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Journal articles on the topic 'Online survey'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 January 2023

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1

Ball, Helen L. "Conducting Online Surveys." Journal of Human Lactation 35, no. 3 (May 14, 2019): 413–17. http://dx.doi.org/10.1177/0890334419848734.

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There is an established methodology for conducting survey research that aims to ensure rigorous research and robust outputs. With the advent of easy-to-use online survey platforms, however, the quality of survey studies has declined. This article summarizes the pros and cons of online surveys and emphasizes the key principles of survey research, for example questionnaire validation and sample selection. Numerous texts are available to guide researchers in conducting robust survey research online, however this is neither a quick nor easy undertaking. While online survey websites and software are useful for assisting in questionnaire design and delivery, they can also introduce sources of bias. Researchers considering conducting online surveys are encouraged to read carefully about how the principles of survey research can be applied to online formats in order to reduce bias and enhance rigor. In addition to alerting researchers to the pitfalls of online surveys this article also aims to equip readers of this journal with the knowledge of how to critically appraise publications based on online surveys.

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Hiskey, Syd, and Nicholas A. Troop. "Online Longitudinal Survey Research." Social Science Computer Review 20, no. 3 (August 2002): 250–59. http://dx.doi.org/10.1177/089443930202000303.

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3

Taragin, Benjamin H., Lei Feng, and Carrie Ruzal-Shapiro. "Online Radiology Appropriateness Survey." Academic Radiology 10, no. 7 (July 2003): 781–85. http://dx.doi.org/10.1016/s1076-6332(03)80123-x.

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4

Albers, Susanne. "Online algorithms: a survey." Mathematical Programming 97, no. 1 (July 2003): 3–26. http://dx.doi.org/10.1007/s10107-003-0436-0.

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5

Corrigan, Ralph. "Survey of online resources." Early Music 47, no. 1 (February 2019): 117–19. http://dx.doi.org/10.1093/em/caz014.

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6

Gordon, Jeffry S., and Ryan McNew. "Developing the Online Survey." Nursing Clinics of North America 43, no. 4 (December 2008): 605–19. http://dx.doi.org/10.1016/j.cnur.2008.06.011.

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Ritter, Lois A., and Valerie M. Sue. "Managing online survey data." New Directions for Evaluation 2007, no. 115 (2007): 51–55. http://dx.doi.org/10.1002/ev.236.

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Pieterse, C. M., and C. M. H. H. van Houtem. "Online survey on dental anxiety results." Nederlands Tijdschrift Voor Tandheelkunde 129, no. 11 (November 8, 2022): 487–90. http://dx.doi.org/10.5177/ntvt.2022.11.22087.

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9

Sanjeev, M. A., and Parul Balyan. "Response Order Effects in Online Surveys." International Journal of Online Marketing 4, no. 2 (April 2014): 28–44. http://dx.doi.org/10.4018/ijom.2014040103.

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Online surveys are fast becoming the favourite tools of researchers due to various advantages they offer like ease of administration, reduced survey cost and real time data analysis. However they also have their drawbacks like any survey method; some of them being lack of population representativeness due to digital divide, consideration of the survey as spam eliciting low responses and technical glitches. Survey errors are generally classified in to two groups of Sampling & non-Sampling errors. Respondent errors, one of the most widely studied non- Sampling errors consist of Primacy and recency effects. The response order effects both Primacy and Recency have not been studied in online surveys according to accessible literatures; though their effect in oral and paper -pencil surveys are well documented. The existence of respondent errors in online surveys may vary vastly from other survey methods due to the respondent characteristics like higher education levels, control on the response setting and time and independence in response in the absence of a survey administrator. Using an experimental design we examined and provided preliminary evidence for response order effect (Primacy effect) in online surveys. We have also explored the impact of question complexity and questionnaire length on response order effects. The results indicate the existence of response order effects in online surveys, much like the traditional methods. The result also indicates the exacerbation of response errors due to question complexity and questionnaire length. Our study may offer valid insights and ideas to survey researchers, who use online survey tools, to reduce response order effects and thereby make their survey results more accurate.

