scholarly journals Interpersonal communication, voting behaviour and influence in an election campaign: The 2009 German elections

2017 ◽  
Vol 46 (3) ◽  
pp. 33 ◽  
Author(s):  
Moreno Mancosu
Keyword(s):  
Interpersonal Communication ◽  
Regression Models ◽  
Vote Choice ◽  
Voting Behaviour ◽  
Election Study ◽  
Short Term ◽  
Strong Ties ◽  
Logistic Regression Models ◽  
The Social ◽  
Using Data

Interpersonal influence—the process by which people change their idea according to the ideas of others—is a crucial mechanism that forges political agreement among citizens. By using data from the 2009 German Longitudinal Election Study short-term campaign panel, it will be tested how this strategy contributes to changing citizens’ ideas in the proximity of the 2009 Bundestag elections in Germany. Results of fixed-effect logistic regression models confirm the findings in previous literature, showing evidences consistent with influence effects. It is also suggested that the social circle of discussants alters the way in which people are influenced. Propensities to change vote choice, in fact, are boosted by the exposure to disagreeable strong ties, such as relatives and spouse/partner.

scholarly journals Public Opinion Towards Provincial Powers Over Municipalities: The Case of Toronto

2021 ◽  
Author(s):  
Michal Zhitomirsky ◽  
Michael McGregor
Keyword(s):  
Public Opinion ◽  
Multivariate Regression ◽  
Regression Models ◽  
Multivariate Regression Analysis ◽  
Election Study ◽  
Logistic Regression Models ◽  
Ordered Logistic Regression ◽  
Using Data ◽  
Municipal Election

This paper will analyze the case of redistricting in Toronto using data collected from the 2018 Canadian Municipal Election Study (CMES, n.d). The analysis will explore Torontonian public opinion using multivariate regression analysis in the following areas: support for provincial control over municipal matters in general, and support for the provincially imposed ward redistricting in 2018. Specifically, five central hypotheses will be tested through a series of ordered logistic regression models to determine the correlates of support for the exercise of provincial powers over municipalities and support for such powers using the recent redistricting in Toronto as a case study.

scholarly journals Public Opinion Towards Provincial Powers Over Municipalities: The Case of Toronto

2021 ◽  
Author(s):  
Michal Zhitomirsky ◽  
Michael McGregor
Keyword(s):  
Public Opinion ◽  
Multivariate Regression ◽  
Regression Models ◽  
Multivariate Regression Analysis ◽  
Election Study ◽  
Logistic Regression Models ◽  
Ordered Logistic Regression ◽  
Using Data ◽  
Municipal Election

This paper will analyze the case of redistricting in Toronto using data collected from the 2018 Canadian Municipal Election Study (CMES, n.d). The analysis will explore Torontonian public opinion using multivariate regression analysis in the following areas: support for provincial control over municipal matters in general, and support for the provincially imposed ward redistricting in 2018. Specifically, five central hypotheses will be tested through a series of ordered logistic regression models to determine the correlates of support for the exercise of provincial powers over municipalities and support for such powers using the recent redistricting in Toronto as a case study.

The effect of retirement on social relationships

2022 ◽  
Vol 0 (0) ◽  
Author(s):  
Simona Lorena Comi ◽  
Elena Cottini ◽  
Claudio Lucifora
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Causal Effect ◽  
Strong Ties ◽  
The Social ◽  
Using Data

Abstract We analyze the causal effect of retirement on individual social relationships using data from the Survey of Health, Ageing and Retirement in Europe. We find that retirement changes the composition of the individual’s social network, inducing a substitution between weak (friends or colleagues) and strong ties (family), along with an increase in the intensity of the surviving ties, and there is no effect on the network’s size. These changes in the social network’s composition are associated with a higher satisfaction and stronger relationships. Interestingly, females reduce the share of friends while males that of colleagues.

Contextual effects, awareness, and voting behaviour: Does knowing about local politics increase contextual influence?

