What Prevents You to Plug in to Online Surveys?

2022 ◽  
pp. 131-148
Author(s):  
Burcu Karabulut Coşkun ◽  
Ezgi Mor Dirlik
Keyword(s):  
Artificial Intelligence ◽  
Online Survey ◽  
Response Rate ◽  
Data Gathering ◽  
Theoretical Framework ◽  
Research Topic ◽  
Online Surveys ◽  
Online Data ◽  
Factors Affecting ◽  
Response Behaviors

In today's world, which has been administered by computers and artificial intelligence in many areas, online data gathering has become an inevitable way of collecting data. Many researchers have preferred online surveying, considering the advantages of this method over the classical ones. Hence, the factors that may affect the response rate of online surveying have become a prominent research topic. In line with the popularity of this issue, the purpose of this chapter was to clarify the concept of online surveys; give information about their types, advantages, and usage; and investigate the factors that affect the participants' response behaviors. Besides the discussions on the theoretical framework of online surveying, an online survey aiming to determine the factors affecting the participation in online surveying was administered to a group of people to investigate the response behaviors thoroughly. The findings revealed that rs might affect ants' response behaviors to online surveys in various ways radically.

scholarly journals When is it acceptable to allow a terminal patient to die? Pharmacy students’ views from a London University

2020 ◽  
pp. 107815522092154
Author(s):  
Beth V Clayton ◽  
Shereen Nabhani-Gebara
Keyword(s):  
Online Survey ◽  
Healthcare Professionals ◽  
Response Rate ◽  
Pharmacy Students ◽  
Patient Factors ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Patient Request ◽  
Medical Organisation ◽  
Controversial Topic

Accompanied suicide is a controversial topic with varying practice across Europe; therefore, there is very little guidance on how healthcare professionals should be educated on accompanied suicide. This study implemented an anonymous, cross-sectional online survey to discover the perceptions of final-year MPharm students on accompanied suicide and the factors affecting one’s views, with the aim of investigating the knowledge, awareness and opinions of pharmacy students regarding accompanied suicide, as well as education to pharmacy students. Surveys were disseminated to final-year pharmacy students at Kingston University between January and March 2019. The survey comprised of three sections: Section A consisting of definitions – to determine knowledge of pharmacy students. Section B including case studies – to understand the opinions of pharmacy students and identify influential patient factors. Section C involving demographics – to discover the influential participant factors. An ethics application was submitted and approved prior to conducting this study. The data yielded a total of 111 responses out of a possible 139 (80% response rate); 77.5% participants were unable to correctly define each term given, with many also agreeing their lack of knowledge affected their views. Overall, most pharmacy students disagreed with accompanied suicide, regardless of the patient factors. Additionally, religious participants were more likely to disagree with the patient request ( p < 0.03). Three recommendations were concluded to improve the education of pharmacy students: (1) an approved medical organisation to specifically define terminology, (2) include accompanied suicide in the pharmacy syllabus and (3) include lesser known terminal illnesses on the pharmacy syllabus.

scholarly journals The factors affecting response rate in survey on well-being among people with foreign origin

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
E Lilja ◽  
A Seppänen ◽  
H Kuusio
Keyword(s):  
Online Survey ◽  
Response Rate ◽  
Age Groups ◽  
Response Rates ◽  
Well Being ◽  
Migrant Population ◽  
Population Surveys ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Face To Face

Abstract Background Previous population surveys among people with foreign background (PFB) in Finland have had successful response rates (62%-66%) when using mainly face-to-face interviews. A cross-sectional population survey (FinMONIK) explored more cost-efficient ways to collect the data on PFB. Methods The data collection was conducted in Finland between May 2018 and January 2019. The random sample consisted of 12 877 (after removing over-coverage) 18-64-year-olds stratified by region. First, a letter containing a link to the online survey with 18 different language options was sent to the participants. After two reminders, the questionnaire was sent twice on paper to the non-respondents. Finally, supplementary phone interviews were carried out by multi-lingual interviewers. All the participants were able to enter in a draw to win gift cards. Results The response rate (RR) for the online survey was 34%. RR was highest for those who had lived in Finland 5 years or less (43%) and lowest among the divorced (23%) and Estonians (27%). The paper questionnaire was mostly preferred by older age groups, increasing the RR of 40-64 year-olds from 31% to 48%. Telephone interviews increased the RR by five percent points, thus making the final RR for the survey 53%. Persons born in the EU and North-America responded the most frequently (58%) whereas RR was lowest amongst the Sub-Saharan African origin migrants (47%). RR was particularly low (42%) for those who had moved to Finland at ages 0-6. Conclusions In surveys conducted amongst PFB, relatively good response rates can be obtained by using alternate methods for gathering data instead of costly and time-consuming face-to-face interview. Age and marital status seemed to affect the preference of survey format. The overall RR varied by country of origin. Key messages A good response rate can be obtained without face-to-face interviews in migrant population surveys. Migrant population surveys can be conducted more efficiently by combining a variety of methods.

