
No. |
Variable |
1 |
Age |
2 |
Sex |
3 |
HOW OFTEN DO YOU SHOP AT KDS? |
4 |
WHY DO YOU SHOP AT KDS? |
5 |
CAN I ASK WHAT YOU MEAN BY QUALITY? WHAT MAKES YOU FEEL IMPORTANT WHEN YOU COME HERE? |
6 |
ARE THERE ANY OTHER REASONS YOU SHOP HERE? |
7 |
HOW LONG DO YOU NORMALLY SPEND IN THE STORE? |
8 |
WHAT DO YOU TYPICALLY BUY / COME TO BUY AT KDS? |
9 |
ARE THERE ANY PRODUCTS/RANGE OF PRODUCTS NOT CURRENTLY STOCKED THAT YOU WOULD LIKE TO SEE INTRODUCED IN KDS? |
10 |
ARE THERE ANY PRODUCTS/RANGES CURRENTLY STOCKED THAT YOU NEVER CONSIDER BUYING FROM KDS? WHY? |
Variable |
Description |
Code |
Sex |
Male |
1 |
Female |
2 |
|
Age |
25-39 |
1 |
40-54 |
2 |
|
55+ |
3 |
|
Visiting Frequency |
weekly |
1 |
monthly |
2 |
|
twice a year |
3 |
|
reason for shop at KDS |
Prompts: Buying and Browsing |
1 |
Convenience: Parking |
2 |
|
Product range quality price |
3 |
|
Transport links |
4 |
|
Staff: knowledgeable, polite, helpful |
5 |
|
other: Queues, cafe, lifts, toilets, facilities |
6 |
|
time spend at KDS |
less than 1 hour |
1 |
1-2 hour |
2 |
|
more than 2 hour |
3 |
|
Type of buy |
Cloths |
1 |
Stationary |
2 |
|
Jewellery |
3 |
|
Electronics |
4 |
|
Footwear |
5 |
|
Food |
6 |
|
Other |
7 |
|
Source of Information |
Internet |
1 |
Newspaper |
2 |
|
Advertisement |
3 |
|
Other |
4 |
|
Availability of range of products |
yes |
1 |
No |
2 |
|
New Arrivals |
Yes |
1 |
No |
2 |
|
QUALITY |
bad |
1 |
Good |
2 |
|
better |
3 |
The qualitative data analysis for the given data is given below:
Statistics |
||
Age |
||
N |
Valid |
9 |
Missing |
0 |
Age |
|||||
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
|
Valid |
40-54 |
9 |
100.0 |
100.0 |
100.0 |
Statistics |
||
Sex |
||
N |
Valid |
9 |
Missing |
0 |
Sex |
|||||
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
|
Valid |
Female |
9 |
100.0 |
100.0 |
100.0 |
Statistics |
||
Shopping_frequency |
||
N |
Valid |
9 |
Missing |
0 |
Statistics |
||
Reason_for_shopping |
||
N |
Valid |
9 |
Missing |
0 |
Reason_for_shopping |
|||||
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
|
Valid |
Prompts: Buying and Browsing |
2 |
22.2 |
22.2 |
22.2 |
Convenience: Parking |
2 |
22.2 |
22.2 |
44.4 |
|
Product range quality price |
2 |
22.2 |
22.2 |
66.7 |
|
Staff: kowledgeable, polite, helpful |
2 |
22.2 |
22.2 |
88.9 |
|
other: Queues, cafe, lifts, toilets, facilities |
1 |
11.1 |
11.1 |
100.0 |
|
Total |
9 |
100.0 |
100.0 |
|
Statistics |
||
Quality |
||
N |
Valid |
9 |
Missing |
0 |
Quality |
|||||
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
|
Valid |
Bad |
2 |
22.2 |
22.2 |
22.2 |
Good |
4 |
44.4 |
44.4 |
66.7 |
|
Better |
3 |
33.3 |
33.3 |
100.0 |
|