Politics ◽  
2018 ◽  
Vol 39 (3) ◽  
pp. 315-331
Author(s):  
Moreno Mancosu
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Local Politics ◽  
Contextual Effects ◽  
Voting Behaviour ◽  
Logistic Regression Models ◽  
Contextual Influence ◽  
Political Environments ◽  
Relative Prevalence ◽  
Election Studies

Context is usually employed to explain voting behaviour, but the way in which it affects people remains obscure. Previous studies have stressed that awareness of the context might indirectly account for political environments’ influence. People aware of their context are expected to be more affected by the relative prevalence of party supporters in their place of residence compared with unaware citizens. By employing stacked logistic regression models (and using Italian National Election Studies data), it is shown that people aware of parties’ settlement in their municipalities are more likely to vote consistently with their surrounding political context.

Religion and Grassroots Social Conservatism in Canada

2019 ◽  
Vol 52 (4) ◽  
pp. 865-881
Author(s):  
Sarah Wilkins-Laflamme ◽  
Sam Reimer
Keyword(s):  
Adult Population ◽  
Value Orientation ◽  
Vote Choice ◽  
Election Study ◽  
Same Sex ◽  
Liberal Party ◽  
Political Landscape ◽  
And Gender ◽  
Using Data ◽  
Social Conservatism

AbstractWith a decisive Liberal party electoral victory in 2015, observers are now wondering if religious conservatism's role in the Canadian political landscape is waning. Using data from the Canadian Election Study (CES) from the years 2004 to 2015, we find that respondents’ attitudes toward same-sex marriage and women working outside the home have moved left on the spectrum among both the general population and more religious voters. However, this does not go hand in hand with a decline in the effect strength of religiosity on the Conservative vote, which remains significant across the five federal elections examined in this study. Conservative religious voters now make up a smaller share of the adult population, but their issue positions on sexual morals and gender roles, along with the wider conservative value orientation these issues represent, remain important in their vote choice.

scholarly journals The Role of Marriage and Military Service on Reoffending: Race, “The Respectability Package,” and the Desistance Process

2020 ◽  
Vol 47 (1) ◽  
pp. 106-125
Author(s):  
Wendi L. Johnson ◽  
Peggy C. Giordano
Keyword(s):  
Military Service ◽  
Regression Models ◽  
Adult Health ◽  
Logistic Regression Models ◽  
Criminal Involvement ◽  
National Longitudinal Study ◽  
Military Involvement ◽  
Using Data ◽  
Volunteer Force

We build on prior research examining military involvement and criminal involvement by investigating the importance of acquiring the more complete “respectability package” that includes marriage as well as military experience and variations among White and Black respondents. Using data from Waves I and IV of the National Longitudinal Study of Adolescent to Adult Health (Add Health; n = 5,801), analyses use logistic regression models to assess associations of military service, marriage, and race with odds of reoffending among White and Black young adults who reported offending at Wave I. Military involvement was associated with lower odds of offending for Black respondents only, while marriage was associated with decreased odds of reoffending across both groups. Among Black respondents, analyses also highlighted the importance of acquiring both components of the respectability package (military service and marriage) in the context of today’s all-volunteer force in reducing criminal involvement.

Pronominal resumption in Spanish direct object relative clauses

2018 ◽  
Vol 11 (2) ◽  
pp. 265-301
Author(s):  
Álvaro Cerrón-Palomino
Keyword(s):  
Social Factors ◽  
Regression Models ◽  
Semantic Processing ◽  
Relative Clauses ◽  
Direct Object ◽  
Logistic Regression Models ◽  
Resumptive Pronouns ◽  
Number Of Factors ◽  
The Social ◽  
Object Relative

Abstract This variationist study analyzes the linguistic and social factors constraining the alternation of resumptive pronouns (RPs) and gaps in direct object (DO) relative clauses (RCs) in the Peruvian Limeño variety. Using a number of mixed-effects (logistic regression) models in Rbrul, results reveal that the set of linguistic constraints favoring pronominal DO resumption does not coincide with those reported to promote subject and oblique RP presence in previous studies. Furthermore, when compared to their subject and oblique counterparts, DO RPs are constrained by a higher number of factors of syntactic, semantic, processing and pragmatic nature. I suggest that this sensitivity to a broader set of constraints is crucial in explaining why DO RPs are more frequent in RCs than subject and oblique RPs. With respect to the social factors analyzed, this study shows a lack of effect of gender, age and education on the speaker’s choice for the resumptive variant.