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Nazli, Tamanna. "Covid-19 Pandemic and “Feeling Depressed”: An Online Survey." Epidemiology International 05, no. 02 (April 17, 2020): 27–31. http://dx.doi.org/10.24321/2455.7048.202014.

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Effendi, Muhammad Ridwan, Susiana Dewi Ratih, and Firdaus Firdaus. "Information System Design Of Online Survey On Employee Performance Web-Based Online Survey." INFOKUM 10, no. 5 (November 9, 2022): 1–6. http://dx.doi.org/10.58471/infokum.v10i5.838.

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This paper aims to describe a web-based online survey information system that has been designed reliably, so as to produce faster, more accurate and relevant information and reports as needed. The sources and types of data used were obtained through field studies and literature studies. Among them by conducting direct observations and interviews on the object of research and supported by appropriate literature. While the data analysis method used is descriptive qualitative method. From the results of the research that the researchers have done, it is found that the constraints of the system that are currently running, include: a lot of paper is wasted due to making survey questionnaires, the survey filling process must be awaited and must be face to face, the report generation process is too long because the calculations are still ongoing. manuals, and so on. Circumstances like this have prompted the author to create an online survey information system and it is hoped that this information system will be able to overcome the above problems and anticipate them.

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Nakano, Hironori, Kayoko Ishii, Aya Goto, Seiji Yasumura, Tetsuya Ohira, and Keiya Fujimori. "Development and Implementation of an Internet Survey to Assess Community Health in the Face of a Health Crisis: Data from the Pregnancy and Birth Survey of the Fukushima Health Management Survey, 2016." International Journal of Environmental Research and Public Health 16, no. 11 (June 1, 2019): 1946. http://dx.doi.org/10.3390/ijerph16111946.

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The Pregnancy and Birth Survey of the Fukushima Health Management Survey is a questionnaire survey that has been conducted annually since 2011 in Fukushima Prefecture. Since 2016, the survey has been available online as well as in paper form. This study aimed to determine whether making the survey available online improved response rates and to identify the characteristics of paper and online survey respondents and their results. Using LimeSurvey, we constructed an online survey environment that enabled responses via computer or mobile device. Respondents could choose whether to respond on paper or online. The response rate for the 2016 survey was 51.8%, an increase of 3.5% over the previous year. Of these responses, 15.8% were made online. Online respondents were mostly primiparous. Further, while there was no difference in the percentage of respondents who provided free responses, the amount written was higher in paper surveys than in online surveys. The combination of paper and online surveys increased convenience for respondents and contributed to improved response rates. In addition, paper surveys were superior in terms of allowing respondents to express their feelings and opinions.

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13

Evans, Joel R., and Anil Mathur. "The value of online surveys: a look back and a look ahead." Internet Research 28, no. 4 (August 6, 2018): 854–87. http://dx.doi.org/10.1108/intr-03-2018-0089.

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Purpose The purpose of this paper is to present a detailed and critical look at the evolution of online survey research since Evans and Mathur’s (2005) article on the value of online surveys. At that time, online survey research was in its early stages. Also covered are the present and future states of online research. Many conclusions and recommendations are presented. Design/methodology/approach The look back focuses on online surveys, strengths and weaknesses of online surveys, the literature on several aspects of online surveys and online survey best practices. The look ahead focuses on emerging survey technologies and methodologies, and new non-survey technologies and methodologies. Conclusions and recommendations are provided. Findings Online survey research is used more frequently and better accepted by researchers than in 2005. Yet, survey techniques are still regularly transformed by new technologies. Non-survey digital research is also more prominent than in 2005 and can better track actual behavior than surveys can. Hybrid surveys will be widespread in the future. Practical implications The paper aims to provide insights for researchers with different levels of online survey experience. And both academics and practitioners should gain insights. Social implications Adhering to a strong ethics code is vital to gain respondents’ trust and to produce valid results. Originality/value Conclusions and recommendations are offered in these specific areas: defining concepts, understanding the future role of surveys, developing and implementing surveys and a survey code of ethics. The literature review cites more than 200 sources.