Total |
9 |
100.0 |
100.0 |
|
Statistics |
||
Other_reason |
||
N |
Valid |
9 |
Missing |
0 |
Other_reason |
|||||
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
|
Valid |
Cafe |
1 |
11.1 |
11.1 |
11.1 |
Lift |
3 |
33.3 |
33.3 |
44.4 |
|
Toilet |
1 |
11.1 |
11.1 |
55.6 |
|
Facilities |
2 |
22.2 |
22.2 |
77.8 |
|
Other |
2 |
22.2 |
22.2 |
100.0 |
|
Total |
9 |
100.0 |
100.0 |
|
Statistics |
||
Time_spend |
||
N |
Valid |
9 |
Missing |
0 |
Time_spend |
|||||
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
|
Valid |
less than 1 hour |
2 |
22.2 |
22.2 |
22.2 |
1-2 hour |
3 |
33.3 |
33.3 |
55.6 |
|
more than 2 hour |
4 |
44.4 |
44.4 |
100.0 |
|
Total |
9 |
100.0 |
100.0 |
|
Statistics |
||
Type_of_buying |
||
N |
Valid |
9 |
Missing |
0 |
Type_of_buying |
|||||
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
|
Valid |
Cloths |
2 |
22.2 |
22.2 |
22.2 |
Stationary |
2 |
22.2 |
22.2 |
44.4 |
|
Jewellery |
1 |
11.1 |
11.1 |
55.6 |
|
Electronics |
1 |
11.1 |
11.1 |
66.7 |
|
Food |
1 |
11.1 |
11.1 |
77.8 |
|
Other |
2 |
22.2 |
22.2 |
100.0 |
|
Total |
9 |
100.0 |
100.0 |
|
Statistics |
||
Availibility_of_products |
||
N |
Valid |
9 |
Missing |
0 |
Availibility_of_products |
|||||
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
|
Valid |
Yes |
4 |
44.4 |
44.4 |
44.4 |
No |
5 |
55.6 |
55.6 |
100.0 |
|
Total |
9 |
100.0 |
100.0 |
|
Statistics |
||
New_arrivals |
||
N |
Valid |
9 |
Missing |
0 |
New_arrivals |
|||||
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
|
Valid |
yes |
4 |
44.4 |
44.4 |
44.4 |
No |
5 |
55.6 |
55.6 |
100.0 |
|
Total |
9 |
100.0 |
100.0 |
|
Now let us see some cross tabulations for the given qualitative data.
Case Processing Summary |
||||||
|
Cases |
|||||
Valid |
Missing |
Total |
||||
N |
Percent |
N |
Percent |
N |
Percent |
|
Shopping_frequency * Reason_for_shopping |
9 |
100.0% |
0 |
0.0% |
9 |
100.0% |
Shopping_frequency * Reason_for_shopping Crosstabulation |
|||||||
Count |
|||||||
|
Reason_for_shopping |
Total |
|||||
Prompts: Buying and Browsing |
Convenience: Parking |
Product range quality price |
Staff: kowledgeable, polite, helpful |
other: Queues, cafe, lifts, toilets, facilities |
|||
Shopping_frequency |
weekly |
0 |
1 |
0 |
1 |
1 |
3 |
monthly |
1 |
1 |
2 |
1 |
0 |
5 |
|
Twice a year |
1 |
0 |
0 |
0 |
0 |
1 |
|
Total |
2 |
2 |
2 |
2 |
1 |
9 |
Case Processing Summary |
||||||
|
Cases |
|||||
Valid |
Missing |
Total |
||||
N |
Percent |
N |
Percent |
N |
Percent |
|
Shopping_frequency * Quality |
9 |
100.0% |
0 |
0.0% |
9 |
100.0% |
Shopping_frequency * Quality Crosstabulation |
|||||
Count |
|||||
|
Quality |
Total |
|||
Bad |
Good |
Better |
|||
