Later, a huge execution was carried out to satisfy the latest aims off this study. Participants about standard populace were enjoy to participate, additionally the survey is actually disseminated into the a social network system, appealing every one of these who have been curious to accomplish it and you may encouraging these to spread out it amongst their associations.
One-means ANOVA analyses shown extreme differences between the various teams according on the version of matchmaking, depending on the created variable regarded the full rating of one’s close love myths size [F
Players have been or had been within the a beneficial consensual low-monogamous affective intimate dating was in fact intentionally anticipate to become listed on, with the objective of obtaining an extensive attempt of people who could relate such as this.
This process called for look personnel making early in the day experience of those people whom addressed these types of on the web rooms to describe this new objectives of your own search and you may recommend inviting the players. Eventually, the new means was used from the teams Poliamor Catalunya, Poliamor Chile, Golfxs scam Principios, Poliamor Salamanca, Alchimia Poliamor Chile, Poliamor Espana, and you will Poliamor Valencia. Regarding your moral shelter, the participants offered the told concur before the administration regarding new instrument. Until the applying of the fresh new questionnaire, the players given informed concur, which was made for the purposes of this research. The new document takes into account new norms and you will requirements recommended because of the Password out of Ethics of the Western Mental Connection as well as the Singapore Declaration, ensuring the latest well-are of one’s participants, its volunteer involvement, privacy, and you will privacy.
Study Study
We first analyzed the factorial structure of the scale of myths of romantic love, for which the sample was divided into two groups. With the first subsample, exploratory factor analysis (EFA) was carried out to identify the underlying structure of the data, using principal components and Varimax rotation as a method of extraction. Straightaway, we carried out a confirmatory factor analysis (CFA) with the remaining 50% of the sample to confirm the factor structure proposed by the EFA. To estimate the goodness of fit of the model, we used chi-square (? 2 ) not significant, the Comparative Fit Index (CFI > 0.95), the RMSEA ( 0.95), and the SRMR ( 2 ) was used for ANOVA. According to Cohen (1988), the reference values for d are: 2 , the values proposed by Cohen (1988) are: 2 (SB) (50) , p 2 = 0.08], item 5 [F(step three, step one,204) = p 2 = 0.06], item 6 [F(3, 1,204) = , p 2 = 0.06], item 8 [F(step three, step one,204) = p 2 = 0.11], and item 9 [F(step three, 1,204) = , p 2 = 0.08].
One-way ANOVA analyses revealed significant differences for the sexual orientation variable in the global romantic love myths score [F(step three, step one,204) = p 2 = 0.13] with a medium effect size (Table 3). Specifically, the heterosexual group presented higher scores with respect to the bisexual group (mean difference = 0.56, SE = 0.05, p 2 = 0.14]. Specifically, the heterosexual group presents higher scores than the homosexual group (mean difference = 0.26, SE = 0.08, p = 0.006, d = 0.31), bisexual (mean difference = 0.69, SE = 0.06, p 2 = 0.06], obtaining that heterosexual people present more myths than those who define themselves as bisexual (mean difference = 0.38, SE = 0.05, p 2 = 0.11], item 3 [F(2, 1,205) = 91. 98 p 2 = 0.13], item 5 [F(dos, step one,205) = p 2 = 0.07], item 6 [F(2, 1,205) = p 2 = 0.09], and item 7 [F(dos, 1,205) = p 2 = 0.07]. Furthermore, in items 8 [F(2, step one,205) = p 2 = 0.25] and 9 [F(2, step 1,205) = p 2 = 0.26] the effect size was large.
(dos, 1,205) = p 2 = 0.22] with a large effect size. Specifically, the differences are explained by the fact that the monogamous group presents higher scores than the consensual non-monogamous groups (mean difference = 0 0.71, SE = 0.04, p 2 = 0.26). Post-hoc analyses showed that the monogamous group scored significantly higher than the non-monogamous group (mean difference = 0.93, SE = 0.05, p 2 = 0.06], although the effect size in this case was medium. Specifically, it was obtained that the monogamous group scored higher than the non-monogamous group (mean difference = 0.40, SE = 0.05, p 2 = 2 = 0.03] and type of relationship [F(2, step 1,185) = , p 2 = 0.04], with a small effect size in both cases. The interaction between the different factors did not reach statistical significance. Specifically, there were no differences in this factor with respect to the interaction among sex and sexual orientation [F(step 3, step 1,185) = 1.36, p = 0.255, ? 2 2 2 = 0.01]; nor between sex, sexual orientation, and type of relationship [F(5, step 1,185) = 0.97, p = 0.436, ? 2 2 2 2 = 0.01); nor among sex, sexual orientation, and type of relationship [F(5, 1,185) = 1.05, p = 0.385, ? 2 = 0.01], with respect to the score obtained in this factor, but there are differences according to sexual orientation, with a small effect size [F(3, 1,185) = , p 2 = 0.03] and according to type of relationship, with a medium effect size [F(2, 1,185) = , p 2 = 0.06]. As for sex case, no differences were observed in this factor [F(step one, step 1,185) = 0.18, p = 0.668, ? 2 = 2 = 2 = 0.01] and type of relationship [F(dos, step 1,185) = 4.26, p = 0.014, ? 2 = 0.01] are statistically significant, although with a small effect size. No interaction effect is observed among these different variables in terms of the score obtained in Factor 2. There were no differences in this factor with respect to the interaction between sex and sexual orientation [F(step 3, 1,185) = 1.84, p = 0.139, ? 2 = 0.01], sex and relationship type [F(dos, step one,185) = 0.21, p = 0 
.813, ? 2 2 2 Keywords: bisexual, consensual non-monogamy, monogamy, polyamory, exclusivity, better-half
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