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Revilla, Melanie, and Jan Karem Höhne. "How long do respondents think online surveys should be? New evidence from two online panels in Germany." International Journal of Market Research 62, no. 5 (July 23, 2020): 538–45. http://dx.doi.org/10.1177/1470785320943049.

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In recent years, the number of surveys, especially online surveys, has increased dramatically. Due to the absence of interviewers in this survey mode (who can motivate the respondents to continue answering), some researchers and practitioners argue that online surveys should not be longer than 20 min. However, so far, there has been little research investigating how long respondents think that online surveys should or could be. In this study, we therefore asked respondents of two online panels in Germany (one probability-based panel and one nonprobability panel) about their opinions on the ideal and maximum lengths of surveys. We also investigated whether socio-demographic, personality-related, and survey-related variables were associated with the ideal and maximum lengths reported by respondents. Finally, we compared the stated and observed survey lengths to evaluate the extent to which respondents are able to accurately estimate survey length. Our results suggest that the ideal length of an online survey is between 10 and 15 min and the maximum length is between 20 and 28 min, depending on the measure of central tendency (mean or median) used and the panel. Moreover, we found significant effects of socio-demographics (gender, age, education, and number of persons in household), of personality traits, and survey-related questions (whether the respondents liked the survey, found it easy, and answered from a PC) on at least one of the dependent variables (ideal or maximum lengths). Finally, we found only small differences (less than two min) between stated and observed lengths.

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15

Whicker, Shari. "Free Online Surveys Knowledgebase. 2005. Online survey tool. St. Austell, Cornwall, UK: Interspire. freeonlinesurvey.com." Human Resource Development Quarterly 18, no. 1 (2007): 149–51. http://dx.doi.org/10.1002/hrdq.1196.

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Hoi, Steven C. H., Doyen Sahoo, Jing Lu, and Peilin Zhao. "Online learning: A comprehensive survey." Neurocomputing 459 (October 2021): 249–89. http://dx.doi.org/10.1016/j.neucom.2021.04.112.

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Aleksandrov, Martin, and Toby Walsh. "Online Fair Division: A Survey." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 09 (April 3, 2020): 13557–62. http://dx.doi.org/10.1609/aaai.v34i09.7081.

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We survey a burgeoning and promising new research area that considers the online nature of many practical fair division problems. We identify wide variety of such online fair division problems, as well as discuss new mechanisms and normative properties that apply to this online setting. The online nature of such fair division problems provides both opportunities and challenges such as the possibility to develop new online mechanisms as well as the difficulty of dealing with an uncertain future.

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18

Dwibedy, Debasis, and Rakesh Mohanty. "Semi-online scheduling: A survey." Computers & Operations Research 139 (March 2022): 105646. http://dx.doi.org/10.1016/j.cor.2021.105646.

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19

S, Tejaswini, and Azra Nasreen. "Survey on Online Log Parsers." International Journal of Engineering and Advanced Technology 10, no. 5 (June 30, 2021): 324–30. http://dx.doi.org/10.35940/ijeat.e2816.0610521.

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Technological dependence is growing in leaps and bounds as days progress. As a result, software applications are required to be up and running at all times without fail. The health and safety of these applications need to be monitored regularly by theuse of constant logging of any faults that occur at their runtime executions. Log analysis techniques are applied to recorded logsto obtain a better overview of how to handle failures and health deterioration. Before these algorithms can be utilized in practice, the raw unstructured logs need to be converted into structured log events. This process is performed by log parsers, which are accessible in two different modes – offline and online. While offline log parsers have a predefined knowledge base containing templates and conversion rules, online log parsers learn new templates on the job. This paper focuses on surveying and creating a comparative study on online log parses by analysing the type of technique used, efficiency and accuracy of the parser on a given dataset, time complexity, and their effectiveness in motivating applications.