Shopping_frequency |
weekly |
2 |
1 |
0 |
3 |
monthly |
0 |
3 |
2 |
5 |
|
Twice a year |
0 |
0 |
1 |
1 |
|
Total |
2 |
4 |
3 |
9 |
Case Processing Summary |
||||||
|
Cases |
|||||
Valid |
Missing |
Total |
||||
N |
Percent |
N |
Percent |
N |
Percent |
|
Shopping_frequency * Other_reason |
9 |
100.0% |
0 |
0.0% |
9 |
100.0% |
Shopping_frequency * Other_reason Crosstabulation |
|||||||
Count |
|||||||
|
Other_reason |
Total |
|||||
Cafe |
Lift |
Toilet |
Facilities |
Other |
|||
Shopping_frequency |
weekly |
0 |
1 |
1 |
1 |
0 |
3 |
monthly |
1 |
2 |
0 |
0 |
2 |
5 |
|
Twice a year |
0 |
0 |
0 |
1 |
0 |
1 |
|
Total |
1 |
3 |
1 |
2 |
2 |
9 |
Case Processing Summary |
||||||
|
Cases |
|||||
Valid |
Missing |
Total |
||||
N |
Percent |
N |
Percent |
N |
Percent |
|
Shopping_frequency * Time_spend |
9 |
100.0% |
0 |
0.0% |
9 |
100.0% |
Shopping_frequency * Time_spend Crosstabulation |
|||||
Count |
|||||
|
Time_spend |
Total |
|||
less than 1 hour |
1-2 hour |
more than 2 hour |
|||
Shopping_frequency |
weekly |
1 |
1 |
1 |
3 |
monthly |
1 |
2 |
2 |
5 |
|
Twice a year |
0 |
0 |
1 |
1 |
|
Total |
2 |
3 |
4 |
9 |
Case Processing Summary |
||||||
|
Cases |
|||||
Valid |
Missing |
Total |
||||
N |
Percent |
N |
Percent |
N |
Percent |
|
Shopping_frequency * Type_of_buying |
9 |
100.0% |
0 |
0.0% |
9 |
100.0% |
|
Type_of_buying |
Total |
||||||
Cloths |
Stationary |
Jewellery |
Electronics |
Food |
Other |
|||
Shopping_frequency |
weekly |
1 |
0 |
0 |
1 |
1 |
0 |
3 |
monthly |
1 |
2 |
0 |
0 |
0 |
2 |
5 |
|
Twice a year |
0 |
0 |
1 |
0 |
0 |
0 |
1 |
|
Total |
2 |
2 |
1 |
1 |
1 |
2 |
9 |
Case Processing Summary |
||||||
|
Cases |
|||||
Valid |
Missing |
Total |
||||
N |
Percent |
N |
Percent |
N |
Percent |
|
Shopping_frequency * Availibility_of_products |
9 |
100.0% |
0 |
0.0% |
9 |
100.0% |
Shopping_frequency * Availibility_of_products Crosstabulation |
||||
Count |
||||
|
Availibility_of_products |
Total |
||
Yes |
No |
|||
Shopping_frequency |
weekly |
0 |
3 |
3 |
monthly |
3 |
2 |
5 |
|
Twice a year |
1 |
0 |
1 |
|
Total |
4 |
5 |
9 |
Case Processing Summary |
||||||
|
Cases |
|||||
Valid |
Missing |
Total |
||||
N |
Percent |
N |
Percent |
N |
Percent |
|
Shopping_frequency * New_arrivals |
9 |
100.0% |
0 |
0.0% |
9 |
100.0% |
Shopping_frequency * New_arrivals Crosstabulation |
||||
Count |
||||
|
New_arrivals |
Total |
||
yes |
No |
|||
Shopping_frequency |
weekly |
1 |
2 |
3 |
monthly |
2 |
3 |
5 |
|
Twice a year |
1 |
0 |
1 |
|
Total |
4 |
5 |
9 |
Case Processing Summary |
||||||
|
Cases |
|||||
Valid |
Missing |
Total |
||||
N |
Percent |
N |
Percent |
N |
Percent |
|
Reason_for_shopping * Quality |
9 |
100.0% |
