Marketing Research Method – Data Analysis With SPSS Software Research Paper

Exclusively available on IvyPanda Available only on IvyPanda
Updated: Apr 3rd, 2024

Executive summary

This is a report on the data analysis carried out in an attempt to understand more about the reasons why people travel to Yarragon village and the kind of activities that they engage in when they are there as well as the experiences that they go through during their stay.

We will write a custom essay on your topic a custom Research Paper on Marketing Research Method – Data Analysis With SPSS Software
808 writers online

The report is presented through a format where data analysis is carried out and the results presented in a chapter named results of data analysis, then the discussions on the data analysis results are carried out and this is followed by a section the conclusions that the researcher arrived at after carrying out data analysis and finally a section on the recommendations made on the basis of the results of the data analysis is presented.

The data analysis was carried out with the aid of the Statistical Package for Social Sciences (SPSS) and the results are presented though the use of frequency tables.

The analysis involved the determination of the respondents’ profiles through an analysis of the demographic characteristics of the sample such as their age, gender, family composition and the country from which they come from.

This was important in that it helped the researcher to know whether the selected sample was representative of the entire target population.

Other demographic characteristics that were tested were the mode of transport that was used to travel to the village and also the method that the respondents used to get information about the village and its tourist destination.

The respondents were also requested to state the reasons as to why they visited the village and this was intended to answer the research questions about what made people visit the village and what experiences they had while on the visit.

1 hour!
The minimum time our certified writers need to deliver a 100% original paper

The researcher also wanted to know whether the visitors were travelling in a group all alone and if in a group, the number of people in those groups.

Finally, the researcher carried out a correlation analysis and also tested two hypotheses which were aimed at helping him to answer the overall research questions.

The main results of the study showed that most of the variables tested in the study had a correlation at significant levels of 0.001 and 0.005.

The results also revealed that the hypotheses that were tested were true and these were that the purpose of visit differed across gender and that the intention to return to the village differed across gender.

The study concludes that there are various reasons which influence people to visit the village and these reasons are mostly personal.

The study also concludes that it is important to understand the different attributes of visitors in order to be able to segment them in to groups that can be specifically targeted for particular packages.

The study recommends that it the tourist attractions in the village should ensure that they practice segmentation as well as other forms of marketing in order to ensure continuous flow of visitors to the village.

Remember! This is just a sample
You can get your custom paper by one of our expert writers

This research will contribute to the knowledge of tourism management since managers and academicians in this area will be able to understand what factors affect customer’s decision to visit a particular place.

Demographic results

Age of respondents

The researcher sought to know the age of the respondents in the study. The results are presented in the table below

Age group
FrequencyPercentValid PercentCumulative Percent
Valid15-24 yrs204.74.84.8
25-34 yrs317.37.412.2
35-44 yrs4811.211.523.7
45-54 yrs7617.818.242.0
55-64 yrs13631.932.674.6
65-74 yrs8319.419.994.5
75 yrs or over235.45.5100.0
Total41797.7100.0
MissingSystem102.3
Total427100.0

The results presented above show that a majority (32.6%) of the respondents were between the ages of 55-64 years, 19.9% were between 65-74 years, 18.2% were between 45-54 years, 11.5% between the ages of 35-44 years, 7.3% between the ages of 25-34 years, 5.4% were 75 years and above while another 4.7% were between the ages of 15-24 years.

Gender of respondents

The researcher sought to know the gender of the respondents. The results are presented in the table below.

Gender
FrequencyPercentValid PercentCumulative Percent
ValidMale16438.439.739.7
Female24958.360.3100.0
Total41396.7100.0
MissingSystem143.3
Total427100.0

The results show that a majority (60.3%) of the respondents were female while the other 39.7% were male. This is in line with the census data from the local state which shows that the number of women is much more than the number of women in the population.

Family composition

The researcher sought to know the family composition of the respondents. The results are presented in the table below.

Family composition at home
FrequencyPercentValid PercentCumulative Percent
ValidLive alone6114.314.814.8
Shared house with no children (e.g. friends)368.48.823.6
Couple without children at home21149.451.374.9
Couple or single adult with children under 16 years6815.916.591.5
Other358.28.5100.0
Total41196.3100.0
MissingSystem163.7
Total427100.0

The results presented above show that a majority (49.4%) of the respondents were couples without children at home while another 15.9% of the respondents were couples or singles with children who were under the age of 16 years.