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Shaeer, Osama, and Kamal Shaeer. "The Global Online Sexuality Survey." Human Andrology 3, no. 3 (September 2013): 72–75. http://dx.doi.org/10.1097/01.xha.0000432478.15222.20.

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Shaeer, Osama, and Kamal Sheer. "The Global Online Sexuality Survey." Human Andrology 5, no. 3 (September 2015): 45–48. http://dx.doi.org/10.1097/01.xha.0000469536.57747.e7.

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Kore, Tejaswini M., Shivani S. Kolge, Amay D. Kumbhar, and Laxman S. Naik. "Survey on Online Examination System." Research Journal of Science and Technology 7, no. 2 (2015): 118. http://dx.doi.org/10.5958/2349-2988.2015.00015.7.

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23

Mei, Bing, and Gavin T. L. Brown. "Conducting Online Surveys in China." Social Science Computer Review 36, no. 6 (September 8, 2017): 721–34. http://dx.doi.org/10.1177/0894439317729340.

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Using online surveys is becoming increasingly extensive and widespread. Social science research in China is no exception. However, due to contextual factors (e.g., technological constraints, social and cultural norms, and language barriers), prior successful methods may not apply. This article reports an alternative way of conducting online surveys in China, by combining local commercial online survey service providers with indigenous Web 2.0 applications. The case study demonstrates the feasibility of this approach and provides practical advice (e.g., adding incentives) on how to effectively conduct online survey in China.

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24

Allen, Peter J., and Lynne D. Roberts. "The Ethics of Outsourcing Online Survey Research." International Journal of Technoethics 1, no. 3 (July 2010): 35–48. http://dx.doi.org/10.4018/jte.2010070104.

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The increasing level of Internet penetration over the last decade has made web surveying a viable option for data collection in academic research. Software tools and services have been developed to facilitate the development and deployment of web surveys. Many academics and research students are outsourcing the design and/or hosting of their web surveys to external service providers, yet ethical issues associated with this use have received limited attention in academic literature. In this article, the authors focus on specific ethical concerns associated with the outsourcing of web surveys with particular reference to external commercial web survey service providers. These include threats to confidentiality and anonymity, the potential for loss of control over decisions about research data, and the reduced credibility of research. Suggested guidelines for academic institutions and researchers in relation to outsourcing aspects of web-based survey research are provided.

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Early, Kirstin, Jennifer Mankoff, and Stephen E. Fienberg. "Dynamic Question Ordering in Online Surveys." Journal of Official Statistics 33, no. 3 (September 1, 2017): 625–57. http://dx.doi.org/10.1515/jos-2017-0030.

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Abstract Online surveys have the potential to support adaptive questions, where later questions depend on earlier responses. Past work has taken a rule-based approach, uniformly across all respondents. We envision a richer interpretation of adaptive questions, which we call Dynamic Question Ordering (DQO), where question order is personalized. Such an approach could increase engagement, and therefore response rate, as well as imputation quality. We present a DQO framework to improve survey completion and imputation. In the general survey-taking setting, we want to maximize survey completion, and so we focus on ordering questions to engage the respondent and collect hopefully all information, or at least the information that most characterizes the respondent, for accurate imputations. In another scenario, our goal is to provide a personalized prediction. Since it is possible to give reasonable predictions with only a subset of questions, we are not concerned with motivating users to answer all questions. Instead, we want to order questions to get information that reduces prediction uncertainty, while not being too burdensome. We illustrate this framework with two case studies, for the prediction and survey-taking settings. We also discuss DQO for national surveys and consider connections between our statistics-based question-ordering approach and cognitive survey methodology.