0 |
0.0% |
9 |
100.0% |
Reason_for_shopping * Quality Crosstabulation |
|||||
Count |
|||||
|
Quality |
Total |
|||
Bad |
Good |
Better |
|||
Reason_for_shopping |
Prompts: Buying and Browsing |
0 |
0 |
2 |
2 |
Convenience: Parking |
0 |
2 |
0 |
2 |
|
Product range quality price |
0 |
1 |
1 |
2 |
|
Staff: kowledgeable, polite, helpful |
1 |
1 |
0 |
2 |
|
other: Queues, cafe, lifts, toilets, facilities |
1 |
0 |
0 |
1 |
|
Total |
2 |
4 |
3 |
9 |
Case Processing Summary |
||||||
|
Cases |
|||||
Valid |
Missing |
Total |
||||
N |
Percent |
N |
Percent |
N |
Percent |
|
Reason_for_shopping * Other_reason |
9 |
100.0% |
0 |
0.0% |
9 |
100.0% |
|
Other_reason |
Total |
|||||
Cafe |
Lift |
Toilet |
Facilities |
Other |
|||
Reason_for_shopping |
Prompts: Buying and Browsing |
0 |
0 |
0 |
1 |
1 |
2 |
Convenience: Parking |
0 |
1 |
0 |
1 |
0 |
2 |
|
Product range quality price |
1 |
0 |
0 |
0 |
1 |
2 |
|
Staff: kowledgeable, polite, helpful |
0 |
1 |
1 |
0 |
0 |
2 |
|
other: Queues, cafe, lifts, toilets, facilities |
0 |
1 |
0 |
0 |
0 |
1 |
|
Total |
1 |
3 |
1 |
2 |
2 |
9 |
Case Processing Summary |
||||||
|
Cases |
|||||
Valid |
Missing |
Total |
||||
N |
Percent |
N |
Percent |
N |
Percent |
|
Reason_for_shopping * Time_spend |
9 |
100.0% |
0 |
0.0% |
9 |
100.0% |
Reason_for_shopping * Time_spend Crosstabulation |
|||||
Count |
|||||
|
Time_spend |
Total |
|||
less than 1 hour |
1-2 hour |
more than 2 hour |
|||
Reason_for_shopping |
Prompts: Buying and Browsing |
1 |
0 |
1 |
2 |
Convenience: Parking |
0 |
1 |
1 |
2 |
|
Product range quality price |
0 |
0 |
2 |
2 |
|
Staff: kowledgeable, polite, helpful |
1 |
1 |
0 |
2 |
|
other: Queues, cafe, lifts, toilets, facilities |
0 |
1 |
0 |
1 |
|
Total |
2 |
3 |
4 |
9 |
Case Processing Summary |
||||||
|
Cases |
|||||
Valid |
Missing |
Total |
||||
N |
Percent |
N |
Percent |
N |
Percent |
|
Reason_for_shopping * Type_of_buying |
9 |
100.0% |
0 |
0.0% |
9 |
100.0% |
|
Type_of_buying |
Total |
||||||
Cloths |
Stationary |
Jewellery |
Electronics |
Food |
Other |
|||
Reason_for_shopping |
Prompts: Buying and Browsing |
1 |
0 |
1 |
0 |
0 |
0 |
2 |
Convenience: Parking |
1 |
0 |
0 |
0 |
0 |
1 |
2 |
|
Product range quality price |
0 |
1 |
0 |
0 |
0 |
1 |
2 |
|
Staff: kowledgeable, polite, helpful |
0 |
1 |
0 |
0 |
1 |
0 |
2 |
|
other: Queues, cafe, lifts, toilets, facilities |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
|
Total |
2 |
2 |
1 |
1 |
1 |
2 |
9 |
Case Processing Summary |
||||||
|
Cases |
|||||
Valid |
Missing |
Total |
||||
N |
Percent |
N |
Percent |
N |
Percent |
|
Reason_for_shopping * Availibility_of_products |
9 |
100.0% |
0 |
0.0% |
9 |
100.0% |
