**2. Materials and Methods**

This paper has an exploratory, descriptive character with a predominantly quantitative approach. Quantitative research understands the reality based on the analysis of raw data, collected from standardized and neutral instruments. Unlike qualitative research, quantitative research understands that everything can be measurable, that is, to demonstrate the opinions and information collected in numbers. This type of research focuses on objectivity [50–52]. This study was developed in four stages, a documentary and bibliographic review, referring to the research theme; data collection and methodology; analysis of the collected data; and, finally, the discussion and conclusion.

The first stage used the bibliographic and documentary review as a technical procedure in order to support the research, in addition to supporting the construction of the data collection instrument. The second stage, characterized by data collection, was performed through the Focus project and carried out by Publicity and Advertising students at the Regional University of Blumenau (FURB). They used the stratification in the 36 neighborhoods of the city of Blumenau, Santa Catarina, Brazil, as a sampling technique.

The data collection took place between the 3rd and 16th of September 2019 through the application of a structured self-filling questionnaire, composed of two dimensional analysis: the subjective well-being of residents (three items) and the overtourism feeling (three items), which were extracted from the study by Yolal et al. [9]. The six variables were measured with staggered responses of agreement and importance (not at all satisfied, not very satisfied, neither satisfied nor dissatisfied, or indifferent, satisfied, and very satisfied).

The survey, which adopted a 95% confidence interval and a 5% error margin, covered the population of Blumenau aged 16 years and over. A sample of 400 respondents was selected, segmented by sex (200 men and 200 women), age group (from 16 to 34 years, from 35 to 59 years, and 60 years or more) and average income (up to R\$ 3000, from R\$ 3001 to R\$ 8000, and over R\$ 8000).

Descriptive and multivariate statistical treatments were applied in order to measure the relationships between the variables analyzed, according to the proposed objective. This way, Microsoft Office Excel Software was used in the process of tabulation of the collected data, and later IBM SPSS Statistics 25 was used for the analysis of the results. For the analysis, we used simple descriptive statistics: through frequencies and averages and multivariate techniques, univariate analysis of variance (ANOVA), and Mann–Whitney in order to find statistically significant differences between the groups analyzed.
