Factors Influencing Online Poll Participation

2015 ◽  
pp. 1462-1473
Author(s):  
Kevin Wenyuan Zhao ◽  
Louis Leung

The purpose of this study is to examine the degree of participation in online polls and its relationship to the perception of online polls, information literacy, and the political efficacy of Internet users in mainland China. Data was gathered online from a sample of 419 Internet users. Results show that perceptions of both the usefulness and trustworthiness of online polls positively correlated to participation in online polls but not to information literacy or to political efficacy. Contrary to expected results, political efficacy did not relate to online poll participation. However, regression results suggested that Internet users who often participated in online polls were usually males who were literate in publishing and believed that online polls were an effective and trustworthy means to express opinions on public issues. Limitations and implications for future studies are discussed.

Author(s):  
Kevin Wenyuan Zhao ◽  
Louis Leung

The purpose of this study is to examine the degree of participation in online polls and its relationship to the perception of online polls, information literacy, and the political efficacy of Internet users in mainland China. Data was gathered online from a sample of 419 Internet users. Results show that perceptions of both the usefulness and trustworthiness of online polls positively correlated to participation in online polls but not to information literacy or to political efficacy. Contrary to expected results, political efficacy did not relate to online poll participation. However, regression results suggested that Internet users who often participated in online polls were usually males who were literate in publishing and believed that online polls were an effective and trustworthy means to express opinions on public issues. Limitations and implications for future studies are discussed.


2020 ◽  
pp. 000313482097372
Author(s):  
James M. Bardes ◽  
Daniel J. Grabo ◽  
Sijin Wen ◽  
Alison Wilson

Introduction Fibrinolysis (lysis) has been extensively studied in trauma patients. Many studies on the distribution of lysis phenotype have been conducted in setting with short prehospital time. This study aimed to evaluate the distribution of lysis phenotypes in a population with prolonged prehospital times in a rural environment. Methods A retrospective study was performed at an American College of Surgeons-verified level 1 trauma center, serving a large rural population. Full trauma team activations from January 1, 2017 to August 31, 2018 were evaluated, and all patients with an ISS>15 analyzed. Thromboelastography was routinely performed on all participants on arrival. Lysis phenotypes were classified based on LY30 results: shutdown (≤.8%), physiologic (.9-2.9%), and hyper (>2.9%). Results 259 patients were evaluated, 134 (52%) presented direct from the scene. For scene patients, lysis distribution was 24% physiologic, 49% shutdown, and 27% hyper. Transferred patients demonstrated a reduction in physiologic lysis to 14% ( P = .03), shutdown present in 66%, and hyper in 20%. Empiric prehospital tranexamic acid was given to 18 patients, physiologic lysis was present in 6%, shutdown 72%, and hyper 22%; this increase was not statistically significant ( P = .5). Conclusion Fibrinolysis phenotypes are not consistent across all trauma populations. This study showed rural trauma patients had a significantly increased rate of pathologic lysis. This was consistent for scene and transfer patients who received care at another facility prior to arrival for definitive care. Future studies to evaluate the factors influencing these differences are warranted.


2015 ◽  
Vol 5 (1) ◽  
pp. 38-50 ◽  
Author(s):  
Rajyalakshmi Nittala

This study examines the factors influencing online shopping behavior of urban consumers in the State of Andhra Pradesh, India and provides a better understanding of the potential of electronic marketing for both researchers and online retailers. Data from a sample of 1500 Internet users (distributed evenly among six selected major cities) was collected by a structured questionnaire covering demographic profile and the factors influencing online shopping. Factor analysis and multiple regression analysis are used to establish relationship between the factors influencing online shopping and online shopping behavior. The study identified that perceived risk and price positively influenced online shopping behavior. Results also indicated that positive attitude, product risk and financial risk affect negatively the online shopping behavior.


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