Use of Internet-Based Household Travel Diary Survey Instrument

2002 ◽  
Vol 1804 (1) ◽  
pp. 134-143 ◽  
Author(s):  
Thomas Adler ◽  
Leslie Rimmer ◽  
David Carpenter
Keyword(s):  
Survey Methods ◽  
Field Application ◽  
Internet Survey ◽  
The Internet ◽  
Computer Assisted ◽  
Item Nonresponse ◽  
Full Field ◽  
Travel Diary ◽  
Split Sample ◽  
Household Travel

The results of an application of Internet survey methods to a household travel diary project are described. The project included a full field application of an Internet-based household travel diary instrument in a split sample design with conventional telephone or mail administration. The effects of this type of administration on survey response and on survey data are described. The work described demonstrates how Internet-based travel diary instruments can be used to complement other, more traditional survey approaches. The Internet household travel diary instrument used included several features that take advantage of the computational power provided by modern servers and the graphical user interface provided by web browsers. Among these, the most important are detailed internal consistency checks that test the continuity and completeness of the activity and trip logs and interactive geocoding of trip ends. The response rates in the split sample conducted for the Las Cruces application indicate that providing an Internet option had a small positive effect. However, there are more pronounced effects on reported trip making—more trips reported in the Internet instrument—and on item nonresponse—lower rates with the Internet instrument. Overall, respondents who used the Internet instrument found it easy to use and appreciated having the option to complete the questionnaire at their convenience. There are clear areas for further research, but it is equally clear that Internet-based household diary surveys can provide an important, cost-effective complement to computer-assisted telephone interview and mail methods.

Collection of Ego-Centered Network Data with Computer-Assisted Interviews

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 7-15 ◽  
Author(s):  
Joachim Gerich ◽  
Roland Lehner
Keyword(s):  
Survey Methods ◽  
A Priori ◽  
Dynamic Structure ◽  
Computer Assisted ◽  
Network Data ◽  
Great Effort ◽  
Self Administration ◽  
Face To Face ◽  
Full Network

Although ego-centered network data provide information that is limited in various ways as compared with full network data, an ego-centered design can be used without the need for a priori and researcher-defined network borders. Moreover, ego-centered network data can be obtained with traditional survey methods. However, due to the dynamic structure of the questionnaires involved, a great effort is required on the part of either respondents (with self-administration) or interviewers (with face-to-face interviews). As an alternative, we will show the advantages of using CASI (computer-assisted self-administered interview) methods for the collection of ego-centered network data as applied in a study on the role of social networks in substance use among college students.

Influences of eHealth literacy on obtaining knowledge about colorectal cancer among Internet users accessing a reputable cancer website (Preprint)

2019 ◽  
Author(s):  
Seigo Mitsutake ◽  
Ai Shibata ◽  
Kaori Ishii ◽  
Rina Miyawaki ◽  
Koichiro Oka
Keyword(s):  
Colorectal Cancer ◽  
Risk Factor ◽  
Health Knowledge ◽  
Information Service ◽  
Internet Survey ◽  
Cancer Center ◽  
Cancer Information ◽  
The Internet ◽  
Ehealth Literacy ◽  
Internet Users

BACKGROUND To develop websites that enhance Internet users’ health knowledge, it is important to identify relevant factors associated with obtaining health knowledge via the Internet. Although an association between eHealth literacy (eHL) and knowledge of colorectal cancer (CRC) has been reported, little is known whether eHL is associated with obtaining knowledge of CRC via the Internet. OBJECTIVE This study aimed to compare the results obtained from Internet users with high or low eHL in searching and using a reputable cancer website to gain CRC knowledge. METHODS This study used respondents to Internet based pre-and post-surveys conducted in 2012. Potential respondents (n = 3,307) were identified from registered individuals aged 40–59 years (n = 461,160) in a Japanese Internet survey company. A total of 1,069 participants responded (response rate: 32.3%), and these pre-survey responders were then divided into high or low eHL groups using the Japanese eHealth Literacy Scale median score (23.5 points). From each group, 130 randomly selected individuals were invited to review the contents of a reputable CRC website, the Cancer Information Service managed by the National Cancer Center, and to respond to a post-survey via e-mail; responses were obtained from 107 individuals from each group. Twenty responses to knowledge statements regarding the definition, risk factors, screening prevention and symptoms of CRC were obtained at pre- and post-surveys, and differences in the correct responses between high and low eHL groups compared using the McNemar test. RESULTS The mean age of the participants was 49.1 (5.5) years. Four statements showed a significant increase in correct responses in both eHL groups pre- and post-survey: “S4. The risk of CRC is greater as a person gets older” (high eHL: P = 0.039, low eHL: P = 0.012), “S8. Cigarette smoking is a risk factor for CRC” (high eHL: P < 0.001, low eHL: P = 0.020), “S11. Obesity is a risk factor for CRC” (high eHL: P = 0.030, low eHL: P = 0.047), and “S12. Excess alcohol consumption is a risk factor for CRC” (high eHL: P = 0.002, low eHL: P = 0.003). Three statements showed a statistically significant increase in correct responses in the high eHL group only: “S1. CRC is cancer of the colon or rectum” (P = 0.003), “S5. The risk of CRC is the same between men and women” (P = 0.041), and “S9. Red meat intake is a risk factor for CRC” (P = 0.002), whereas only one response did in the low eHL group: “S17. Bloody stools are a symptom of CRC” (P = 0.004). CONCLUSIONS Low eHL Internet users appeared less capable of obtaining knowledge of CRC through searching and understanding information from a reputable cancer website than high eHL Internet users.