Another 14.3% of the respondents lived alone and 8.4% shared houses. This shows that the village attracts the old people more than the middle aged and the young. Measures should be put in place to ensure that all age groups are attracted to the village in order to increase the number of visitors.

We will write
a custom essay
specifically for you
Get your first paper with
15% OFF

Country of origin

The researcher sought to know the country of origin of the respondents. The results are presented in the table below

Country
FrequencyPercentValid PercentCumulative Percent
ValidAustralia39191.698.598.5
New Zealand2.5.599.0
Belgium1.2.399.2
Holland1.2.399.5
England2.5.5100.0
Total39793.0100.0
MissingSystem307.0
Total427100.0

The results presented above show that a majority (98.5%) of the respondents were from Australia.

This means that most of the visitors to the village are locals and therefore there is need to put up measures to attract more foreign visitors to the village as this will increase the revenue brought to the village and consequently improve the living standards of the locals.

Reason for visiting Yarragon village

The researcher wanted to know the reason why the respondents visit the village. The results are presented in the table below

Reason for visiting Yarragon
NResponsesPercentPercent of Cases
$Question_2aRest stop12318.8%29.5%
VFR497.5%11.8%
F&B20831.8%49.9%
Leisure223.4%5.3%
Shopping11217.1%26.9%
Arts & Galleries7110.9%17.0%
Sightseeing182.8%4.3%
Sports
Business172.6%4.1%
Other345.2%8.2%
Total654100.0%156.8%

The results from the table above reveal that a majority (31.8%) of the respondents visited the village for the consumption of foods and beverages.

Another 18.8% of the respondents visited the village for a rest during trips, 17.1% for shopping purposes, 10.9% to view arts and galleries, 7.5% to visit friends and relatives, 5.2 % for other unspecified reasons, 3.4% for leisure activity, 2.8% for sightseeing and 2.6% for business persons.

This could be attributed to the fact that most of the visitors to the village are local and they therefore visit the village to have meals while in the course of other duties.

It also means that the villagers should increase their investments on tourist attractions in order to increase the number of visitors who come for such purposes.

Frequency of visiting Yarragon

The researcher wanted to know how often the respondents visited Yarragon village. The results are presented in the table below

Frequency of visiting

FrequencyPercentValid PercentCumulative Percent
ValidWeekly7317.124.524.5
Monthly11827.639.664.1
Once a year7517.625.289.3
Every few years327.510.7100.0
Total29869.8100.0
MissingSystem12930.2
Total427100.0

The results presented in the table above show that a majority (39.6%) of the respondents visited the village monthly, 25.2% visited the village once a year, 24.5% visited the village weekly while 10.7% visited the village every few years.

Whether visiting Yarragon Village was primary purpose of visit

The researcher wanted to know whether visiting Yarragon village was the primary purpose of the visit. The results are presented in the table below

Visit YV primary purpose
FrequencyPercentValid PercentCumulative Percent
ValidYes15937.238.538.5
No25459.561.5100.0
Total41396.7100.0
MissingSystem143.3
Total427100.0

The results show that the visiting the village was the primary purpose of 38.5% of the respondents. The rest 61.5% of the respondents only visited the village as a secondary destination.

This could be due to the fact that most of the visitors to the village are local people and therefore they may decide to visit the village while in the course of other duties.

Form of transportation used

The researcher sought to know the form of transportation used by the respondents. The results are presented in the table below

Transportation used
FrequencyPercentValid PercentCumulative Percent
ValidSelf-drive39692.793.693.6
Commercial bus or coach1.2.293.9
Train92.12.196.0
Other153.53.599.5
112.5.5100.0
Total42399.1100.0
MissingSystem4.9
Total427100.0

The results presented above show that a majority 93.6% of the respondents used self drive means of transportation to reach the village. Other means that were used include train services with 2.1% and commercial buses with 0.2%.

Traveling in a travel group

The researcher sought to know whether the respondents travelled in a travel group. The results are presented in the table below

Travel Group
FrequencyPercentValid PercentCumulative Percent
ValidAlone9923.223.323.3
Spouse or partner15235.635.859.2
Family10624.825.084.2
Friends6615.515.699.8
221.2.2100.0
Total42499.3100.0
MissingSystem3.7
Total427100.0

The results show that 35.8% of the respondents travelled with their spouses or partner, 25% travelled with family members, 23.3% travelled alone while another 15.6% travelled with their friends.