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Miura, Asako, Atsushi Oshio, Shinya Yoshino, and Setsuko Jifuku. "Evolution of online survey and psychological research: Beyond Web surveys." Proceedings of the Annual Convention of the Japanese Psychological Association 84 (September 8, 2020): IS—001—IS—001. http://dx.doi.org/10.4992/pacjpa.84.0_is-001.

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Chan, Mylene. "EEOC Survey Reports: Online Mediation Works. Online Mediation Is Better?" Alternatives to the High Cost of Litigation 40, no. 7 (June 24, 2022): 106–20. http://dx.doi.org/10.1002/alt.21956.

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Zhang, Xiao, Yun Liao, and Shizhong Liao. "A survey on online kernel selection for online kernel learning." Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9, no. 2 (November 28, 2018): e1295. http://dx.doi.org/10.1002/widm.1295.

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Gardhouse, Christine, Matt Hurst, Sujani Sivanantharajah, and Nadia Ciampa. "The use of an online survey for collecting food exposure information, Foodbook sub-study, February to April 2015." Canada Communicable Disease Report 47, no. 1 (January 29, 2021): 23–29. http://dx.doi.org/10.14745/ccdr.v47i01a05.

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Background: During foodborne illness outbreak investigations, comparing food exposure frequencies of cases to those of a control population can help identify suspect food sources. The Public Health Agency of Canada (PHAC) conducted an online survey between February and April 2015 to collect seven-day food exposures from a convenience sample. The study period overlapped with a national, population-based exposure survey being conducted via telephone using random digit dialling. A subset of the food exposure questions from the telephone-based survey was included in the online survey. Objective: The online survey study objectives were to: 1) describe the survey methodology, survey respondents and response behaviour; and 2) determine if the online methodology is an appropriate alternative to telephone surveys by comparing food exposures. Methods: The online survey link was distributed via email to employees and public health partners, and was promoted on the PHAC website and social media channels. Results: In total 2,100 surveys were completed. The majority of respondents were female, with high income and education, aged 30 to 39 years. The proportion reporting consuming the food items in the online survey was generally higher than those reported in the telephone survey, with a mean difference of 6.0% (95% CI: 4.2, 7.8). Conclusion: In an outbreak investigation, the 6.0% bias could make it more difficult to detect a difference between the case and control food exposures. Nevertheless, given the speed of response and lower resource expenditure of online surveys as well as the willing, able and convenient sample, a bias of 6.0% is considered small enough to be acceptable for future surveys.

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Arya, Jyoti, and Swati Patel. "Online Survey Study on COVID-19 Vaccination Awareness in Indian Population." SSR Institute of International Journal of Life Sciences 7, no. 3 (May 2021): 2818–26. http://dx.doi.org/10.21276/ssr-iijls.2021.7.3.4.

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S, Shanthi, Ilakkiyavani R, and Amsaveni P. "A Survey on Web Based Application of Secure Online Voting System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 1546–51. http://dx.doi.org/10.31142/ijtsrd11483.

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Shanmugapriya, Mrs S., Mr Manikandan, and S. Karpaga Meenakshi. "A Survey On Online Corporate Job Recruiting Process Using Cloud Computing." International Journal of Trend in Scientific Research and Development Special Issue, Special Issue-Active Galaxy (June 30, 2018): 21–24. http://dx.doi.org/10.31142/ijtsrd14561.

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Sahu, Chinmoy. "Using Webinar Polls to Collect Online Survey Data." International Journal of Information and Communication Technology Education 8, no. 1 (January 2012): 53–62. http://dx.doi.org/10.4018/jicte.2012010106.

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Data collection using respondent surveys is a common methodology used in many research projects. Increasing popularity of e-mail and internet has resulted in most of the modern surveys being carried out using these mediums. Declining response rates call for fresh methods of data collection. As a possible alternative to already popular methods like web-based and email surveys, this paper illustrates the use of webinar sessions to collect relevant data from the participants. The popularity of webinars in recent times throws up a tremendous potential in utilizing it as a data collection tool. The paper illustrates how the polling tool available within the web-conferencing systems can be used in a webinar session to survey respondents’ behavioral patterns. Using a behavioral finance problem, the paper examines an alternative to traditional methods of collecting online survey data. Although the paper uses a behavioral finance context, the findings should equally apply to any other research topic.