Digital Diffusion in Newsrooms: The Uneven Advance of Computer-Assisted Reporting

2000 ◽  
Vol 21 (2) ◽  
pp. 95-110 ◽  
Author(s):  
Scott R. Maier
Keyword(s):  
Data Analysis ◽  
The Internet ◽  
Computer Assisted ◽  
Digital Diffusion

A survey of CAR trainers found that half of reporters at respondent newspapers do not routinely use the Internet for research. Trainers estimate that 10 percent of reporters used computers for data analysis.

scholarly journals The Effect Of Internet Use Habit Toward English Achievement: Survey Study In Smp Al Azhar 8 Bekasi

2020 ◽  
Vol 5 (7) ◽  
pp. 431
Author(s):  
Okfida Yani Syaf
Keyword(s):  
Internet Use ◽  
Survey Methods ◽  
Sampling Technique ◽  
Survey Study ◽  
The Internet ◽  
Online Media ◽  
International Language ◽  
Internet Users ◽  
Class Viii ◽  
English Achievement

Students nowadays interact more frequently through the internet using English. As an international language, English is used by most internet users, both by application companies and social networks, as well as by users. Internet usage can be more easily obtained, especially in big cities. This affects the students’ way of thinking, learning and behaving because they can learn everything easily and quickly through online media available at the internet. The aim of this research is to show the effect of internet use habit on English achievement for class VIII students at SMPI Al Azhar 8 in Bekasi. This research based on survey methods using technical correlational analysis. While the data and information were obtained by a questionnaire. The sample is taken with purposive sampling technique that is 44 students. Based on the results of the study, it can be concluded that: There is a significant effect of the habit of interacting through the internet on the English achievement. This is evidenced by the acquisition of the results of the Sig. 0,000 <0,05dan t value = 4,365 which means there is a significant effect.

scholarly journals Implementation of Smart Mirror using Raspberry PI

2021 ◽  
pp. 234-238
Author(s):  
Aditya Tepalwar ◽  
Asha Sherikar ◽  
Prajyot Mane ◽  
Vishal Fulpagare
Keyword(s):  
Web Services ◽  
Information Services ◽  
Mirror System ◽  
Weather Data ◽  
Raspberry Pi ◽  
The Internet ◽  
Computer Assisted ◽  
User Data ◽  
Information And Communication ◽  
Smart Appliance

Smart appliance design that includes multimedia intelligence to deliver comfortable, convenient, and secure personal services in the home is becoming increasingly crucial in the age of information and communication technology. This research looks at the design and execution of a novel interactive multimedia mirror system called as "smart mirror." The glass that will be used is the foundation of the design of a smart mirror. Two-way glass is suggested because it allows the visuals on the display to be seen more clearly. Our way of life has evolved to the point where making the best use of one's time is critical. Based on user surveys and prototype implementation, we propose the development of an innovative appliance that incorporates interactive information services delivered via a user interface on the surface of a mirror. Our work is based on the assumption that we all check ourselves in the mirror before leaving the house, so why shouldn't the mirror be intelligent? Smart Mirrors will eventually replace regular mirrors, providing users with both mirror and computer-assisted information services as technology improves. Because of the Raspberry Pi microcontroller cards aboard, the devices can connect to the internet, download data from the internet, and show that data on the mirror. Weather data, time and location data, current event data, and user data gathered from web services using a Raspberry Pi 3 microcontroller card are all included in the designed intelligent mirror system. The mirror will light up when the user steps in front of it. When thinking about this project, phrases like Smart Mirror, Interactive services, Raspberry Pi , and Web services come to mind.

