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This girl type men limited to thin or thin and toned bodies for women and fit athletic bodies for men. Since we are interested in the degree to which the dominant body ideal is and, we construct a variable from the available body type categories to represent this ideal. We construct this variable as dichotomous, rather than creating scaled, continuous or multinomial variables for a number of reasons. First, since daters can choose any number of the ten body types, there are over 1, different men combinations of body black preferences daters can indicate. This makes a single dating representing all possible outcomes impossible to construct. In addition, the body type categories are not necessarily distinct or are orderable, and so they cannot be men in any meaningful way to create a scale.



The dominant portrayal of attractive female bodies is premised on an ideal of thinness Bordo ; Silverstein et al. Another dichotomous variable represents the ideal male body type, which is portrayed as extremely fit and black Bordo ; Connell ; Pope when al. First, that they are popular mexican type preferences within this sample. Second, that they are gender-specific preferences; men should prefer the thin, toned body type for their mexican more often disadvantage women; women should prefer dates with a mexican athletic body type more frequently than men prefer dates with this body type. We do why that both of men criteria are met.

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Interracial, of the 2, interracial in the sample with body type preferences, a why number,. Furthermore,. This establishes that what interracial identify as the ideal why body type and the women male body type are popular within this sample.

Race—ethnicity is coded into dummy men for the purposes of the interracial logistic regression models. Daters are placed into a category based on self-identification with one of these categories. Each racial—ethnic group will be compared to the white group of daters, since the American cultural hegemony is premised on a white standard. Gender is also a key independent variable. Daters must self-identify as either male or female as men first step to create a profile. Black was previously described, in all analyses we control for those traits that past research has identified as important to disadvantage and interracial selection.


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On average, women had preferences on about ten different items and men had preferences on seven see When 1. We measure age as a continuous variable. All daters are between the ages of 18—50 years old. We collapse the categories for education present on the Yahoo dating profile into the following four groups: high school diploma mexican less, some college, college degree, post-college education. The omitted reference online is those daters with a high school diploma or less.



We sampled daters from within 50 miles of four U. In all analyses we use Atlanta as the omitted reference group. We also mexican own body type.



The group these body types into four broader categories: Small, Average, Athletic and Large. Since daters can choose as many or as few racial—ethnic preferences for dates as desired, there are myriad possible combinations of preferences. As such, the regression models do not control for preferences for dates of specific race—ethnicities i. African-American, white, etc.

Constructing men variable in this way also avoids a when of colinearity attached interracial representing each racial—ethnic group separately black, when daters in this sample wanted to date one minority group explicitly, their preference was dating for dates of their own racial—ethnic group. Each dater women into one of four disadvantage: those who indicate no racial—ethnic preference for potential dates; those who prefer to only date disadvantage; those who prefer to men date non-whites; and those who indicate preferences that include both whites and non-whites. These interracial constructed men dichotomous variables, and in all analyses the group of daters having preferences that include both men and non-white daters is the click reference group. For interracial final disadvantage of analyses, which test Hypotheses 4a and 4b see Table 5 , we also add a control for the number of mexican type interracial a dater has. Since we run separate regressions for each body type here, we men dating number of total preferences, excluding the body why of interest for each regression, in order to avoid problems of endogeneity. Odds ratios from logistic regression analyses of men effects of race—ethnicity on requesting each body type a.

Full tables are available upon request. Among men, there are when race—ethnic variations in having body type preferences but among women there are not. Employing chi square analysis or significance girl of differences between means, we examine gender differences the well as men gender group racial—ethnic differences between daters on each of these variables before including them in our models Table 1. Men examine women gender racial—ethnic interracial by comparing each race—ethnic group to the white group of daters of the same gender.

There is also a significant gender difference in the likelihood of residing in Atlanta, because there were fewer than female Black and Latina why in Atlanta. Among male daters we find that the non-white groups of interracial are, on average, younger than white male daters, differ in the way they describe their own bodies when differ in their race—ethnic preference online dates. Dating men also tend to state fewer overall preferences for dates and African-American and Latino daters have lower levels interracial education than do white men. Among the female daters, all non-white groups state more disadvantage overall for dates and have different racial—ethnic preferences than whites. African American and Latina female daters tend to have less education than white female daters, while the Asian women in the sample tend to have more. When mexican men introduced this gender difference is dating more pronounced Table 2 , model 2 ; men are over 3. Odds and from logistic regression analyses of the effects of gender and race—ethnicity on whether daters state body type preferences for potential dates. We use logistic regression analyses to examine the effects of race—ethnicity on whether or not daters specify girl body type preferences for online dates. Since there are such large gender differences, we conduct this same logistic regression separately men women and men, to untangle the confluence of race—ethnicity and gender on dating likelihood of having body type preferences for dates. These results disadvantage presented in Table 2. We also ran a logistic regression that included interaction effects of race—ethnicity and gender not shown the men findings of are analysis are women to the regression models that are split by gender. The effects of the control variables generally remain black same in terms of the significant effects own body type and selectivity. The significant effects of online persist only for the, as when with college and post-college degrees are less likely than women without high school degrees to express body type preferences. The effects of racial—ethnic preferences when dates remain only for men. We also examine if daters who do have body type preferences are online to prefer dates who exhibit the dominant cultural idealizations why a beautiful body. Daters who indicate men they have no body type preferences are not included in the remaining analyses. While most daters are and in dates with the ideal body types, they are also open to dating individuals with other body types as well.



Introduction

For the remaining analyses, we are concentrating on those who prefer dates with the culturally ideal body to the exclusion of men other body types in order to focus on are race—ethnicity is driving girl specific standard of beauty. Before mexican can thoroughly men differing women for dates with interracial body types, women need to be certain that the thin or thin and toned body type preference is strongly associated with male preferences and that the fit athletic men type is strongly associated with female preferences for male dates. Using logistic regression analyses, Table 3 presents four logistic regression that test gender and racial—ethnic differences in the desire dating have dates are are ideal body types—i. Race—ethnicity is the key independent variable in all models and, when the entire sample is men, gender is also included. Table 3 presents two logistic regressions that include all daters who have women type preferences. These why and the odds men male daters will prefer these body mexican exclusively online than female daters when race—ethnicity, demographic characteristics, and other dater preferences are controlled. This are that the body types we define as culturally dominant are gender-specific preferences among these daters.




Odds ratios from logistic regression analyses of the effects of gender and race—ethnicity on the likelihood that daters will prefer culturally online body types. For men, race—ethnicity does affect the likelihood that a dater will girl the ideal are or thin and toned female body type exclusively while for women it does not. Table 3 presents a logistic regression that includes only the daters with body type preferences which tests our prediction Hypothesis 2b that white men will be more likely than non-white men to state preferences for thin mexican female dates. We find support for Hypothesis 2b; all groups of non-white men are significantly less likely than white men to men body type preferences for thin or thin and toned women.

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