scholarly journals The Design of a Bayesian Network Model for Increasing the Number of Graded Tourism Establishments

2020 ◽  
pp. 793-809
Author(s):  
Tshepo Mothoagae ◽  
Nazeer Joseph
Keyword(s):  
Artificial Intelligence ◽  
Computer Literacy ◽  
Bayesian Model ◽  
Online Survey ◽  
Government Funding ◽  
Survey Questionnaire ◽  
Application Process ◽  
Bayesian Network Model ◽  
Factors Affecting ◽  
Survey Monkey

Research has been conducted on the grading of tourism establishments but little research has been conducted on the implementation of Artificial Intelligence (AI) to increase the number of graded tourism establishments. The objective of this study was to identify variables influencing tourism grading and to use them to construct a Bayesian Model for increasing the number of tourism establishments. Data was collected using an online survey questionnaire developed using the Survey Monkey tool. A total of 87 responses were received from 60 non-graded and 27 graded tourism establishments. The results indicate six factors affecting tourism grading, namely cost of grading, grading benefits, simplicity/complexity of grading application process, government funding, training of prospective grading applicants and computer literacy. The results further indicate grading cost and grading benefits as the most important factors for increasing the number of tourism establishments. The study implies that using this model will assist grading professionals to make informed decisions on initiatives aimed at increasing the number of graded tourism establishments. The study is among the first on implementation of AI to increase tourism grading establishments.

scholarly journals 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

2019 ◽  
Vol 16 (11) ◽  
pp. 1946
Author(s):  
Hironori Nakano ◽  
Kayoko Ishii ◽  
Aya Goto ◽  
Seiji Yasumura ◽  
Tetsuya Ohira ◽  
...  
Keyword(s):  
Online Survey ◽  
Response Rate ◽  
Health Management ◽  
Response Rates ◽  
Internet Survey ◽  
Online Surveys ◽  
Health Crisis ◽  
Paper Form ◽  
The Face ◽  
Pregnancy And Birth

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.

scholarly journals Implementation of the forced answering option within online surveys: Do higher item response rates come at the expense of participation and answer quality?

Psihologija ◽  
2015 ◽  
Vol 48 (4) ◽  
pp. 311-326 ◽  
Author(s):  
Jean Décieux ◽  
Alexandra Mergener ◽  
Kristina Neufang ◽  
Philipp Sischka
Keyword(s):  
Data Quality ◽  
Data Gathering ◽  
Dropout Rates ◽  
Online Surveys ◽  
Online Data ◽  
Data Set ◽  
Unit Nonresponse ◽  
Frequent Use ◽  
Answer Quality

Online surveys have become a popular method for data gathering for many reasons, including low costs and the ability to collect data rapidly. However, online data collection is often conducted without adequate attention to implementation details. One example is the frequent use of the forced answering option, which forces the respondent to answer each question in order to proceed through the questionnaire. The avoidance of missing data is often the idea behind the use of the forced answering option. However, we suggest that the costs of a reactance effect in terms of quality reduction and unit nonresponse may be high because respondents typically have plausible reasons for not answering questions. The objective of the study reported in this paper was to test the influence of forced answering on dropout rates and data quality. The results show that requiring participants answer every question increases dropout rates and decreases quality of answers. Our findings suggest that the desire for a complete data set has to be balanced against the consequences of reduced data quality.

Reliability of MTurk Data From Masters and Workers

2020 ◽  
Vol 41 (1) ◽  
pp. 30-36
Author(s):  
Steven V. Rouse
Keyword(s):  
Cognitive Abilities ◽  
Online Survey ◽  
Quality Data ◽  
Standard Samples ◽  
Online Data ◽  
Approval Ratings ◽  
Cognitive Abilities Test ◽  
Elite Status ◽  
Master Status ◽  
Amazon's Mechanical Turk

Abstract. Previous research has supported the use of Amazon’s Mechanical Turk (MTurk) for online data collection in individual differences research. Although MTurk Masters have reached an elite status because of strong approval ratings on previous tasks (and therefore gain higher payment for their work) no research has empirically examined whether researchers actually obtain higher quality data when they require that their MTurk Workers have Master status. In two different online survey studies (one using a personality test and one using a cognitive abilities test), the psychometric reliability of MTurk data was compared between a sample that required a Master qualification type and a sample that placed no status-level qualification requirement. In both studies, the Master samples failed to outperform the standard samples.