scholarly journals NEIGHBORHOOD AGE COMPOSITION AND SELF-RATED HEALTH: FINDINGS FROM A NATIONALLY REPRESENTATIVE STUDY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S64-S64
Author(s):  
Amanda Lehning ◽  
Amanda J Lehning ◽  
Nicole Mattocks ◽  
Kyeongmo Kim ◽  
Richard J Smith
Keyword(s):  
Older Adults ◽  
Regression Models ◽  
Neighborhood Change ◽  
Age Composition ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Representative Study ◽  
Nationally Representative ◽  
Using Data ◽  
Conceptual Work

Abstract Neighborhood age composition is an understudied area. Furthermore, existing empirical and conceptual work is conflicting, with some indicating neighborhoods with more older adults are beneficial and other scholarship suggesting it can be detrimental. Using data from 7,197 older adults from the first wave (2011) of the National Health & Aging Trends Study combined with census tract data from the National Neighborhood Change Database, we examined the association between neighborhood age composition and self-rated health. Findings from logistic regression models indicate those living in neighborhoods with a growing concentration of older residents are significantly more likely to report lower self-rated health compared to those living in a neighborhood in which older adults overall are declining (β=1.51, p < .05) or are becoming diluted by younger residents (β=.66, p < .05). Results have implications for interventions promoting aging in place, particularly for those who may be stuck in place in age-concentrated neighborhoods.

Forced Sexual Victimization Among Youth in Custody: Do Risk Factors Vary by Gender and Perpetrator?

2019 ◽  
Vol 100 (2) ◽  
pp. 151-172
Author(s):  
Eileen M. Ahlin
Keyword(s):  
Risk Factors ◽  
Gender Differences ◽  
Logistic Regression ◽  
National Survey ◽  
Regression Models ◽  
Sexual Victimization ◽  
Multivariate Logistic Regression ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Using Data

There is relatively little literature examining risk factors associated with sexual victimization among youth in custody. The current study explored whether risk of forced sexual victimization among youth in custody differs by gender or perpetrator. Using data from a sample of 8,659 youth who participated in the National Survey of Youth in Custody, multivariate logistic regression models were employed to investigate gender differences in risk factors associated with overall forced sexual victimization and staff-on-inmate and inmate-on-inmate forced sexual victimization. Findings suggest that gender differences are more pronounced when perpetrator type is considered.

Identifying the Urban: Resident Perceptions of Community Character and Local Institutions in Eight Metropolitan Areas

2018 ◽  
Vol 17 (3) ◽  
pp. 858-882 ◽  
Author(s):  
Chase M. Billingham ◽  
Shelley McDonough Kimelberg
Keyword(s):  
Regression Models ◽  
Metropolitan Areas ◽  
Central City ◽  
The United States ◽  
Urban Resident ◽  
Local Institutions ◽  
Logistic Regression Models ◽  
Resident Perceptions ◽  
Local Schools ◽  
Using Data

What does the term “urban” signify as a descriptor of contemporary communities in the United States? We investigate this question using data from the Soul of the Community survey, examining how people within eight metropolitan areas characterize their communities. A substantial disjunction exists between where within their regions respondents live and how they describe those areas. Many central–city residents label their communities “suburban” or “rural,” while many outlying residents label their communities “urban.” We contend that people's experiences with important local institutions—specifically, local schools and the local public safety apparatus—shape their understanding of their communities. Logistic regression models support this contention. Controlling for where within their regions respondents live, they are more likely to label their communities “urban” if they perceive local schools to be low in quality and their neighborhoods to be unsafe. Notably, these effects are not consistent across racial and ethnic groups.

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