scholarly journals Changes in Transportation During the COVID-19 Pandemic: Results From a Survey of Middle-Aged and Older Floridians

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 127-127
Author(s):  
Anne Barrett ◽  
Cherish Michael ◽  
Jessica Noblitt
Keyword(s):  
Online Survey ◽  
Multivariate Analyses ◽  
Road User ◽  
Department Of Transportation ◽  
Life Changes ◽  
User Program ◽  
Working At Home ◽  
Florida Department ◽  
Transportation Modes ◽  
Using Data

Abstract The pandemic’s numerous effects on everyday life include reductions in driving and changes in the use of other transportation modes, like getting rides from family and friends, walking, and biking. Aside from broad patterns, however, little is known about these changes, including how they affected different groups of the population and how they felt about them. Our study addresses these issues using data collected from an online survey of over 4,000 Floridians aged 50 or older, conducted between December 2020 and April 2021 and funded by the Florida Department of Transportation to support its aging road user program, Safe Mobility for Life. Changes in driving and in rides from family and friends were more striking than those in other transportation modes. Nearly 30 percent of respondents decreased their driving during the pandemic, while 20 percent got fewer rides from family and 25 percent got fewer rides from friends. In contrast, only 11 percent decreased their walking, and the same percentage increased it. Less common were changes in biking, with percent 7 decreasing and only 4 percent increasing it. Multivariate analyses revealed that these changes were influenced by gender, race, age, socioeconomic status, and health. Further insight was gained from analysis of an open-ended item, revealing positive and negative assessments of the changes. Positive assessments centered on feeling satisfied with working at home, spending more time outdoors, having more free time, and saving money. Negative assessments centered on social isolation, dissatisfaction with government responses to the pandemic, and reduced transportation options.

Audience expectations of journalism: What’s politics got to do with it?

Journalism ◽  
2020 ◽  
pp. 146488492097642
Author(s):  
Andreas Riedl ◽  
Jakob-Moritz Eberl
Keyword(s):  
Online Survey ◽  
Multivariate Analyses ◽  
Political Attitudes ◽  
Media Use ◽  
Role Orientations ◽  
Using Data ◽  
Economic Foundations

Audience expectations of journalism are a crucial dimension not only to understand journalism’s public legitimacy and institutional character but also its economic foundations in terms of consumers’ prospects. Although we see a critically growing disconnect between the audience and journalism, we know little about what the audience actually expects from journalism and what explains audience expectations. Using data from an online survey among the audience ( n = 2775) as well as professional journalists ( n = 818), this study compares audience expectations of journalism with journalists’ role orientations in Austria. Furthermore, multivariate analyses particularly aim to explore the role of political parameters for the understanding of audience expectations of journalism. Results show both congruencies and discrepancies between citizens’ and journalists’ perception of specific functions of journalism and that – besides media use – political attitudes may very well play an important role.

Siblings and Illness

2011 ◽  
Vol 7 ◽  
Author(s):  
Leah Sawyer Vanderwerp
Keyword(s):  
Depressive Symptoms ◽  
Birth Order ◽  
Family Size ◽  
Multivariate Analyses ◽  
Social Role ◽  
Chronically Ill ◽  
Demographic Variables ◽  
Future Research ◽  
Mother And Child ◽  
Using Data

Using data from the National Longitudinal Survey of Youth-Mother and Child samples, I investigated the relationships among child and adolescent depressive symptoms, having a chronically ill sibling, and other child and familial demographic variables. From research on social support and social role transitions, with the Stress Process as a theoretical model, I hypothesized that children with chronically ill siblings experience more depressive symptoms. Specifically, I looked at age, gender, birth order and family size as potentially reducing the effect size of having a chronically ill sibling. Findings showed that having a chronically ill sibling is associated with demonstrating more depressive symptoms both in the bivariate and multivariate analyses. Although age, gender, birth order and family size do not interact significantly with having a chronically ill sibling in predicting depressive symptoms, they do present interesting findings about childhood depressive symptoms in general. Thus, the results of this study suggest specific and meaningful paths for future research.