Expected length of stay

The researcher sought to know the length of stay of the respondents. The results are presented in the table below

Expected length of stay
FrequencyPercentValid PercentCumulative Percent
ValidLess than 1 hour18944.345.145.1
One to 3 hours19846.447.392.4
3 to 5 hours174.04.196.4
Overnight51.21.297.6
Multiple nights102.32.4100.0
Total41998.1100.0
MissingSystem81.9
Total427100.0

The results presented above show that 47.3% of the respondents stayed in the village for a period of between 1-3 hours while another 45.1% stayed in the village for a period of less than 1 hour.

Source of information about village

The researcher sought to know where the respondents got the information about the village from. The results are presented in the table below

Source of information
NResponsesPercentPercent of Cases
$Q13aNothing30978.0%81.3%
Yarragon brochure/ pamphlet215.3%5.5%
Visitor Information Centre61.5%1.6%
Advice from friend or relatives379.3%9.7%
Yarragon website20.5%0.5%
Internet search82.0%2.1%
Facebook
Other133.3%3.4%
Total396100.0%104.2%

The results show that 78% of the respondents did not seek for information about the village from any source. Another 9.3% of the respondents were advised to visit the village by their friends.

Overall satisfaction

The researcher sought to know the level of satisfaction that the respondents got from visiting the village. The results are presented in the table below

Overall satisfaction
FrequencyPercentValid PercentCumulative Percent
ValidVery unsatisfied133.03.13.1
Neither satisfied or unsatisfied2.5.53.6
Satisfied14634.235.238.8
Very satisfied25259.060.799.5
71.2.299.8
441.2.2100.0
Total41597.2100.0
MissingSystem122.8
Total427100.0

The results show that 60.7% of the respondents were very satisfied with the visit while another 35.2% were satisfied with the visit.

Correlation results

The correlation results show that all the variables correlate at a 0.001 significant level. The researcher also tested two hypotheses, H2: Purpose of visit differs with gender, H3; Intention to return differs with gender. According to the results, the two hypotheses hold.

Conclusions and recommendations

This section presents the conclusions and recommendations of the study based on the results presented above. Conclusions based on the results as well as other relevant literatures are first presented and finally, recommendations are made based on these conclusions.

Conclusions

This study was aimed at testing the reasons why people visited Yarragon villages and the factors that influenced the duration of stay and whether they would make another visit in future.

These conclusions are important since they can be used by the operators of tourism attractions in the village to attract more visitors to the village as well as ensure that visitors make return visits to the village.

Segmentation of visitors

Customer or market segmentation involves a situation where a company divides the market into segments of customers who have common needs or have other common attributes which may influence them to behave in a common way with regards to a particular product.

Segmentation allows a company to design and implement marketing strategies directed at specific groups of people and these strategies are designed on the basis of their needs.

This ensures that the marketing strategies of the company are more effective in terms of attracting more customers as well as maintaining old ones.

Segmentation can be done on the basis of geographical distribution, gender, age, income levels, and country of origin as well as family composition (Kotler & Keller, 2006).

In relation to age, the results of the study showed that (32.6%) of the respondents were aged between 55-64 years, 19.9% aged between 65-74 years, 18.2% between 45-54 years, 11.5% between 35-44 years, 7.3% between 25-34 years, 5.4% were 75 years and above while another 4.7% were between 15-24 years.

This means that the management of the tourist attractions in the village could segment the visitors in terms of age groups and therefore be able to provide the best services for each age group.

This is due to the fact that people of different ages have different tastes and preferences and should therefore be treated differently.

This also means that the management of tourist attractions in the village should develop different packages for the different age groups as they will enjoy different things.

In terms of gender, the results show that a majority (60.3%) of the respondents were female while the other 39.7% were male. This is in line with the census data from the local state which shows that the number of women in the population is much more than the number of women.

It is important to note that gender is a major factor which is used in segmentation due to the fact that people of different gender normally have different perspectives on issues such as tourist destinations and fun activities.

The country of origin is another factor which is commonly used in the segmentation process as people from different countries may have different views on tourist attractions.

The results of the study show that almost all (98.5% the respondents were from Australia. This therefore means that in this case, country of origin cannot be used as a segmentation factor.

Another factor which can be used for segmentation purposes in this case is the respondents’ family composition at home.

This factor is important due to the fact that family composition at home will normally determine the extent to which a visitor will stay in the village and will also determine the amount of money the customer is willing to spend in eh tourist destination.

