Beyond Red vs. Blue: The Political Typology - 2021

Partisan polarization remains the dominant, seemingly unalterable condition of American politics. Republicans and Democrats agree on very little – and when they do, it often is in the shared belief that they have little in common.Yet the gulf that separates Republicans and Democrats sometimes obscures the divisions and diversity of views that exist within both partisan coalitions – and the fact that many Americans do not fit easily into either one.Republicans are divided on some principles long associated with the GOP: an affinity for businesses and corporations, support for low taxes and opposition to abortion. Democrats face substantial internal differences as well – some that are long-standing, such as on the importance of religion in society, others more recent. For example, while Democrats widely share the goal of combating racial inequality in the United States, they differ on whether systemic change is required to achieve that goal.These intraparty disagreements present multiple challenges for both parties: They complicate the already difficult task of governing in a divided nation. In addition, to succeed politically, the parties must maintain the loyalty of highly politically engaged, more ideological voters, while also attracting support among less engaged voters – many of them younger – with weaker partisan ties.Pew Research Center's new political typology provides a road map to today's fractured political landscape. It segments the public into nine distinct groups, based on an analysis of their attitudes and values. The study is primarily based on a survey of 10,221 adults conducted July 8-18, 2021; it also draws from several additional interviews with these respondents conducted since January 2020

Standardized observation of neighbourhood disorder: does it work in Canada?

<p>Abstract</p> <p>Background</p> <p>There is a growing body of evidence that where you live is important to your health. Despite numerous previous studies investigating the relationship between neighbourhood deprivation (and structure) and residents' health, the precise nature of this relationship remains unclear. Relatively few investigations have relied on direct observation of neighbourhoods, while those that have were developed primarily in US settings. Evaluation of the transferability of such tools to other contexts is an important first step before applying such instruments to the investigation of health and well-being. This study evaluated the performance of a systematic social observational (SSO) tool (adapted from previous studies of American and British neighbourhoods) in a Canadian urban context.</p> <p>Methods</p> <p>This was a mixed-methods study. Quantitative SSO ratings and qualitative descriptions of 176 block faces were obtained in six Toronto neighbourhoods (4 low-income, and 2 middle/high-income) by trained raters. Exploratory factor analysis was conducted with the quantitative SSO ratings. Content analysis consisted of independent coding of qualitative data by three members of the research team to yield common themes and categories.</p> <p>Results</p> <p>Factor analysis identified three factors (physical decay/disorder, social accessibility, recreational opportunities), but only 'physical decay/disorder' reflected previous findings in the literature. Qualitative results (based on raters' fieldwork experiences) revealed the tool's shortcomings in capturing important features of the neighbourhoods under study, and informed interpretation of the quantitative findings.</p> <p>Conclusions</p> <p>This study tested the performance of an SSO tool in a Canadian context, which is an important initial step before applying it to the study of health and disease. The tool demonstrated important shortcomings when applied to six diverse Toronto neighbourhoods. The study's analyses challenge previously held assumptions (e.g. social 'disorder') regarding neighbourhood social and built environments. For example, neighbourhood 'order' has traditionally been assumed to be synonymous with a certain degree of homogeneity, however the neighbourhoods under study were characterized by high degrees of heterogeneity and low levels of disorder. Heterogeneity was seen as an appealing feature of a block face. Employing qualitative techniques with SSO represents a unique contribution, enhancing both our understanding of the quantitative ratings obtained and of neighbourhood characteristics that are not currently captured by such instruments.</p

Republicans and Democrats alike view Russia more as a competitor than an enemy of the U.S.

Amid tensions between the United States and Russia over a possible military invasion of Ukraine, Republicans and Democrats are largely in agreement about the threats posed by Russia, according to a new survey by Pew Research Center. The survey was conducted Jan. 10-17, prior to the U.S. putting troops on higher alert and NATO announcing that member countries would be sending military support to the region. Overall, 49% of U.S. adults consider Russia a competitor of the U.S., while 41% say it is an enemy. Only 7% consider Russia a partner of the U.S.

More support than oppose Jacksons Supreme Court nomination, with many not sure

As the U.S. Senate is set to begin confirmation hearings for Judge Ketanji Brown Jackson, President Joe Biden's nominee to replace the retiring Justice Stephen Breyer on the Supreme Court, 44% of the public says the Senate should definitely (24%) or probably (20%) confirm Jackson, while just 18% say she should not be confirmed. Nearly four-in-ten (38%) say they are unsure

Are residents of downtown Toronto influenced by their urban neighbourhoods? Using concept mapping to examine neighbourhood characteristics and their perceived impact on self-rated mental well-being

Abstract Background There is ample evidence that residential neighbourhoods can influence mental well-being (MWB), with most studies relying on census or similar data to characterize communities. Few studies have actively investigated local residents’ perceptions. Methods Concept mapping was conducted with residents from five Toronto neighbourhoods representing low income and non-low income socio-economic groups. These residents participated in small groups and attended two sessions per neighbourhood. The first session (brainstorming) generated neighbourhood characteristics that residents felt influenced their MWB. A few weeks later, participants returned to sort these neighbourhood characteristics and rate their relative importance in affecting residents’ ‘good’ and ‘poor’ MWB. The data from the sorting and rating groups were analyzed to generate conceptual maps of neighbourhood characteristics that influence MWB. Results While agreement existed on factors influencing poor MWB (regardless of neighbourhood, income, gender and age), perceptions related to factors affecting good MWB were more varied. For example, women were more likely to rank physical beauty of their neighbourhood and range of services available as more important to good MWB, while men were more likely to cite free access to computers/internet and neighbourhood reputation as important. Low-income residents emphasized aesthetic attributes and public transportation as important to good MWB, while non-low-income residents rated crime, negative neighbourhood environment and social concerns as more important contributors to good MWB. Conclusion These findings contribute to the emerging literature on neighbourhoods and MWB, and inform urban planning in a Canadian context.</p

Are residents of downtown Toronto influenced by their urban neighbourhoods? Using concept mapping to examine neighbourhood characteristics and their perceived impact on self-rated mental well-being

Abstract Background There is ample evidence that residential neighbourhoods can influence mental well-being (MWB), with most studies relying on census or similar data to characterize communities. Few studies have actively investigated local residents’ perceptions. Methods Concept mapping was conducted with residents from five Toronto neighbourhoods representing low income and non-low income socio-economic groups. These residents participated in small groups and attended two sessions per neighbourhood. The first session (brainstorming) generated neighbourhood characteristics that residents felt influenced their MWB. A few weeks later, participants returned to sort these neighbourhood characteristics and rate their relative importance in affecting residents’ ‘good’ and ‘poor’ MWB. The data from the sorting and rating groups were analyzed to generate conceptual maps of neighbourhood characteristics that influence MWB. Results While agreement existed on factors influencing poor MWB (regardless of neighbourhood, income, gender and age), perceptions related to factors affecting good MWB were more varied. For example, women were more likely to rank physical beauty of their neighbourhood and range of services available as more important to good MWB, while men were more likely to cite free access to computers/internet and neighbourhood reputation as important. Low-income residents emphasized aesthetic attributes and public transportation as important to good MWB, while non-low-income residents rated crime, negative neighbourhood environment and social concerns as more important contributors to good MWB. Conclusion These findings contribute to the emerging literature on neighbourhoods and MWB, and inform urban planning in a Canadian context