A Research Experience Collecting Data Online: Advantages and Barriers

2017 ◽  
Vol 23 (4) ◽  
pp. 266-270 ◽  
Author(s):  
Malena Jones
Keyword(s):  
Data Collection ◽  
Online Survey ◽  
Research Experience ◽  
Nurse Faculty ◽  
Online Data ◽  
Survey Tool ◽  
Survey Response Rate ◽  
Data Collection Process ◽  
Online Data Collection ◽  
Survey Responses

This article details the use of an online survey tool to obtain information from nurse faculty, including the data collection process, the survey responses by nurse faculty, and the advantages and barriers of online data collection. The survey response rate indicates that online data collection is a valuable tool for nurse researchers.

scholarly journals Business Ethics of Pakistanis in Islamabad and Lahore: Do Age, Gender and Data Collection Processes Make a Difference?

2012 ◽  
Vol 2 (3) ◽  
pp. 325 ◽  
Author(s):  
Bahaudin G. Mujtaba ◽  
Arif Sikander ◽  
Naveed Akhtar ◽  
Talat Afza
Keyword(s):  
Data Collection ◽  
Business Ethics ◽  
Moral Development ◽  
Development Theory ◽  
Online Data ◽  
Face To Face ◽  
Data Collection Process ◽  
Human Resources Managers ◽  
Online Data Collection ◽  
And Gender

Pakistan is an emerging economy and a modernizing workplace. This research surveyed 318 citizens, managers, and employees in Lahore and Islamabad to measure their Personal Business Ethics Scores (PBES) based on age and gender, as well as to see if face-to-face and online data collection processes make a difference in their level of ethical maturity. Furthermore, this study contributes to the theory of moral development. The results suggest that age is a significant factor in moral development as it leads to higher scores in moral maturity. Gender is not a factor in the ethical maturity scores of these respondents. Kohlberg’s moral development theory regarding ethical maturity is supported since those who were older do have higher business ethics scores. Furthermore, significant differences were found based on the data collection process. These results can be helpful for human resources managers and expatriates who work in these cities with local professionals. Suggestions and implications are discussed.  

scholarly journals Methodological Reflections on Online Data Collection during the Covid-19 Pandemic

Populasi ◽  
2021 ◽  
Vol 29 (2) ◽  
pp. 65
Author(s):  
Sumedi P. Nugraha ◽  
Dewi H. Susilastuti
Keyword(s):  
Data Collection ◽  
Literature Review ◽  
Research Experience ◽  
Online Data ◽  
Face To Face ◽  
Data Collection Methods ◽  
Data Completion ◽  
Online Data Collection ◽  
Collection Methods

The pandemic closed the door for the use of conventional, face-to-face data collection methods. At the same time, it built a momentum for the exploration and utilization of online data collection methods. However, the belief about superiority of the offline data collection persists. The literature review and the authors’ research experience reveal that offline and online data collection methods yield similar result in terms of data completion and quality. All data collection methods contain weaknesses and strengths. Nonetheless, the online data collection methods are very versatile. They allow the researchers to choose the tools that best align with their research objectives.

User categories of mobile travel services

2014 ◽  
Vol 5 (1) ◽  
pp. 17-30 ◽  
Author(s):  
Niklas Eriksson
Keyword(s):  
Online Survey ◽  
Service Providers ◽  
Mobile Services ◽  
Individual Characteristics ◽  
Online Data ◽  
Content Type ◽  
Travel Services ◽  
Online Data Collection ◽  
Barriers To Use ◽  
Practical Implications

Purpose – This study aims to identify user categories of mobile travel services and analyze the differences between the categories based on individual characteristics, the individuals' perceived barriers to use internet-/mobile services during a trip and the individuals' preferred channel strategies. Design/methodology/approach – An extensive online survey in Finland was conducted to collect the data and a cluster analysis is used to identify the user categories. Findings – The study indicates that there are four user categories of mobile travel services: “info-seekers”, “checkers”, “bookers” and “all-rounders” and one group of “non-users”. Research limitations/implications – Due to the online data collection method and the self-selective process, the sample may be biased towards respondents finding electronic travel services important. It would be of value to conduct similar studies on a representative sample of the total population of different countries. Practical implications – The identified categories can be seen as consumer segments for which travel service providers can target mobile services. Originality/value – This study contributes with a categorization of mobile travelers and provides insights on the diffusion of mobile travel services.

National Health Interview Survey, COVID-19, and Online Data Collection Platforms: Adaptations, Tradeoffs, and New Directions

2021 ◽  
Vol 111 (12) ◽  
pp. 2167-2175
Author(s):  
Stephen J. Blumberg ◽  
Jennifer D. Parker ◽  
Brian C. Moyer
Keyword(s):  
Data Collection ◽  
National Health ◽  
National Health Interview Survey ◽  
Quality Data ◽  
Online Data ◽  
Health Interview Survey ◽  
Related Data ◽  
Health Interview ◽  
Interview Survey ◽  
Online Data Collection

High-quality data are accurate, relevant, and timely. Large national health surveys have always balanced the implementation of these quality dimensions to meet the needs of diverse users. The COVID-19 pandemic shifted these balances, with both disrupted survey operations and a critical need for relevant and timely health data for decision-making. The National Health Interview Survey (NHIS) responded to these challenges with several operational changes to continue production in 2020. However, data files from the 2020 NHIS were not expected to be publicly available until fall 2021. To fill the gap, the National Center for Health Statistics (NCHS) turned to 2 online data collection platforms—the Census Bureau’s Household Pulse Survey (HPS) and the NCHS Research and Development Survey (RANDS)—to collect COVID-19‒related data more quickly. This article describes the adaptations of NHIS and the use of HPS and RANDS during the pandemic in the context of the recently released Framework for Data Quality from the Federal Committee on Statistical Methodology. (Am J Public Health. 2021;111(12):2167–2175. https://doi.org/10.2105/AJPH.2021.306516 )

Using Online Survey Software to Enhance Rigor and Efficiency of Knowledge Synthesis Reviews

2020 ◽  
Vol 42 (10) ◽  
pp. 838-845
Author(s):  
Karen Dunn Lopez ◽  
Sheila M. Gephart ◽  
Patricia E. Hershberger
Keyword(s):  
Information Technologies ◽  
Online Survey ◽  
Data Extraction ◽  
Knowledge Synthesis ◽  
Health Science ◽  
Primary Sources ◽  
Online Data ◽  
Literature Reviews ◽  
Efficient Extraction ◽  
Survey Responses

With the explosion of scientific literature, information technologies, and the rise of evidence-based health care, methodologies for literature reviews continue to advance. Yet there remains a lack of clarity about techniques to rigorously and efficiently extract and synthesize data from primary sources. We developed a new method for data extraction and synthesis for completing rigorous, knowledge synthesis using freely available online survey software that results in a review-specific, online data extraction, and synthesis tool. The purpose of this paper is to delineate this method using our published integrative review as an exemplar. Although the purpose of online survey software is to obtain and analyze survey responses, these software programs allows for the efficient extraction and synthesize of disparate study features from primary sources. Importantly, use of the method has the potential to increase the rigor and efficiency of published reviews bringing the promise of advancing multiple areas of health science.

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