Global Journal of Human Social Science, C: Sociology and Culture, Volume 23 Issue 2

Now we present the analysis of the data found: Principal Component Analysis (PCA) is a statistical technique for multi-varied verification that was utilized for an exploratory reading of the responses. The conclusion based on the graphical analysis of Figure 1 is that, as the first factor appears highlighted, the instrument is unidimensional, that is, the 14 items related to violence measure a single construct which, in this case, is how exposed someone is to violence. It is a declivity diagram, plotted with the aid of the SPSS computer program, with the number of factorial components extracted. Source: produced by the authors Figure 1: Principal Component Analysis Kaiser-Meyer-Olkin (KMO) test indicates the proportion of variance of data that may be assigned to a common factor. The test resulted in a KMO of 0.860 and values close to 1 indicate that the sample is adequate for factorial analysis (DEVORE, 2015). To measure the test’s reliability, Cronbach’s alpha was utilized, an indicator of the internal consistency of the test or, in other words, how much the questionnaire items are correlated. For the research’s case, Cronbach’s alpha was 0.767 and this value corresponds to the average of correlations among the instrument’s items and may vary between 0 and 1, with an acceptable result for values close to or higher than 0.60 (HAIR; ANDERSON; TATHAM, 2009). The grades 0 through 14 are the sum of the positive responses for the 9 questions about discrimination and the 5 questions about aggression and it is a score of the violence suffered/perceived by the subjects. A scale going from VERY LOW to VERY HIGH was arbitrated in compliance with the indicator of violence and Table 2 contains the tabulated results. Table 2: Main results tabulated Very low Low Medium High Very high TOTAL 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Age bracket Heterosexual 30 years or less 32 5 2 1 1 41 over 30 years 15 1 1 1 18 LGBTQIA+ 30 years or less 29 14 12 26 30 21 14 22 8 10 4 1 1 192 over 30 years 12 4 2 2 7 3 2 1 4 1 2 2 42 Color (IBGE) Heterossexual white 18 3 1 1 23 non-white 29 3 2 2 36 LGBTQIA+ white 20 8 6 10 19 9 6 10 4 8 3 1 1 105 non-white 21 10 8 18 18 15 10 13 8 3 3 2 129 Reli gion Heterosexual Religious 18 2 1 2 23 not religious 29 4 2 1 36 LGBTQIA+ religious 16 8 3 5 18 5 8 7 8 3 2 1 1 85 not religious 25 10 11 23 19 19 8 16 4 8 4 2 149 Edu cation Heterosexual High-school or lower 18 3 1 1 1 24 Higher-education 29 3 2 1 35 LGBTQIA+ High-school or lower 23 11 8 19 18 11 8 9 2 3 2 1 115 © 2023 Global Journals Volume XXIII Issue II Version I 51 ( ) Global Journal of Human Social Science - Year 2023 C Sexuality and Violence: Analysis of a LGBT Citizenship Parade in Campo Grande-MS