scholarly journals A Multivariate Analysis of the 2016 County-Level Presidential Vote and Turnout

2020 ◽  
Author(s):  
Gregg Smith ◽  
Jazmin Young
Keyword(s):  
Multivariate Analysis ◽  
Physical Health ◽  
International Migration ◽  
Voter Turnout ◽  
Presidential Election ◽  
County Level ◽  
Unit Of Analysis ◽  
Independent Variables ◽  
Vote Outcome ◽  
County Population

We investigate the 2016 Presidential Election using the county as the unit of analysis to examine the variance in the percentage of votes cast for Clinton, Trump and voter turnout. Our independent variables conceptually relate to race, education, wellbeing, age, rural-urban continuum and international migration. We found that over 50% of the variance in vote outcome for Clinton and Trump is explained by race, education, economy and the physical health of the county population. Almost 50% of the variance in voter turnout is explained with the same variables plus age. The regression results showed that Trump voters tended to be more white, less educated, not poor, and unhealthy compared to Clinton voters. <br>

scholarly journals A Multivariate Analysis of the 2016 County-Level Presidential Vote and Turnout

2020 ◽  
Author(s):  
Gregg Smith ◽  
Jazmin Young
Keyword(s):  
Multivariate Analysis ◽  
Physical Health ◽  
International Migration ◽  
Voter Turnout ◽  
Presidential Election ◽  
County Level ◽  
Unit Of Analysis ◽  
Independent Variables ◽  
Vote Outcome ◽  
County Population

We investigate the 2016 Presidential Election using the county as the unit of analysis to examine the variance in the percentage of votes cast for Clinton, Trump and voter turnout. Our independent variables conceptually relate to race, education, wellbeing, age, rural-urban continuum and international migration. We found that over 50% of the variance in vote outcome for Clinton and Trump is explained by race, education, economy and the physical health of the county population. Almost 50% of the variance in voter turnout is explained with the same variables plus age. The regression results showed that Trump voters tended to be more white, less educated, not poor, and unhealthy compared to Clinton voters. <br>

Research Design and Quantitative Analysis

2018 ◽  
Author(s):  
Cynthia McClintock
Keyword(s):  
Latin American ◽  
Voter Turnout ◽  
Presidential Election ◽  
Third Wave ◽  
Independent Variables ◽  
The Third ◽  
Dependent Variables ◽  
Election Rule ◽  
Latin American Countries ◽  
Freedom House

The chapter describes the dataset: the independent variables (presidential-election rule—runoff versus plurality—as well as years of runoff and years of plurality) and the dependent variables: levels of democracy, as measured in the Freedom House and Varieties of Democracy (V-Dem) indices as well as voter turnout. The chapter discusses the countries in the dataset (all Latin American countries except Bolivia) and the years in the dataset (1990–2016, with the exception of a few countries in which the beginning of the third wave was subsequent to 1990). The chapter graphs trends in Freedom House scores, V-Dem scores, and voter turnout between 1990 and 2016. It reports the regression analysis; runoff was positively related to Freedom House and V-Dem scores at the .05 level. Years of plurality was significant to Freedom House scores at the .01 level and to V-Dem almost at the .01 level.

scholarly journals A statewide outbreak of Cryptosporidium and its association with the distribution of public swimming pools

2011 ◽  
Vol 140 (8) ◽  
pp. 1439-1445 ◽  
Author(s):  
P. M. POLGREEN ◽  
J. D. SPARKS ◽  
L. A. POLGREEN ◽  
M. YANG ◽  
M. L. HARRIS ◽  
...  
Keyword(s):  
Mixed Models ◽  
Generalized Linear Mixed Models ◽  
Covariance Structure ◽  
County Level ◽  
Population Differences ◽  
Swimming Pools ◽  
Independent Variables ◽  
Health Club ◽  
Country Club ◽  
County Population

SUMMARYIn order to characterize the association between county-level risk factors and the incidence of Cryptosporidium in the 2007 Iowa outbreak, we used generalized linear mixed models with the number of Cryptosporidium cases per county as the dependent variable. We employed a spatial power covariance structure, which assumed that the correlation between the numbers of cases in any two counties decreases as the distance between them increases. County population size was included in the model to adjust for population differences. Independent variables included the number of pools in specific pool categories (large, small, spa, wading, waterslide) and pool-owner classes (apartment, camp, country club or health club, hotel, municipal, school, other) as well as the proportion of residents aged <5 years. We found that increases in the number of bigger pools, pools with more heterogeneous mixing (municipal pools vs. country club or apartment pools), and pools catering to young children (wading pools) are associated with more cases at the county level.

PENGARUH PERSONAL BACKGROUND, POLITICAL BACKGROUND DAN PENGEATAHUAN DEWAN TENTANG ANGGARAN TERHADAP PERAN DPRD DALAM PENGAWASAN KEUANGAN DAERAH

2008 ◽  
Author(s):  
Yesi Mutia Basri ◽  
Rosliana Rosliana
Keyword(s):  
Multivariate Analysis ◽  
Significant Influence ◽  
Political Activity ◽  
Primary Data ◽  
Financial Control ◽  
Independent Variables ◽  
Dependent Variables ◽  
Political Background ◽  
Activity Dependent

This research aim to examine the influence of personal background, political background, and council budget knowledge towards the role of DPRD on region financial control. This research is motivated by the fact that individual background will effect to individual behavior on political activity. Dependent variables in this research are personal background, political background, and council budges knowledge towards the role of DPRD on region financial control Independent variables are the role of DPRD on region financial control in planning, implementing, and responsibility steps. The data in this research consist of primary data that taken from questionnaires distributed directly to respondents. The collected are from 34 Respondents that members of DPRD at Pekanbaru. Hypothesis of this research are examine by using Multivariate Analysis of Variances (MANOVA). The result of this research HI personal background political background and budget knowledge have significant influence toward the role of DPRD on region financial control in planning steps.H2 personal background, politico I background and budget knowledge have no significant influence toward the role of DPRD on region financial control in Implementing steps. H3 personal background political background and budget knowledge have no significant influence toward the role of DPRD on region financial control in Controlling steps.