Reason_for_shopping * Availibility_of_products Crosstabulation |
||||
Count |
||||
|
Availibility_of_products |
Total |
||
Yes |
No |
|||
Reason_for_shopping |
Prompts: Buying and Browsing |
1 |
1 |
2 |
Convenience: Parking |
0 |
2 |
2 |
|
Product range quality price |
2 |
0 |
2 |
|
Staff: kowledgeable, polite, helpful |
1 |
1 |
2 |
|
other: Queues, cafe, lifts, toilets, facilities |
0 |
1 |
1 |
|
Total |
4 |
5 |
9 |
Case Processing Summary |
||||||
|
Cases |
|||||
Valid |
Missing |
Total |
||||
N |
Percent |
N |
Percent |
N |
Percent |
|
Reason_for_shopping * New_arrivals |
9 |
100.0% |
0 |
0.0% |
9 |
100.0% |
Reason_for_shopping * New_arrivals Crosstabulation |
||||
Count |
||||
|
New_arrivals |
Total |
||
yes |
No |
|||
Reason_for_shopping |
Prompts: Buying and Browsing |
2 |
0 |
2 |
Convenience: Parking |
0 |
2 |
2 |
|
Product range quality price |
1 |
1 |
2 |
|
Staff: kowledgeable, polite, helpful |
0 |
2 |
2 |
|
other: Queues, cafe, lifts, toilets, facilities |
1 |
0 |
1 |
|
Total |
4 |
5 |
9 |
Case Processing Summary |
||||||
|
Cases |
|||||
Valid |
Missing |
Total |
||||
N |
Percent |
N |
Percent |
N |
Percent |
|
Quality * Other_reason |
9 |
100.0% |
0 |
0.0% |
9 |
100.0% |
Quality * Other_reason Crosstabulation |
|||||||
Count |
|||||||
|
Other_reason |
Total |
|||||
Cafe |
Lift |
Toilet |
Facilities |
Other |
|||
Quality |
Bad |
0 |
1 |
1 |
0 |
0 |
2 |
Good |
0 |
2 |
0 |
1 |
1 |
4 |
|
Better |
1 |
0 |
0 |
1 |
1 |
3 |
|
Total |
1 |
3 |
1 |
2 |
2 |
9 |
Case Processing Summary |
||||||
|
Cases |
|||||
Valid |
Missing |
Total |
||||
N |
Percent |
N |
Percent |
N |
Percent |
|
Quality * Time_spend |
9 |
100.0% |
0 |
0.0% |
9 |
100.0% |
Quality * Time_spend Crosstabulation |
|||||
Count |
|||||
|
Time_spend |
Total |
|||
less than 1 hour |
1-2 hour |
more than 2 hour |
|||
Quality |
Bad |
1 |
1 |
0 |
2 |
Good |
0 |
2 |
2 |
4 |
|
Better |
1 |
0 |
2 |
3 |
|
Total |
2 |
3 |
4 |
9 |
Case Processing Summary |
||||||
|
Cases |
|||||
Valid |
Missing |
Total |
||||
N |
Percent |
N |
Percent |
N |
Percent |
|
Quality * Type_of_buying |
9 |
100.0% |
0 |
0.0% |
9 |
100.0% |
Quality * Type_of_buying Crosstabulation |
||||||||
Count |
||||||||
|
Type_of_buying |
Total |
||||||
Cloths |
Stationary |
Jewellery |
Electronics |
Food |
Other |
|||
Quality |
Bad |
0 |
0 |
0 |
1 |
1 |
0 |
2 |
Good |
1 |
2 |
0 |
0 |
0 |
1 |
4 |
|
Better |
1 |
0 |
1 |
0 |
0 |
1 |
3 |
|
Total |
2 |
2 |
1 |
1 |
1 |
2 |
9 |
Quality * Availibility_of_products Crosstabulation |
||||
Count |
||||
|
Availibility_of_products |
Total |
||
Yes |
No |
|||
Quality |
Bad |
0 |
2 |
2 |
Good |
2 |
2 |
4 |
|
Better |
2 |
1 |
3 |
|
Total |
4 |
5 |
9 |
