A model-based imputation procedure for multilevel regression models with random coefficients, interaction effects, and nonlinear terms.

2020 ◽  
Vol 25 (1) ◽  
pp. 88-112 ◽  
Author(s):  
Craig K. Enders ◽  
Han Du ◽  
Brian T. Keller
Keyword(s):  
Regression Models ◽  
Interaction Effects ◽  
Random Coefficients ◽  
Multilevel Regression ◽  
Model Based ◽  
Imputation Procedure

scholarly journals Online News and Protest Participation in a Political Context: Evidence from Self-Reported Cross-Sectional Data

2021 ◽  
Vol 7 (1) ◽  
pp. 205630512098445
Author(s):  
Nora Kirkizh ◽  
Olessia Koltsova
Keyword(s):  
Digital Media ◽  
Regression Models ◽  
Online News ◽  
Political Context ◽  
Government Control ◽  
Multilevel Regression ◽  
Traditional Media ◽  
Cross Sectional ◽  
Internet Media ◽  
The Relationship

Availability of alternative information through social media, in particular, and digital media, in general, is often said to induce social discontent, especially in states where traditional media are under government control. But does this relation really exist, and is it generalizable? This article explores the relationship between self-reported online news consumption and protest participation across 48 nations in 2010–2014. Based on multilevel regression models and simulations, the analysis provides evidence that those respondents who reported that they had attended a protest at least once read news online daily or weekly. The study also shows that the magnitude of the effect varies depending on the political context: surprisingly, despite supposedly unlimited control of offline and online media, autocratic countries demonstrated higher effects of online news than transitional regimes, where the Internet media are relatively uninhibited.

scholarly journals Examining the Effects of the Sacramento Dockless E-Bike Share on Bicycling and Driving

2021 ◽  
Vol 13 (1) ◽  
pp. 368
Author(s):  
Dillon T. Fitch ◽  
Hossain Mohiuddin ◽  
Susan L. Handy
Keyword(s):  
Travel Behavior ◽  
Regression Models ◽  
Population Level ◽  
Panel Survey ◽  
Multilevel Regression ◽  
Combine Data ◽  
Cross Sectional ◽  
Individual Level ◽  
Before And After ◽  
Bike Share

One way cities are looking to promote bicycling is by providing publicly or privately operated bike-share services, which enable individuals to rent bicycles for one-way trips. Although many studies have examined the use of bike-share services, little is known about how these services influence individual-level travel behavior more generally. In this study, we examine the behavior of users and non-users of a dockless, electric-assisted bike-share service in the Sacramento region of California. This service, operated by Jump until suspended due to the coronavirus pandemic, was one of the largest of its kind in the U.S., and spanned three California cities: Sacramento, West Sacramento, and Davis. We combine data from a repeat cross-sectional before-and-after survey of residents and a longitudinal panel survey of bike-share users with the goal of examining how the service influenced individual-level bicycling and driving. Results from multilevel regression models suggest that the effect of bike-share on average bicycling and driving at the population level is likely small. However, our results indicate that people who have used-bike share are likely to have increased their bicycling because of bike-share.

scholarly journals Spatiotemporal droplet dispersion measurements demonstrate face masks reduce risks from singing: results from the COvid aNd FacEmaSkS Study (CONFESS)

2021 ◽  
Author(s):  
Kai Man Alexander Ho ◽  
Hywel Davies ◽  
Ruth Epstein ◽  
Paul Bassett ◽  
Aine Hogan ◽  
...  
Keyword(s):  
Regression Models ◽  
Sound Intensity ◽  
Face Mask ◽  
Multilevel Regression ◽  
Planar Imaging ◽  
Mean Velocity ◽  
Velocity Magnitude ◽  
Droplet Production ◽  
The Impact ◽  
Droplet Transmission