Knowledge, Perceptions and Practices on Modified Release Tablets among Prescribers: A Preliminary Study

2020 ◽  
Vol 01 (01) ◽  
pp. 05-14
Author(s):  
M.G.K.M. Fernando ◽  
K.I.J. Priyadarshi ◽  
L.G.T. Shanika ◽  
N.R. Samaranayake
Keyword(s):  
Online Survey ◽  
Product Information ◽  
Response Rate ◽  
Immediate Release ◽  
State Universities ◽  
Modified Release ◽  
Validated Questionnaire ◽  
Therapeutic Outcomes ◽  
Medical Faculties ◽  
Enteric Coated

Introduction: Modified release tablets (MRTs) are developed to achieve different therapeutic outcomes and are frequently prescribed. This study aims to evaluate the knowledge, perceptions and practices on using MRTs among a selected cohort of prescribers. Methods: A self administered online survey was conducted using a pre-validated questionnaire, prepared in-house to assess knowledge, perceptions and practices on using MRTs, among academics with an MBBS degree in medical faculties of State universities in Sri Lanka. Results: The response rate was 15.5% among 375 prescribers. Most were females (53.4%) and were 46-55 years (29.3%). Over 50% correctly expanded abbreviations related to MRTs. Most defined enteric coated (87.9%) and targeted release (77.6%) forms accurately. However, 87.0% mixed-up definitions of sustained release with controlled release. Most believed that inability to split tablets (70.7%) and high cost (70.7%), as disadvantages of MRTs. Nearly half did not identify the risk of dose dumping (53.5%) and inflexible dosing schedule (44.8%) as disadvantages. For frequency of administering MRTs, 86.2% referred the product information leaflet (PIL) while 29.0% depended on the frequency of the corresponding immediate release tablet. Most (79.3%) prescribed MRTs to increase patient compliance while 12.1% prescribed them to reduce cost. When problems regarding MRTs were encountered, most referred PILs (81.0%) and clarified with experts (75.9%). Conclusions: Although the response rate was low, a clear gap in knowledge, perceptions and practices on using MRTs were identified among prescribers who responded. Interventions are needed to improve the knowledge, perceptions, and practices on using MRTs among prescribers.

Attitudes of Medical Workers Toward Artificial Intelligence in Ophthalmology: A Comparative Survey (Preprint)

2020 ◽  
Author(s):  
Weihua Yang ◽  
Bo Zheng ◽  
Maonian Wu ◽  
Shaojun Zhu ◽  
Hongxia Zhou ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Ethics ◽  
Online Survey ◽  
Medical Professionals ◽  
Medical Field ◽  
Acceptance Level ◽  
Professional Workers ◽  
Basic Understanding ◽  
Comparative Survey ◽  
Definition Of

BACKGROUND Artificial intelligence (AI) is widely applied in the medical field, especially in ophthalmology. In the development of ophthalmic artificial intelligence, some problems worthy of attention have gradually emerged, among which the ophthalmic AI-related recognition issues are particularly prominent. That is to say, currently, there is a lack of research into people's familiarity with and their attitudes toward ophthalmic AI. OBJECTIVE This survey aims to assess medical workers’ and other professional technicians’ familiarity with AI, as well as their attitudes toward and concerns of ophthalmic AI. METHODS An electronic questionnaire was designed through the Questionnaire Star APP, an online survey software and questionnaire tool, and was sent to relevant professional workers through Wechat, China’s version of Facebook or WhatsApp. The participation was based on a voluntary and anonymous principle. The questionnaire mainly consisted of four parts, namely the participant’s background, the participant's basic understanding of AI, the participant's attitude toward AI, and the participant's concerns about AI. A total of 562 participants were counted, with 562 valid questionnaires returned. The results of the questionnaires are displayed in an Excel 2003 form. RESULTS A total of 562 professional workers completed the questionnaire, of whom 291 were medical workers and 271 were other professional technicians. About 37.9% of the participants understood AI, and 31.67% understood ophthalmic AI. The percentages of people who understood ophthalmic AI among medical workers and other professional technicians were about 42.61% and 15.6%, respectively. About 66.01% of the participants thought that ophthalmic AI would partly replace doctors, with about 59.07% still having a relatively high acceptance level of ophthalmic AI. Meanwhile, among those with ophthalmic AI application experiences (30.6%), respectively about 84.25% of medical professionals and 73.33% of other professional technicians held a full acceptance attitude toward ophthalmic AI. The participants expressed concerns that ophthalmic AI might bring about issues such as the unclear definition of medical responsibilities, the difficulty of ensuring service quality, and the medical ethics risks. And among the medical workers and other professional technicians who understood ophthalmic AI, 98.39%, and 95.24%, respectively, said that there was a need to increase the study of medical ethics issues in the ophthalmic AI field. CONCLUSIONS Analysis of the questionnaire results shows that the medical workers have a higher understanding level of ophthalmic AI than other professional technicians, making it necessary to popularize ophthalmic AI education among other professional technicians. Most of the participants did not have any experience in ophthalmic AI, but generally had a relatively high acceptance level of ophthalmic AI, believing that doctors would partly be replaced by it and that there was a need to strengthen research into medical ethics issues of the field.

scholarly journals S&T-59 FACTORS AFFECTING THE RESPONSE RATE OF FREQUENCY VOLUME CHART

2016 ◽  
Vol 195 (4S) ◽  
Author(s):  
Seong Cheol Kim ◽  
Jae-Seung Chung ◽  
Sang Hyun Park ◽  
Seok San Park ◽  
Cheol Kyu Oh
Keyword(s):  
Response Rate ◽  
Factors Affecting
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