To research the basic hypothesis i conducted four regression analyses on the relationship between viewing television and pursuing the dependent parameters: stereotypical look at gay men, stereotypical look at lesbian ladies, feminine attributes regarding homosexual men, and you can masculine qualities regarding lesbian girls. All of the habits provided age, gender, sexual taste, religion, ethnicity, and you may amount of education since the control details in the first block and you may added parameters on the media consumption on the next block: hours off tv noticed each day, regularity out of viewing television programs with high amount of stereotypical representations regarding homosexual people, volume off watching television applications with a low amount of stereotypical symbol out of gay males, and you will volume off viewing television apps with a high number of stereotypical representations out-of lesbians. The newest setting, standard deviations, and correlations of your established and you may independent variables exists during the Table 3. Zero unforeseen correlations have been receive. Most of the model analytics and you may believe times with the coefficients is included in Dining table 4. In most of your models, the latest residuals were not generally speaking marketed, so we based our very own results on the value to the bootstrapped rely on intervals.
There was significant skewness (z-score = 2.95) in the distribution of the residuals. The model of the first block was significant (Radj 2 = 0.04, Ftransform (7, 255) = 2.54, p = 0.015). Participants who were older had a less stereotypical view of gay men, and participants who were not Caucasian had a more stereotypical view of gay men. The addition of the variables about media consumption in the second block resulted in a significantly better model (Radj 2 = 0.08, Fchange (3, 252) = 4.69, p = 0.003). Besides age and ethnicity, hours of television watched Kink free and single dating site per day was also significantly related to the stereotypical view in that participants who watch more television have a more stereotypical view of gay men.
There was significant kurtosis (z-score = 4.60) in the distribution of the residuals. The model of the first block was significant (Radj 2 = 0.03, Fchange (7, 255) = 2.19, p = 0.035). The addition of the media consumption variables did not result in a significantly better model (Radj 2 = 0.04, Fchange (2, 253) = 1.88, p = 0.154).
Besides analyzing whether people ascribe explicit stereotypes to LGBs, we also measured whether they ascribe feminine characteristics to gay men to see if the stereotype ‘gay men are feminine’ applies and whether this stereotype is shaped by television. There was significant kurtosis (z-score = 3.67) in the distribution of the residuals. The model of the first block was significant (Radj 2 = 0.15, Fchange (7, 255) = 7.43, p 2 = 0.14, Fchange (3, 252) = 0.32, p = 0.808).
There was significant kurtosis (z-score = ) in the distribution of the residuals. The model of the first block was significant (Radj 2 = 0.11, Fchange (7, 255) = 5.50, p 2 = 0.10, Fchange (2, 253) = 0.02, p = 0.981).
From these five analyses, we can ending which our earliest theory (those who see programs that have stereotypical portrayals away from LGBs features an excellent way more stereotypical picture of LGBs) isn’t served. However, we manage discover individuals who view way more tv as a whole have a very stereotypical look at gay people.
To investigate all of our 2nd hypothesis (stereotypical representations out of LGBs towards the Dutch television is actually certainly about people’s thinking toward LGBs), i used an excellent regression design to the emotions for the LGBs because built adjustable as well as the same predictors just like the before, in addition to variables ‘stereotypes away from homosexual men’ and ‘stereotypes away from lesbians’.