Background: COVID-19 has restricted singing in communal worship. We sought to understand variations in droplet transmission and the impact of wearing face masks. Methods: Using rapid laser planar imaging, we measured droplets while participants exhaled, said "hello" or "snake", sang a note or "Happy Birthday", with and without surgical face masks. We measured mean velocity magnitude (MVM), time averaged droplet number (TADN) and maximum droplet number (MDN). Multilevel regression models were used. Results: In 20 participants, sound intensity was 71 Decibels (dB) for speaking and 85 dB for singing (p<0.001). MVM was similar for all tasks with no clear hierarchy between vocal tasks or people and >85% reduction wearing face masks. Droplet transmission varied widely, particularly for singing. Masks decreased TADN by 99% (p<0.001) and MDN by 98% (p<0.001) for singing and 86-97% for other tasks. Masks reduced variance by up to 48%. When wearing a mask, neither singing task transmitted more droplets than exhaling. Conclusions: Wide variation exists for droplet production. This significantly reduced when wearing face masks. Singing during religious worship wearing a face mask appears as safe as exhaling or talking. This has implications for UK public health guidance during the COVID-19 pandemic.

scholarly journals Disparities in injury morbidity among young adults in the USA: individual and contextual determinants

2018 ◽  
Vol 72 (6) ◽  
pp. 458-464 ◽  
Author(s):  
Susanne Schmidt ◽  
P Johnelle Sparks
Keyword(s):  
Young Adults ◽  
Conceptual Framework ◽  
Regression Models ◽  
Injury Risk ◽  
College Graduates ◽  
Multilevel Models ◽  
Health Behaviours ◽  
Population Data ◽  
Multilevel Regression ◽  
Logistic Regression Models

BackgroundInjuries have been recognised as important public health concerns, particularly among adolescents and young adults. Few studies have examined injuries using a multilevel perspective that addresses individual socioeconomic status (SES) and health behaviours and local socioeconomic conditions in early adolescence. We offer a conceptual framework incorporating these various components.MethodsWe test our conceptual framework using population data from the National Longitudinal Study of Adolescent Health Wave 4 when respondents were young adults and linked them to contextual level data from when they were middle-schoolers. We use logistic and multilevel regression models to examine self-reported injury risk in young adults by sex (n=14 356).ResultsLogistic regression models showed that men were more likely to experience serious injuries than women (OR 1.75, P<0.0001), but SES and health behaviours operated differently by sex. In stratified models, men with lower education had consistently higher injury risk, while only women with some college had increased injury risk (OR 1.40, P=0.0089) than college graduates. Low household income (OR 1.54, P=0.0011) and unemployment (OR 1.50, P=0.0008) increased female injury risk, but was non-significant for men. Alcohol consumption increased injury risk for both sexes, while only female smokers had elevated injury risk (OR 1.38, P=0.0154). In multilevel models, significant county-level variation was only observed for women. Women living in disadvantaged neighbourhoods during adolescence had increased injury risk (OR 1.001, P<0.0001).ConclusionsThese findings highlight the importance of investigating mechanisms that link early-life contextual conditions to early adult SES and health behaviours and their linkage to injury risk, particularly for women.

Food Insecurity Among Older Adults: A Multilevel Analysis of State-Level Interventions

2019 ◽  
pp. 073346481989423
Author(s):  
Pablo Gaitán-Rossi ◽  
Ida Caterina García-Appendini ◽  
Lucía Félix-Beltrán ◽  
Mireya Vilar-Compte
Keyword(s):  
Older Adults ◽  
Food Insecurity ◽  
Regression Models ◽  
State Level ◽  
Cross Sectional Study ◽  
Social Programs ◽  
Multilevel Regression ◽  
Cross Sectional ◽  
Monetary Transfers ◽  
Food Programs

