The Association between Adherence to Sexist Beliefs and Traditional Family Norms, Religion, and Attitudes toward Sexual Minorities.

Much remains unknown about the collective influence of adherence to sexist beliefs and traditional family norms on attitudes toward sexual minorities. Understanding factors that shape attitudes are important as attitudes can influence the development of laws and policies. This is particularly salient as rights gaps remain in spite of recent legal victories for sexual minorities in the U.S. Using a weighted nationally representative sample (N = 3,647) from the 2016 American National Election Studies, the current study examined the association between adherence to sexist beliefs and traditional family norms, religion, and attitudes toward sexual minorities. Individuals with a stronger adherence to sexist beliefs and traditional family norms have less favorable attitudes toward sexual minorities. This finding illustrates the nexus of sex, gender, and sexuality, and shows their collective association with attitudes toward sexual minorities. Findings can inform advocacy efforts and initiatives that address misconceptions regarding sexual minorities and what characteristics constitute masculinity and femininity.

Public Attitudes Toward the Police: Findings From a Dual-Frame Telephone Survey.

Using telephone survey data collected in Houston, Texas, this study explores the feasibility of a dual-frame (landline and cell-phone-only household samples) design survey in police studies and compares the corresponding characteristics of survey respondents and multiple measures of citizens' attitudes toward the police. It was found that a cell-phone interview with the same scope and length of a landline interview is indeed operationally feasible, albeit at higher cost and lower response rate. Compared with their landline counterparts, respondents in our cell-phone-only sample are younger, males, members of ethnic minority, renters, mobile, and less educated. No appreciable attitudinal differences among the respondents are observed between the two samples. In addition, substantive outcomes from multivariate regression models do not seem to be impacted by the types of phones used. Implications for future studies are included.