Quality * New_arrivals Crosstabulation |
||||
Count |
||||
|
New_arrivals |
Total |
||
yes |
No |
|||
Quality |
Bad |
1 |
1 |
2 |
Good |
0 |
4 |
4 |
|
Better |
3 |
0 |
3 |
|
Total |
4 |
5 |
9 |
Other_reason * Time_spend Crosstabulation |
|||||
Count |
|||||
|
Time_spend |
Total |
|||
less than 1 hour |
1-2 hour |
more than 2 hour |
|||
Other_reason |
Cafe |
0 |
0 |
1 |
1 |
Lift |
0 |
3 |
0 |
3 |
|
Toilet |
1 |
0 |
0 |
1 |
|
Facilities |
0 |
0 |
2 |
2 |
|
Other |
1 |
0 |
1 |
2 |
|
Total |
2 |
3 |
4 |
9 |
Other_reason * Type_of_buying Crosstabulation |
||||||||
Count |
||||||||
|
Type_of_buying |
Total |
||||||
Cloths |
Stationary |
Jewellery |
Electronics |
Food |
Other |
|||
Other_reason |
Cafe |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
Lift |
0 |
1 |
0 |
1 |
0 |
1 |
3 |
|
Toilet |
0 |
0 |
0 |
0 |
1 |
0 |
1 |
|
Facilities |
1 |
0 |
1 |
0 |
0 |
0 |
2 |
|
Other |
1 |
1 |
0 |
0 |
0 |
0 |
2 |
|
Total |
2 |
2 |
1 |
1 |
1 |
2 |
9 |
Other_reason * Availibility_of_products Crosstabulation |
||||
Count |
||||
|
Availibility_of_products |
Total |
||
Yes |
No |
|||
Other_reason |
Cafe |
1 |
0 |
1 |
Lift |
1 |
2 |
3 |
|
Toilet |
0 |
1 |
1 |
|
Facilities |
1 |
1 |
2 |
|
Other |
1 |
1 |
2 |
|
Total |
4 |
5 |
9 |
Other_reason * New_arrivals Crosstabulation |
||||
Count |
||||
|
New_arrivals |
Total |
||
yes |
No |
|||
Other_reason |
Cafe |
1 |
0 |
1 |
Lift |
1 |
2 |
3 |
|
Toilet |
0 |
1 |
1 |
|
Facilities |
1 |
1 |
2 |
|
Other |
1 |
1 |
2 |
|
Total |
4 |
5 |
9 |
Time_spend * Type_of_buying Crosstabulation |
||||||||
Count |
||||||||
|
Type_of_buying |
Total |
||||||
Cloths |
Stationary |
Jewellery |
Electronics |
Food |
Other |
|||
Time_spend |
less than 1 hour |
1 |
0 |
0 |
0 |
1 |
0 |
2 |
1-2 hour |
0 |
1 |
0 |
1 |
0 |
1 |
3 |
|
more than 2 hour |
1 |
1 |
1 |
0 |
0 |
1 |
4 |
|
Total |
2 |
2 |
1 |
1 |
1 |
2 |
9 |
Time_spend * Availibility_of_products Crosstabulation |
||||
Count |
||||
|
Availibility_of_products |
Total |
||
Yes |
No |
|||
Time_spend |
less than 1 hour |
0 |
2 |
2 |
1-2 hour |
1 |
2 |
3 |
|
more than 2 hour |
3 |
1 |
4 |
|
Total |
4 |
5 |
9 |
Time_spend * New_arrivals Crosstabulation |
||||
Count |
||||
|
New_arrivals |
Total |
||
yes |
No |
|||
Time_spend |
less than 1 hour |
1 |
1 |
2 |
1-2 hour |
1 |
2 |
3 |
|
more than 2 hour |
2 |
2 |
4 |
|
Total |
4 |
5 |
9 |
Type_of_buying * New_arrivals Crosstabulation |
||||
Count |
||||
|
New_arrivals |
Total |
||
yes |
No |
|||
Type_of_buying |
Cloths |
1 |
1 |
2 |
Stationary |
0 |
2 |
2 |
|
Jewellery |
1 |
0 |
1 |
|
Electronics |
1 |
0 |
1 |
|
Food |
0 |
1 |
1 |
|
Other |
1 |
1 |
2 |
|
Total |
4 |
5 |
9 |
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