Information Technology in Survey Research

2011 ◽  
pp. 2024-2029
Author(s):  
Jernej Berzelak ◽  
Vasja Vehovar
Keyword(s):  
Data Collection ◽  
Survey Research ◽  
18Th Century ◽  
Primary Data ◽  
The Internet ◽  
Computer Assisted ◽  
Social Phenomena ◽  
Research Areas ◽  
Technological Advances ◽  
The Usa

Data collection based on standardized questionnaires represents one of the central tools in many research areas. Early surveys date back to the 18th century (de Leeuw, 2005), while a major breakthrough came in the 1930s with the application of probability samples. By using surveys, today governments monitor conditions in the country, social scientists obtain data on social phenomena and managers direct their business by studying the characteristics of their target customers. The importance of survey research stimulates ongoing efforts to achieve higher data quality and optimized costs. Early on researchers recognized the potential of technological advances for the achievement of these goals. In the early 1970s telephone surveys started replacing expensive face-to-face interviews. Computer technology developments soon enabled computer-assisted telephone interviewing (“CATI”). The 1980s brought new approaches based on personal computers. Interviewers started to use laptops and respondents sometimes completed questionnaires on their own computers. Another revolution occurred with the Internet in the subsequent decade. The pervasive availability of Internet access, and the growing number of Internetsupported devices, coupled with the advance of interactive Web technologies (like Ajax) are facilitating developments in contemporary survey research. Internet surveys show the potential to become the leading survey approach in the future. According to the Council of American Survey Research Organizations (“CASRO”), the Internet already represents the primary data collection mode for 39% of research companies in the USA (DeAngelis, 2006). The rate of adoption is slower in academic and official research but it is far from negligible. These technological innovations have, however, created several new methodological challenges.

scholarly journals Modernising Anatomy Teaching: Which Resources Do Students Rely On?

2020 ◽  
Vol 7 ◽  
pp. 238212052095515
Author(s):  
Billy C Leung ◽  
Matthew Williams ◽  
Christopher Horton ◽  
Thomas DA Cosker
Keyword(s):  
3D Models ◽  
The Internet ◽  
Computer Assisted ◽  
First Year ◽  
Learning Resources ◽  
Undergraduate Medical Students ◽  
Computer Assisted Learning ◽  
Post Intervention ◽  
Digital Platforms ◽  
The University

The way in which we learn anatomy has changed exponentially over the decades and students now have access to lecture notes, textbooks, computer-assisted programmes, and a wide variety of internet based information. This study explored which resources were the most (and least) useful for a group of first year, undergraduate, medical students, with minimal prior content exposure (aged 18 and 19 years old, n = 76), over an 18 month period. Anatomy websites were found to be the most useful (30%), followed by tutorials (20%) and lectures (19%). A total of 13% found the university computer-assisted learning (CAL) platform least useful. We subsequently enhanced our ‘urogenital’ CAL anatomy module, with inclusion of new and updated images, videos and tutorials, as well as, digital and printed 3D-models. A post-intervention survey (n = 81) showed an increase from 12% to 27% for CAL as being most useful, and a decrease from 13% to 3% as being least useful. Our results provided a snapshot of students’ preferences in studying anatomy, and highlighted the importance of digital platforms and the need for evaluating our own learning resources. We must be mindful that there is an increasing tendency for students to rely on the Internet for information, which may expose them to unfiltered and unreliable content. We conclude that educators must be aware of the spectrum of learning resources used by students, to ensure that our own Institutional eLearning platforms are optimised to meet the diverse needs of learners.

E-Learning Environment

2005 ◽  
pp. 1001-1005
Author(s):  
Mizue Kayama ◽  
Toshio Okamoto
Keyword(s):  
Learning Community ◽  
The Internet ◽  
Computer Assisted ◽  
Concept System ◽  
New Learning ◽  
E Learning ◽  
The Many ◽  
Assisted Instruction ◽  
Learning Ecology ◽  
Learning Issues

Nowadays, the concept/system of e-learning (or eLearning) is widespread with the advent and prevalence of the Internet. Via the Internet, people can communicate with each other at anytime and from anywhere. People can also share, rebuild, stock, and reuse various kinds of information. Here, it is clear that e-learning gets citizenship in the educational society instead of CAI (computer-assisted instruction) and CMI (computer-managed instruction). As a response to society’s advance, it is necessary to construct a new learning ecology, such as a learning organization or a learning community. To date, the need for an understanding of e-learning issues has not been met by a coherent set of principles for examining past work and plotting fruitful directions. Obviously, it would be difficult to document the many seeds sown now.

Computers and Social Survey Research for Public Administration

2011 ◽  
pp. 265-292
Author(s):  
Michael L. Vasu ◽  
Ellen Storey Vasu ◽  
Al O. Ozturk
Keyword(s):  
Social Science ◽  
Public Administration ◽  
Survey Research ◽  
Research Methods ◽  
Survey Methods ◽  
Computer Assisted ◽  
Social Survey ◽  
Research And Practice ◽  
Survey Error ◽  
Survey Research Methods

The integration of social survey methods into public-administration research and practice is the focus of this chapter. Coverage applies to other social science disciplines as well. This chapter reviews the use of computers in computer-assisted survey research (CASR), computer-assisted interviewing, computer-assisted telephone interviewing (CATI), computer-assisted personal interviewing (CAPI), and survey research methods. The chapter takes the perspective of total survey error.

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