This is attributed to the fact that if a visitor is a married person, they may opt to stay at the tourist destination for a shorter time than single people. Another dimension is that a visitor with a family may only want to spend a limited amount of money due to other family responsibilities.

Understanding the family composition of the visitors is therefore an important step in ensuring that the tourist destination designs various packages that are suited for all the visitors where specific attractions and packages should be designed to attract people of particular social status.

Marketing

It is important for companies and tourist destinations to develop strategic marketing plans to ensure that they market their products to the customers in a manner that will ensure customers continue increasing and that customers are retained in the company.

In the case of the village, marketing mangers of the different tourist attractions developed various marketing programs and these are based on various characteristics of the visitors being targeted. This targeting can be done based on various attributes of the target customers.

In the case of this study, the marketing managers of such tourist attractions can focus on areas such as the reasons why the visitors normally visit the village.

This would be important in order to be able to understand the various reasons that lead visitors to come to the village and therefore market the village using these reasons.

The results of this study showed that a majority (31.8%) of the respondents visited the village for the consumption of foods and beverages.

Another 18.8% of the respondents visited the village for a rest during trips, 17.1% for shopping purposes, 10.9% to view arts and galleries, 7.5% to visit friends and relatives, 5.2 % for other unspecified reasons, 3.4% for leisure activity, 2.8% for sightseeing and 2.6% for business persons.

Marketing activities have been used in various companies to ensure that customers make increased purchases of their products or makes increased visits to the company.

This can also be possible in the case of the village as the marketing managers can engage in marketing activities in order to ensure that they increase the number of times that the visitors come to visit the village every year.

This will ensure an increase in the earnings that the tourist attractions earn from these visitors (Joshi, 2005).

The results of this study show that a majority (39.6%) of the respondents visited the village monthly, 25.2% visited the village once a year, 24.5% visited the village weekly while 10.7% visited the village every few years.

Marketing initiatives can also be used to ensure that visiting the village becomes the primary purpose of most of the visitors to the area. This will help to ensure that the village tourist attractions receive more visitors every year therefore more revenues.

The results of this study show that the village was the primary purpose of 38.5% of the respondents. The rest 61.5% of the respondents only visited the village as a secondary destination.

This shows that there is need for increased marketing activities to ensure more intended visits to the village. Such initiatives would be expected to convince more visitors to choose the village as their number one tourist destination.

Place as a marketing mix strategy

Marketers also use place as a strategy to ensure that customers purchase their products or use their services. This strategy is used where the product or service is made available for the customers at the right place where it can be reached or accessed with ease.

In the case of this study, place as a strategy can be used through providing transportation means for visitors due to the fact that not all customers are able to afford the cost of taking themselves to the village.

The results of this study show that a majority 93.6% of the respondents used self drive means of transportation to reach the village.

Other means that were used include train services with 2.1% and commercial buses with 0.2%. offering transportation services would also lead to the number of visitors increasing as a result of the perception that it is easy to access the village at a lower cost than when using their own cars.

Recommendations

There are various recommendations that this study made based on the results discussed above. All the recommendations are intended to increase the number of visitors to the village every year and at the same time increase the length of stay and frequency of visits by customers.

The management of the tourist attractions in the village should ensure that they develop segmentation strategies which will be aimed at identifying the various segments of the visitors and their specific needs.

This will ensure that the tourist attractions develop various packages in an attempt to target and attract particular groups of people.

This strategy will ensure that visitors are satisfied with what they are offered and therefore make return trips to the village and at the same time, influence their friends and relatives to visit the village and experience the good packages offered.

It is also important for the management of these tourist attractions to engage in more marketing activities in order to ensure that the village receives more visitors and also to ensure that a lot of potential visitors are made aware of the tourist attractions that the village offers in an effective way.

This research will contribute to the knowledge of tourism management since managers and academicians in this area will be able to understand what factors affect customer’s decision to visit a particular place.

References

Joshi, R.M. (2005). International Marketing. Oxford University Press: New Delhi.

Kotler, P. & Keller, K.L. (2006). Marketing Management. Prentice Hall: London.