Comparing respondents who passed versus failed an Instructional Manipulation Check: A case study about support for climate change policies

2021 ◽  
Vol 63 (4) ◽  
pp. 408-415
Author(s):  
Maria Rubio Juan ◽  
Melanie Revilla
Keyword(s):  
Climate Change ◽  
External Validity ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Manipulation Check ◽  
Climate Change Policies ◽  
Instructional Manipulation ◽  
Using Data

The presence of satisficers among survey respondents threatens survey data quality. To identify such respondents, Oppenheimer et al. developed the Instructional Manipulation Check (IMC), which has been used as a tool to exclude observations from the analyses. However, this practice has raised concerns regarding its effects on the external validity and the substantive conclusions of studies excluding respondents who fail an IMC. Thus, more research on the differences between respondents who pass versus fail an IMC regarding sociodemographic and attitudinal variables is needed. This study compares respondents who passed versus failed an IMC both for descriptive and causal analyses based on structural equation modeling (SEM) using data from an online survey implemented in Spain in 2019. These data were analyzed by Rubio Juan and Revilla without taking into account the results of the IMC. We find that those who passed the IMC do differ significantly from those who failed for two sociodemographic and five attitudinal variables, out of 18 variables compared. Moreover, in terms of substantive conclusions, differences between those who passed and failed the IMC vary depending on the specific variables under study.

scholarly journals A preoperative nomogram predicts prognosis of patients with hepatocellular carcinoma after liver transplantation: a multicenter retrospective study

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dabing Huang ◽  
Yinan Shen ◽  
Wei Zhang ◽  
Chengxiang Guo ◽  
Tingbo Liang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Transplantation ◽  
Adjuvant Therapy ◽  
Validation Cohort ◽  
Multivariate Analyses ◽  
Meld Score ◽  
Blood Type ◽  
Intermediate Risk ◽  
Final Model ◽  
Using Data

Abstract Background Although criteria for liver transplantation, such as the Milan criteria and Hangzhou experiences, have become popular, criteria to guide adjuvant therapy for patients with hepatocellular carcinoma after liver transplantation are lacking. Methods We collected data from all consecutive patients from 2012 to 2019 at three liver transplantation centers in China retrospectively. Univariate and multivariate analyses were used to analyze preoperative parameters, such as demographic and clinical data. Using data obtained in our center, calibration curves and the concordance Harrell’s C-indices were used to establish the final model. The validation cohort comprised the patients from the other centers. Results Data from 233 patients were used to construct the nomogram. The validation cohort comprised 36 patients. Independent predictors of overall survival (OS) were identified as HbeAg positive (P = 0.044), blood-type compatibility unmatched (P = 0.034), liver transplantation criteria (P = 0.003), and high MELD score (P = 0.037). For the validation cohort, to predict OS, the C-index of the nomogram was 0.874. Based on the model, patients could be assigned into low-risk (≥ 50%), intermediate-risk (30–50%), and high-risk (≤ 30%) groups to guide adjuvant therapy after surgery and to facilitate personalized management. Conclusions The OS in patients with hepatocellular carcinoma after liver transplantation could be accurately predicted using the developed nomogram.

scholarly journals Psychological Factors Affecting Risk Perception of COVID-19: Evidence from Peru and China

2021 ◽  
Vol 18 (12) ◽  
pp. 6513
Author(s):  
Fredy S. Monge-Rodríguez ◽  
He Jiang ◽  
Liwei Zhang ◽  
Andy Alvarado-Yepez ◽  
Anahí Cardona-Rivero ◽  
...  
Keyword(s):  
Risk Perception ◽  
Risk Communication ◽  
Online Survey ◽  
Factors Affecting ◽  
Self Confidence ◽  
Global Pandemic ◽  
Negative Effect ◽  
The Government ◽  
Using Data ◽  
Health Field

COVID-19 has spread around the world, causing a global pandemic, and to date is impacting in various ways in both developed and developing countries. We know that the spread of this virus is through people’s behavior despite the perceived risks. Risk perception plays an important role in decision-making to prevent infection. Using data from the online survey of participants in Peru and China (N = 1594), data were collected between 8 July 31 and August 2020. We found that levels of risk perception are relatively moderate, but higher in Peru compared to China. In both countries, anxiety, threat perception, self-confidence, and sex were found to be significant predictors of risk perception; however, trust in the information received by government and experts was significant only in Peru, whereas self-confidence had a significant negative effect only for China. Risk communication should be implemented through information programs aimed at reducing anxiety and improving self-confidence, taking into consideration gender differences. In addition, the information generated by the government should be based on empirical sources. Finally, the implications for effective risk communication and its impacts on the health field are discussed.