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Gottliebson, Daniel, Natasha Layton, and Erin Wilson. "Comparative effectiveness report: online survey tools." Disability and Rehabilitation: Assistive Technology 5, no. 6 (May 4, 2010): 401–10. http://dx.doi.org/10.3109/17483101003793404.

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Schredl, Michael, Christian Bailer, Muriel Sophie Weigel, and Melina Sandra Welt. "Dreaming about Dogs: An Online Survey." Animals 10, no. 10 (October 19, 2020): 1915. http://dx.doi.org/10.3390/ani10101915.

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Dogs have been close human companions for millennia and one would expect—according to the continuity hypothesis of dreaming—that dogs are also quite common in dreams. Previous studies showed that the percentages of dreams that include dogs range from about 1.5% to 5%, but studies relating waking-life experiences with dogs with dreams about dogs have not been carried out. In total, 1695 persons (960 women, 735 men) completed an online survey that included questions about dreams and waking-life experiences that included dogs. The findings indicate that dogs show up, on average, in about 5% of remembered dreams, but this percentage is much higher in the dreams of dog owners and persons with close contacts with dogs. Moreover, the active time spent with a dog and the proximity during sleep is also related to a higher percentage of dreams that include dogs. Although dreams including dogs are on average more positively toned than dreams in general, about 11% of the dog dreams included threatening dogs. Persons who had negative experiences with dogs in their waking lives reported more threatening dog dreams. The results support the continuity hypothesis and it would be very interesting to conduct content analytic studies with dream samples obtained from dog owners to learn more about the variety of interactions between dreamers and dogs.

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Tomar, Chanchal. "Survey Paper-Online Selling of Gigs." International Journal for Research in Applied Science and Engineering Technology V, no. IV (March 25, 2017): 98–100. http://dx.doi.org/10.22214/ijraset.2017.4018.

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Jangde, Yamini. "Survey Paper on Online Election System." International Journal for Research in Applied Science and Engineering Technology V, no. IV (April 25, 2017): 159–63. http://dx.doi.org/10.22214/ijraset.2017.4033.

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Mohapatra, Nijhum, and Dr Bhuvana J. "Online Health Care System: A Survey." International Journal for Research in Applied Science and Engineering Technology 10, no. 2 (February 28, 2022): 685–89. http://dx.doi.org/10.22214/ijraset.2022.40349.

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Abstract: Today`s technology offers many online services in almost every field. From those fields Healthcare is one of them. However, in this pandemic it is very difficult to obtain the consultation with the doctor for every health problem so to overcome this problem Online Healthcare System can be implemented. This Web application contains features like manage patient details, doctor`s detail, schedule appointments, view reports, online payment and some additional features like videos for “yoga and exercise” and a “Chatbot”, Which is a type of software that used to redirect the conversation between human beings and users which will help people to provide details according to their quires in an productive way

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Schredl, Michael, Lilian Marie Anderson, Lea Katharina Kahlert, and Celine Sophie Kumpf. "Work-Related Dreams: An Online Survey." Clocks & Sleep 2, no. 3 (July 17, 2020): 273–81. http://dx.doi.org/10.3390/clockssleep2030021.

