Marketing Strategies of Travel Agencies: a quantitative Approach
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| 5. Research Results In the data processing and analysis, we have identified and selected a series of correlations, more precisely 217 valid ones (Chi-Square < 0.05). The Chi-Square test is a statistical test that compares the observed results with predicted results. It shows the di fferences between observed data and expected data, the measure in which these di fferences are due to chance or due to a strong relationship between the studied variables. Thus, the Chi-Square test is an excellent choice in helping us understand and better interpret a connection between the two categories of variables. Sustainability 2020, 12, 10660 10 of On this basis, we wanted to analyze each question separately, through answer distribution, and by correlating it with other questions, in the casein which the Chi-Square test shows the fact that there is some degree of homogeneity in the respective table. Therefore, we have chosen 7 correlations for analysis, those most significant ranked by their homogeneity coefficient, which shows us a stronger relation the closer it is to Through this endeavor, an important comparison can be made between the results obtained through this research study and the results obtained in future research studies that target the tourism product consumers. The analysis of the information has been structured in conformity with the research objectives: grouped sales in accommodation services, tourism services specific discounts, grouped sales in associating accommodation services with eating services, free offers, and the degree of sales promotion utilization by the travel agencies. Download 292.13 Kb. Share with your friends:
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