Conversation at Work

2016 ◽  
Vol 44 (2) ◽  
pp. 177-197 ◽  
Author(s):  
Guowei Jian ◽  
Francis Dalisay
Keyword(s):  
Social Exchange ◽  
Social Exchange Theory ◽  
Online Survey ◽  
Organizational Outcomes ◽  
Potential Interaction ◽  
Exchange Theory ◽  
Leader Member Exchange ◽  
Member Exchange ◽  
Communication Frequency ◽  
Using Data

Although research has made significant gains in understanding the constitutive nature of conversation in the process of organizing, its predictive effects on organizational outcomes are still uncertain. To contribute in this direction, based on social exchange theory and leader-member exchange (LMX) research, this study examined the predictive effects of leader-member conversational quality (LMCQ) on employee organizational commitment (OC), and the potential interaction effects of LMCQ with LMX quality. Using data from an online survey, this study found that above and beyond communication frequency and other control variables, LMCQ is significantly associated with employee OC. More interestingly, the effects of LMCQ vary based on the level of LMX quality. These findings have significant implications at both theoretical and practical levels.

Determining Minimum Contract Time for Highway Projects

2000 ◽  
Vol 1712 (1) ◽  
pp. 196-201 ◽  
Author(s):  
Jin-Fang Shr ◽  
Benjamin P. Thompson ◽  
Jeffrey S. Russell ◽  
Bin Ran ◽  
H. Ping Tserng
Keyword(s):  
Low Cost ◽  
Road User ◽  
User Cost ◽  
Time Curve ◽  
Highway Projects ◽  
The Road ◽  
State Highway ◽  
Florida Department ◽  
The Cost ◽  
State Highway Agencies

An increasing number of state highway agencies (SHAs) are using A (cost) + B (time cost) bidding ( A + B bidding) for highway construction. The A + B bidding concept is designed to shorten the total contract time by allowing each contractor to bid the number of days in which the work can be accomplished, in addition to the traditional cost bid. The SHA is then presented with the problem of determining a reasonable range of contract time submitted by the bidders. Most SHAs do not currently restrict the range of B. However, several problems may arise from an unrestricted range of B. First, if no minimum is set for B, a bidder may inflate the cost bid and submit an unreasonably low B, using the excess cost bid to cover the disincentives charged for exceeding the time bid. Second, if no maximum is set for B, then a bidder with a high B and a low-cost bid may be awarded the job and make an unreasonable amount of money from incentive payments. This study develops a quantified model of the price-time bidding contract. A construction cost-versus-time curve is developed from Florida Department of Transportation (DOT) data. The contractor’s price-versus-time curve is then combined with the road-user cost to determine the optimum lower limit to be set on B. Finally, several projects completed by the Florida DOT will be used to illustrate this model.

Bureaucratic organization and innovation : a mixed-methods study of U.S. State Department of Transportation website adoption

2017 ◽  
Author(s):  
◽  
A. J. Million
Keyword(s):  
Mixed Methods ◽  
Online Survey ◽  
State Level ◽  
State Department ◽  
Third Parties ◽  
Department Of Transportation ◽  
Structured Interviews ◽  
University Of Missouri ◽  
Bureaucratic Organization ◽  
Barriers To Change

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] This study explores bureaucratic organization and innovation in U.S. state department of transportation (DOT) websites. To determine if working with third parties fosters change in state DOT websites, it employs a two-part, explanatory sequential mixed-methods design. In phase one, an online survey was disseminated to IT managers and communications officers in all 50 states to collect data regarding agency demographics, bureaucratic models, and Web infrastructure. In total, 45 valid responses (or 90 percent) were received from DOTs indicating that most built, hosted, and managed their websites in-house, but that state-level IT consolidations required many to pool resources with third parties. In research phase two, 12 semi-structured interviews were conducted of a maximum variation sample of survey respondents. These interviews were conducted to explain why DOTs built and operated their websites with the support of third parties. Employing a grounded theoretical approach, analysis revealed 6 themes explaining website adoption and showed that working with third parties can foster innovation; however, not all change is positive. Therefore, a need exists for governments to selectively work with others, ascertain future barriers to change, and ensure that adopted innovations meet desired ends. Finally, five best practices informed by study findings are presented that may help decision-makers and civil servants provide e-government services in a flexible manner.