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Professional work is an integral part of modern life. According to the continuity hypothesis of dreaming, which states that dreams reflect waking life, work-related dreams should be quite common. As most dream content analytic studies are carried out in student samples, the topic of work in dreams is understudied. A few small studies indicate that the stress levels associated with the job are especially reflected in work-related dreams. Here, a total of 1695 people (960 women, 735 men) completed an online survey that included questions about the estimated percentage of work-related dreams, the overall emotional tone of work-related dreams, and waking-life experiences related to their current job situation (working or not working). The findings indicate that every fifth dream is related to current or previous work. Individuals who are working dreamed more often about work, with jobs that are experienced as being more stressful being more likely to affect dream content. The emotional tone of work-related dreams was related to stress and the emotions related to work in waking life. Overall, the findings demonstrate that professional life has a profound effect on dreaming in many individuals—even after years. The next steps would be to study the dream content of work-related dreams and relate these contents to specific characteristics about the jobs, e.g., professional field, hierarchical position and autonomy, etc.

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Boyar, Joan, Lene M. Favrholdt, Christian Kudahl, Kim S. Larsen, and Jesper W. Mikkelsen. "Online Algorithms with Advice: A Survey." ACM SIGACT News 47, no. 3 (August 31, 2016): 93–129. http://dx.doi.org/10.1145/2993749.2993766.

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Biggs, M. J. P., L. J. R. Brown, and P. N. Furness. "Online survey of current autopsy practice." Journal of Clinical Pathology 62, no. 6 (January 21, 2009): 525–29. http://dx.doi.org/10.1136/jcp.2008.062117.

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Shaeer, Osama, and Kamal Z. Shaeer. "The Global Online Sexuality Survey (GOSS)." Human Andrology 3, no. 2 (June 2013): 46–53. http://dx.doi.org/10.1097/01.xha.0000428124.12510.a8.

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Armstrong, C. J. "The European Online Information Survey 1988." Online Review 12, no. 5 (May 1988): 277–81. http://dx.doi.org/10.1108/eb024284.

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Elsayed, Amany M. "Arab online book clubs: A survey." IFLA Journal 36, no. 3 (October 2010): 235–50. http://dx.doi.org/10.1177/0340035210378864.

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Tagougui, Najiba, Monji Kherallah, and Adel M. Alimi. "Online Arabic handwriting recognition: a survey." International Journal on Document Analysis and Recognition (IJDAR) 16, no. 3 (May 25, 2012): 209–26. http://dx.doi.org/10.1007/s10032-012-0186-8.

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Khairnar, Smita, and Reena Kharat. "Survey on Secure Online Voting System." International Journal of Computer Applications 134, no. 13 (January 15, 2016): 19–21. http://dx.doi.org/10.5120/ijca2016908144.

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Mindel, A., E. Christie, C. Chung, T. Berger, and the Australian Herpes Management Forum (AHMF). "14. GENITAL HERPES ONLINE RISK SURVEY." Sexual Health 4, no. 4 (2007): 289. http://dx.doi.org/10.1071/shv4n4ab14.

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Background: Genital herpes is one of the most common sexually transmitted infections (STIs) worldwide. In Australia, a population-based survey revealed that 16% of women and 8% of men over 25 had antibodies to HSV-2. The majority of people infected with HSV-2 are asymptomatic. With increasing availability of web-based technology for use as an information and education tool, we established a web-based survey to determine risk for genital herpes and encourage people who maybe at risk to attend a health care professional for HSV testing. Methods: A web-based genital herpes risk assessment quiz was established on the AHMF web page. The quiz was based on epidemiological data derived from a national population-based survey and other epidemiological studies and consisted of 16 questions, each with a numerical weighting. Factors were weighted according to age, country of origin, gender, sexual history, condom use, symptoms suggestive of herpes and whether the individual was of Aboriginal or Torres Strait Islander (ATSI) origin. Scores were added up and individuals allocated a risk score of low, medium or high. Results: By the 24th May 2007, 2639 questionnaires had been completed, 52% were male and 48% female and 87% from Australia. 18% were classified as low risk for genital herpes, 46% as medium risk and 36% as high risk. Women had a higher mean risk score than men (p�<�0.001) and were less likely to report condom use than men (p�<�0.001), however, men were more likely than women to have had sex with someone they knew had herpes (p�=�0.018). ATSI participants had a higher mean risk score than non-ATSI participants. Detailed analyses of risk scores and comparisons between groups will be presented. Conclusions: On-line risk surveys are a useful way for individuals to determine their risk of genital herpes. Similar tools should be developed for other STIs.