Appendices

Hypothesis results

Independent Samples Test
Levene’s Test for Equality of Variancest-test for Equality of Means
FSig.tdfSig. (2-tailed)Mean DifferenceStd. Error Difference95% Confidence Interval of the Difference
LowerUpper
Visit YV primary purposeEqual variances assumed4.896.0271.081398.281.054.050-.044.152
Equal variances not assumed1.086351.614.278.054.049-.044.151
Intend to return to YVEqual variances assumed.517.472-.351394.726-.020.056-.129.090
Equal variances not assumed-.413329.352.680-.020.047-.113.074

Correlation results

Correlations
ResidencePostcodeCountryFirst VisitF&BHow often visitWhere trip started (home if same as Q1)Location of trip startWhere trip finished (home if same as Q1)Location of trip finishVisit YV primary purposeTransportation usedTravel GroupNumber in travel groupNumber less than 16yoExpected length of stayIntend to return to YVSpending – RetailSpending – AccommodationSpending – Food and BeverageOverall satisfactionAge groupGenderFamily composition at home
ResidencePearson Correlation1
Sig. (2-tailed)
N413
PostcodePearson Correlation0.0051
Sig. (2-tailed)0.922
N409418
CountryPearson Correlation0.007-.300**1
Sig. (2-tailed)0.8950
N384390397
First VisitPearson Correlation-.107*0.016-.243**1
Sig. (2-tailed)0.0310.7480
N406411391419
F&BPearson Correlation-0.079-0.05-0.0120.0261
Sig. (2-tailed)0.2640.470.8730.714
N202207194206210
How often visitPearson Correlation.185**-.321**.163**-0.07-0.0681
Sig. (2-tailed)0.00200.0070.2320.414
N290293276295147298
Where trip started (home if same as Q1)Pearson Correlation.151**-0.031.116*-.195**-0.05.210**1
Sig. (2-tailed)0.0020.5330.02200.4670
N411415394416210297423
Location of trip startPearson Correlation.725**-0.063-0.0630.048-0.069.159**01
Sig. (2-tailed)00.20.2140.3340.3180.0060.99
N410413391413209295420420
Where trip finished (home if same as Q1)Pearson Correlation.194**-.157**.149**-.158**0.038.224**0.050.091
Sig. (2-tailed)00.0010.0030.0010.58700.340.08
N412415394416209297422419423
Location of trip finishPearson Correlation.571**-0.024-0.067-0.079-0.0520.10.07.515**-0.0261
Sig. (2-tailed)00.6220.1890.1080.4520.0870.1400.593
N409411390412208296418417419419
Visit YV primary purposePearson Correlation.181**-.104*-0.087-0.039-0.013.262**.210**.174**.385**.160**1
Sig. (2-tailed)00.0360.0880.4290.85600000.001
N401405385408204292411408411407413
Transportation usedPearson Correlation-0.0570.09-0.0230.022-0.022-0.084-0.07-0.06-.106*-0.045-.192**1
Sig. (2-tailed)0.2460.0660.6530.6560.750.1490.130.220.030.3620
N410415394416210297420417420416411423
Travel GroupPearson Correlation0.010.0130.064-0.064-0.0840.0640.0100.0090.018-0.038.343**1
Sig. (2-tailed)0.8330.790.2010.1950.2280.2740.810.950.8520.720.4390
N411416395417209296421418421417411421424
Number in travel groupPearson Correlation0.093-0.0140.013-0.053-0.122.155**0.070.070.0050.047-0.013-0.033.405**1
Sig. (2-tailed)0.0630.7820.8040.280.080.0080.150.150.9150.3450.7930.5030
N405410390411208294415412415411406417417418
Number less than 16yoPearson Correlation-0.144-0.153.b-0.215.b-0.2290.15-0.2-0.065-0.117-0.1670.214-0.3.413**1
Sig. (2-tailed)0.3450.31700.1600.2080.340.180.6690.4480.2960.1590.070.01
N454543442332454545444145454345
Expected length of stayPearson Correlation-.111*-0.027.134**-0.0770.049-0.008-.111*-.098*-0.058-.163**-.354**0.072-00.02-0.161
Sig. (2-tailed)0.0250.5850.0080.1180.4810.8940.020.050.2370.00100.1420.60.720.314
N40641139141320729541641341641240841841741344419
Intend to return to YVPearson Correlation0.038-0.0320.055-0.098-0.0170.0030.070.01.108*0.010.072-0.008-0-0.030.128-0.071
Sig. (2-tailed)0.4490.5220.2850.050.8140.9610.150.830.030.8370.1540.8680.650.60.4150.166
N39440037940020229140440240339939540540440143403406
Spending – RetailPearson Correlation0.0860.080.0150.032-0.1070.063-0.040.09-0.0110.123-0.0490.1-0.1-0.04-0.110.036-01
Sig. (2-tailed)0.2560.2890.8450.6660.3270.4770.60.260.8840.1030.5210.1820.130.560.6980.6290.7
N1761781671798613017917817917817517917917915179176180
Spending – AccommodationPearson Correlation-0.2140.042.b-0.138.b.b-0.07-.730*-0.3320.094-0.332.b0.310.53.b-0.b0.671
Sig. (2-tailed)0.5790.92100.724.00.870.040.3820.8110.38200.410.14.0.99100.15
N9889038899999909769
Spending – Food and BeveragePearson Correlation0.040.045-0.02-.155**-0.0830.053-0.050.04-0.03-0.076-0.078.158**-00.11-0.06.434**-00.160.6411
Sig. (2-tailed)0.4920.4340.7420.0070.2820.4360.410.50.6050.1890.1820.0060.940.050.70700.60.10.087
N298302288302170221305303305301298306306305373032931148307
Overall satisfactionPearson Correlation-0.0070.013-0.040.067-0.005-0.051-0.050.010.030.005-0.0110.0940.010.304*.185**-00.09-0.129-0.031
Sig. (2-tailed)0.8930.7950.4350.1750.9450.3840.270.870.550.920.820.0560.920.990.04200.90.240.7420.604
N402408388408205293412409412408403413413408454103981799305415
Age groupPearson Correlation-0.020.0030.0710.058-0.001-0.055-0.04-0.04-0.0060.005-0.063-0.004-0-0.020.291-0.040-0.030.072-0-0.0731
Sig. (2-tailed)0.6940.9580.1640.2420.9890.3490.450.420.9050.9180.2050.9390.610.670.0520.47210.740.8540.9790.139
N404410390410206293414411414410404414415409454113981809305413417
GenderPearson Correlation-0.0270.086-0.0460.0490.0840.062-0.04-0-0.048-0.053-0.054-0.0450.010.07-.315*0.00800.020.572-0.030.035-.166**1
Sig. (2-tailed)0.5930.0850.3630.3250.2350.2960.470.930.3360.2880.2810.3610.810.140.0370.8770.70.820.1380.6520.490.001
N400406385406201290410407410406400410411406444063961768299403406413
Family composition at homePearson Correlation0.047-0.051-.167**0.0160.0560.0230.030.09-0.0840.026-0.047-0.0040.06.116*-0.280.05900.030.0860.090.079-.284**.168**1
Sig. (2-tailed)0.3520.3050.0010.7540.4290.6980.60.080.0910.6040.3480.9410.250.020.0680.2350.90.710.8250.120.10900.001
N399404384404201288409406409405399408409403444053921779301407410400411
* Correlation is significant at the 0.05 level (2-tailed).
** Correlation is significant at the 0.01 level (2-tailed).
b Cannot be computed because at least one of the variables is constant.
Print
Need an custom research paper on Marketing Research Method – Data Analysis With SPSS Software written from scratch by a professional specifically for you?
808 writers online
Cite This paper
Select a referencing style:

Reference

IvyPanda. (2024, April 3). Marketing Research Method - Data Analysis With SPSS Software. https://ivypanda.com/essays/marketing-research-method-data-analysis-with-spss-software/

Work Cited

"Marketing Research Method - Data Analysis With SPSS Software." IvyPanda, 3 Apr. 2024, ivypanda.com/essays/marketing-research-method-data-analysis-with-spss-software/.

References

IvyPanda. (2024) 'Marketing Research Method - Data Analysis With SPSS Software'. 3 April.

References

IvyPanda. 2024. "Marketing Research Method - Data Analysis With SPSS Software." April 3, 2024. https://ivypanda.com/essays/marketing-research-method-data-analysis-with-spss-software/.

1. IvyPanda. "Marketing Research Method - Data Analysis With SPSS Software." April 3, 2024. https://ivypanda.com/essays/marketing-research-method-data-analysis-with-spss-software/.


Bibliography


IvyPanda. "Marketing Research Method - Data Analysis With SPSS Software." April 3, 2024. https://ivypanda.com/essays/marketing-research-method-data-analysis-with-spss-software/.

Powered by CiteTotal, easy essay citation maker
If you are the copyright owner of this paper and no longer wish to have your work published on IvyPanda. Request the removal
More related papers
Cite
Print
1 / 1