Objective: To analyze whether state-level social programs for older adults (OAs) in Mexico are associated with a reduction: (a) in the prevalence of severe food insecurity (SFI) and (b) in the magnitude of the effect of municipal marginalization on SFI. Method: Cross-sectional study based on urban OAs (65–100 years) from the 2010 census. Three-level logistic multilevel regression models were estimated to explain SFI. Results: Controlling for individual and municipal characteristics, states with social programs for OAs are generally associated with lower SFI prevalences (odds ratio [OR] = 0.68 [0.48, 0.95]) and mitigate the effect of marginalization on SFI when compared with states with no programs. Compared with in-kind food programs and voucher-based programs, monetary transfers are associated with a significant reduction in SFI prevalence (OR = 0.68 [0.46, 0.99]). Conclusion: States with programs for OAs, mainly monetary transfers, are associated with lower SFI prevalences.

Diffusion, Development, and Democracy, 1800-1999

2005 ◽  
Vol 70 (1) ◽  
pp. 53-81 ◽  
Author(s):  
Barbara Wejnert
Keyword(s):  
Regression Models ◽  
Socioeconomic Development ◽  
Diffusion Processes ◽  
Spatial Proximity ◽  
Multilevel Regression ◽  
Social Scientists ◽  
Regional Patterns ◽  
Development Indicators ◽  
The Past ◽  
The World

While a trend of growth in democratization over the past two centuries has been generally observed, it is the remarkable growth in the democratization of the world over the past 30 years that has truly captured the imagination of social scientists, policymakers, and the general public alike. Two major sets of factors have dominated studies attempting to predict democratization. One set characterizes endogenous or internal features of countries, and may be referred to as socioeconomic development. The other set, less often tested, characterizes exogenous variables that influence democratization via forces at work globally and within the region in which a country resides; this set may be referred to as diffusion processes. This study provides the first systematic comparison of these two sets of variables. When assessed alone, development indicators are robust predictors of democracy, but their predictive power fades with the inclusion of diffusion variables. In particular, diffusion predictors of spatial proximity and networks are robust predictors of democratic growth in both the world and across all regions. The results demonstrate that regional patterns in democratization are evident, and hence world analyses are only the first approximation to understanding democratic growth. Finally, this study introduces an application of Multilevel Regression Models to studies on democratization. Such models fit observed data on world democratization better than the simple regression models used in most previous studies.

scholarly journals Trends in the prevalence of cognitive impairment in Chinese older adults: based on the Chinese Longitudinal Healthy Longevity Survey cohorts from 1998 to 2014

2020 ◽  
Vol 12 (5) ◽  
pp. 378-387
Author(s):  
Weihong Kuang ◽  
Mingyue Gao ◽  
Liantian Tian ◽  
Yang Wan ◽  
Peiyuan Qiu
Keyword(s):  
Cognitive Impairment ◽  
Daily Living ◽  
Regression Models ◽  
Mini Mental State Examination ◽  
Female Gender ◽  
Multilevel Regression ◽  
Chinese Older Adults ◽  
Healthy Longevity ◽  
Cognitive Activities ◽  
State Examination

Abstract In the context of a rapidly ageing Chinese population, this study aims to examine trends in the prevalence of cognitive impairment among people ≥65 y of age in China. Our sample is 72 821 adults aged 65–105 y from the seven waves of the Chinese Longitudinal Healthy Longevity Survey, a national mixed longitudinal cohort. The Chinese version of the Mini-Mental State Examination was used to measure CI. Risk factor-adjusted prevalence trend was examined using multilevel regression models. Age-standardized prevalence of cognitive impairment increased from 11.00% in 1998 to 11.84% in 2008 and decreased to 8.88% in 2014. Older age, female gender, less education, rural residence, not married, lack of physical and cognitive activities, suffering from stroke, vision and hearing impairment, and activities of daily living disability were negatively associated with cognitive impairment. Our study suggests a decreasing trend of cognitive impairment prevalence in China. However, whether decreasing prevalence will contribute to a reduced burden of cognitive impairment given the ageing of the population is unknown.

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