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Farmer, Rob, Phil Oakman, and Paul Rice. "A review of free online survey tools for undergraduate students." MSOR Connections 15, no. 1 (September 5, 2016): 71. http://dx.doi.org/10.21100/msor.v15i1.311.

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Undergraduate students are often required to collect survey data as part of their studies, but they rarely receive any detailed guidance on choosing an appropriate free online survey tool. In addition, many universities do not provide undergraduate students with an institutionally supported and managed online survey tool. Because there are so many online survey services available, the lack of an institutionally managed survey tool coupled with a lack of proper guidance on their selection and use can cause a great deal of stress and possible expense to students. In order to alleviate this problem, ten prominent free online survey services were reviewed in order to give students, particularly undergraduate students in higher education, some guidance in this matter. Three essential criteria were borne in mind when evaluating the tools: ease of use; ability to export data, and; UK Data Protection Act compliance. Although this paper is predominantly focused on UK students undertaking surveys which collect data that could personally identify a respondent, conclusions are generalised to include recommendations for surveys collecting non-personally identifiable data, and for students studying outside of the UK. Based on the findings of the review, students needing to use a free online survey tool are recommended to use eSurv for all surveys, unless they are given alternative directions by academic staff or others at their institution. In addition, we further recommend that both eSurv and Quick Surveys are appropriate for surveys collecting non-personally identifiable data.

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Brazhkin, Vitaly. "“I have just returned from the moon:” online survey fraud." Supply Chain Management: An International Journal 25, no. 4 (March 27, 2020): 489–503. http://dx.doi.org/10.1108/scm-12-2019-0466.

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Purpose The purpose of this paper is to provide a comprehensive review of the respondents’ fraud phenomenon in online panel surveys, delineate data quality issues from surveys of broad and narrow populations, alert fellow researchers about higher incidence of respondents’ fraud in online panel surveys of narrow populations, such as logistics professionals and recommend ways to protect the quality of data received from such surveys. Design/methodology/approach This general review paper has two parts, namely, descriptive and instructional. The current state of online survey and panel data use in supply chain research is examined first through a survey method literature review. Then, a more focused understanding of the phenomenon of fraud in surveys is provided through an analysis of online panel industry literature and psychological academic literature. Common survey design and data cleaning recommendations are critically assessed for their applicability to narrow populations. A survey of warehouse professionals is used to illustrate fraud detection techniques and glean additional, supply chain specific data protection recommendations. Findings Surveys of narrow populations, such as those typically targeted by supply chain researchers, are much more prone to respondents’ fraud. To protect and clean survey data, supply chain researchers need to use many measures that are different from those commonly recommended in methodological survey literature. Research limitations/implications For the first time, the need to distinguish between narrow and broad population surveys has been stated when it comes to data quality issues. The confusion and previously reported “mixed results” from literature reviews on the subject have been explained and a clear direction for future research is suggested: the two categories should be considered separately. Practical implications Specific fraud protection advice is provided to supply chain researchers on the strategic choices and specific aspects for all phases of surveying narrow populations, namely, survey preparation, administration and data cleaning. Originality/value This paper can greatly benefit researchers in several ways. It provides a comprehensive review and analysis of respondents’ fraud in online surveys, an issue poorly understood and rarely addressed in academic research. Drawing from literature from several fields, this paper, for the first time in literature, offers a systematic set of recommendations for narrow population surveys by clearly contrasting them with general population surveys.

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Theuri, Peter M., and Leslie D. Turner. "Conducting Survey Research Through an Enhanced Online Web Survey Procedure." Journal of Internet Commerce 1, no. 4 (September 2002): 37–53. http://dx.doi.org/10.1300/j179v01n04_03.

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