More Engaged but Still Uninformed? 2004 Presidential Election Coverage in Consumer Magazines Popular with Young Adults

2009 ◽  
Vol 86 (3) ◽  
pp. 563-577 ◽  
Author(s):  
James E. Mueller ◽  
Tom Reichert
Keyword(s):  
Young Adults ◽  
Young People ◽  
Voter Turnout ◽  
Presidential Election ◽  
Iraq War ◽  
Women's Magazines ◽  
Rolling Stone ◽  
Election Coverage ◽  
Popular Magazines ◽  
2000 Election

Given the upturn in young-voter turnout in 2004, this study updates an analysis of the 2000 election to determine if coverage in youth-oriented magazines remained superficial, strategic, and cynical. Quantity of coverage increased 69% over 2000 (coverage in Rolling Stone increased 300%) despite a decrease in women's magazines' coverage. There was no difference in the largely strategic, cynical, and biased coverage between the two elections. Despite a “wartime” election, the magazines rarely published stories focusing on the Iraq war. The study suggests that resurgent interest in politics among young people was not mirrored in popular magazines they read regularly.

scholarly journals Habit Formation in Voting: Evidence from Rainy Elections

2016 ◽  
Vol 8 (4) ◽  
pp. 160-188 ◽  
Author(s):  
Thomas Fujiwara ◽  
Kyle Meng ◽  
Tom Vogl
Keyword(s):  
Voter Turnout ◽  
Presidential Elections ◽  
Habit Formation ◽  
County Level ◽  
Level Data ◽  
Social Spillovers ◽  
Consumption Value

We estimate habit formation in voting—the effect of past on current turnout—by exploiting transitory voting cost shocks. Using county-level data on US presidential elections from 1952–2012, we find that rainfall on current and past election days reduces voter turnout. Our estimates imply that a 1-point decrease in past turnout lowers current turnout by 0.6–1.0 points. Further analyses suggest that habit formation operates by reinforcing the direct consumption value of voting and that our estimates may be amplified by social spillovers. (JEL D72, D83, N42)

scholarly journals Management Multivariate Analysis Methods for Variables Measurement in Scientific Papers

2019 ◽  
Vol 3 (1) ◽  
pp. 65-72
Author(s):  
Yulianto Yulianto ◽  
Namira Robihaningrum ◽  
Bella Dhea Elinda
Keyword(s):  
Multivariate Analysis ◽  
Data Analysis ◽  
Research Methods ◽  
Multivariate Data Analysis ◽  
Multivariate Data ◽  
Scientific Research ◽  
Independent Variables ◽  
Several Variables ◽  
Dependent Variables ◽  
Scientific Papers

The management of writing a scientific papers we already know has important chapters in the writing. And have a way of choosing in a variety of methods. There are problems in this study, namely the absence of the use of research methods in scientific-rich management. Then one of them is needed by multivariate data analysis management to become one of the methods in writing scientific papers. Multivariate data is data collected from two or more observations by measuring these observations with several characteristics. There are 2 (two) methods in multivariate data, namely dependency and interdependence methods. Dependency analysis functions to explain or predict dependent variables by using two or more independent variables. Focused on the dependency method there are 9 (nine) classifications. It is expected that the multivariate data analysis management can help writers to use scientific research methods well and be able to analyze the influence of several variables on other variables at the same time

scholarly journals Tweeted Anger Predicts County-Level Results of the 2016 United States Presidential Election

2019 ◽  
Vol 32 (1) ◽  
pp. 6 ◽  
Author(s):  
Katharina Bernecker ◽  
Michael Wenzler ◽  
Kai Sassenberg
Keyword(s):  
United States ◽  
Presidential Election ◽  
County Level

Theoretical Framework and Models

2013 ◽  
Author(s):  
Jan E. Leighley ◽  
Jonathan Nagler
Keyword(s):  
Voter Turnout ◽  
Presidential Election ◽  
Demographic Characteristic ◽  
Theoretical Framework ◽  
Demographic Characteristics ◽  
Costs And Benefits ◽  
The Impact

This chapter introduces the theoretical framework that guides the analyses and discussions of the determinants of voter turnout. It adopts a model of turnout that poses an individual's decision to vote as a reflection of the costs and benefits of engaging in such behavior. Then, for each presidential election year since 1972, it estimates turnout as a function of demographic characteristics of interest. These estimates allow us to estimate the impact of one demographic characteristic (such as income) on turnout while holding other demographic characteristics (such as education and race) constant. These estimates are referred to as “conditional” relationships. The findings suggest that the conditional relationships between education and turnout, and income and turnout (i.e., conditional income bias) have been relatively stable (or modestly reduced) since 1972. Important changes in the conditional relationships between age, race, gender, and turnout have also been observed.

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