Assessing the Job Satisfaction of Registered Nurses Using Sentiment Analysis and Clustering Analysis

2021 ◽  
pp. 107755872110352
Author(s):  
Matthew Jura ◽  
Joanne Spetz ◽  
Der-Ming Liou
Keyword(s):  
Job Satisfaction ◽  
Registered Nurses ◽  
Sentiment Analysis ◽  
Support Services ◽  
Clustering Analysis ◽  
Multivariate Analyses ◽  
Free Text ◽  
Registered Nursing ◽  
High Satisfaction ◽  
Using Data

Job satisfaction is a critical component of the professional work environment and is often ascertained through surveys that include structured or open-ended questions. Using data from 24,543 respondents to California Board of Registered Nursing biennial surveys, this study examines the job satisfaction of registered nurses (RNs) by applying clustering analysis to structured job satisfaction items and sentiment analysis to free-text comments. The clustering analysis identified three job satisfaction groups (low, medium, and high satisfaction). Sentiment analysis scores were significantly associated with the job satisfaction groups in both bivariate and multivariate analyses. Differences between the job satisfaction clusters were mostly driven by satisfaction with workload, adequacy of the clerical support services, adequacy of the number of RN staff, and skills of RN colleagues. In addition, there was dispersion in satisfaction related to involvement in management and policy decisions, recognition for a job well done, and opportunities for professional development.

scholarly journals Testing the quality of underground transport in Bucharest

2017 ◽  
Vol 11 (1) ◽  
pp. 1088-1100
Author(s):  
Alexandru Statescu
Keyword(s):  
Data Collection ◽  
Online Survey ◽  
Good Representation ◽  
Statistical Research ◽  
Railway Network ◽  
Passenger Traffic ◽  
Level Data ◽  
Subway Stations ◽  
Using Data

Abstract In a city with overcrowded traffic, a component of the common transport is Bucharest transportation of metro (subway passenger transport on the railway network underground and surface) and is the core activity of METROREX S.A. The company aims each year a greater number of passengers according to the charts of the movement of subway trains to ensure adequate transport capacity as required and optimal conditions of comfort and safety. Each year, the company aims to find out the opinion of passengers on the transport conditions and, in this respect, organize a survey with the aim of testing the quality of underground transport in Bucharest in 16 subway stations considered to be representative. In this paper I intend to do an analysis using statistical research methods, of the quality of underground transport in Bucharest, using data from the survey conducted in the year 2014. Data collection in the stations was realized through 32 operators, by 2 in each station (one in each direction of travel) by completing questionnaires (using interview technique or face to face technique), using a sample considered representative of 2,400 travelers with a margin of error of ± 2% on a 95% probability level. Data collection was made during the period when passenger traffic is large enough to provide a good representation of data and cover the entire program running underground. The questionnaire contains eight questions that have allowed those who responded to the survey to fit in the time between trains in circulation. In 2016, the structure of the questionnaire was modified, questions were modified for a more effective assessment of characteristics of observation. The answers to the questions contained in the questionnaire were collected by operators in the 16 subway stations: Piața Unirii 1 and 2, Piața Victoriei 1 and 2, Dristor 2, Nicolae Grigorescu, Universitate, Piața Sudului, Pipera, Eroilor, Gara de Nord 1, Obor, Crângași, Pantelimon, Parc Bazilescu and 1 December 1918, analyzed and processed based on 2400 questionnaires. A new category of polls states in the present and is determined by evolutions in computer networks and communication, are called online surveys conducted on the Web. Also in this paper, I propose the implementation of a solution based on an online survey website that includes the online version of the questionnaire used to collect data from the virtual environment.

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