Feasibility and Quality of a National RDD Smartphone Web Survey: Comparison With a Cell Phone CATI Survey

2020 ◽  
pp. 089443932096413
Author(s):  
Sunwoong Kim ◽  
Mick P. Couper
Keyword(s):  
Data Collection ◽  
Cell Phone ◽  
Text Messages ◽  
High Rate ◽  
Computer Assisted ◽  
Web Survey ◽  
Sampling Frame ◽  
Self Administration ◽  
A Cell ◽  
Cati Survey

Internet-enabled smartphones and wireless communication technologies are opening new ways to conduct web-based self-administered data collection for academic or nonacademic research. Considering the relative advantages of self-administration such as the low cost, overall convenience, and collection of better data about sensitive topics, survey researchers are eager to explore conducting national web surveys of the general population via smartphones, especially if they can use probability-based random-digit-dialing (RDD) sampling methods. But questions about the feasibility of such surveys remain. We conducted an experiment using national samples drawn from an RDD wireless sampling frame to compare two administration methods: a smartphone web survey using SMS (text messages) invitations and a cell phone (smartphone or feature phone) survey through computer-assisted telephone interviewing (CATI). This study was conducted using the National Survey of Smoking and Health in South Korea, a country with a very high rate of smartphone ownership. The geographic and demographic representativeness of respondents in the smartphone web mode (self-administered mode) was similar to that of the cell phone CATI survey (interviewer-administered mode), although the completion rate in the former was nearly half that of the latter. A majority of demographic variables and measures of experiences, attitudes, and perceptions of cigarettes or smoking showed significant mode differences for both unweighted and weighted estimates. The total cost of the web survey was about one fifth that of the telephone survey. The results demonstrate the potential of a smartphone web survey as a stand-alone or primary mode of data collection, if carefully designed and implemented.

scholarly journals Cellular Telephone Use: A Survey Of College Business Students

2008 ◽  
Vol 5 (4) ◽  
Author(s):  
Kay H. Braguglia
Keyword(s):  
Cell Phone ◽  
Cell Phones ◽  
Business Students ◽  
Study Time ◽  
Text Messages ◽  
Classroom Learning ◽  
Cell Phone Use ◽  
Cellular Telephones ◽  
Class Time ◽  
A Cell

Whether it is hand held, in a pocket, on a backpack, clipped to a belt, or hidden in a brief case or purse, college students and cellular telephones go together.  Communication with fellow students, professors, parents, and everyone else is just a click away. While walking across campus and down the halls of academic buildings, cellular telephones are being used.  This research questions in what ways do students use cellular telephones and does this use interfere with or assist in learning and college life?  This paper reports the results of a survey of undergraduate business students addressing this question.  The objectives were to determine: (1) how much time is spent using a cell phone and which phone features are used most frequently, (2) what students believe concerning the impact of cell phones on learning in the classroom and during study, (3) how often students are in contact with parents on a cell phone, and (4) how much do students pay for cell phone services.  The results indicate that 100% of the students own a cell phone.  Sixty-six percent of the students use voice calls most frequently and 30% use text messages most often.  A total of 55.8% of students report that they spend 3 hours or less on their cell phone daily and 44.8% spend four or more hours daily on their cell phones.  Over half of the students report that they have some interaction with their cell phones during class time for every class.  Seventy-seven percent state that this cell phone use seldom or never interferes with classroom learning. All of the students (100%) believe that they should be able to receive emergency information over a cell phone during class time.  Seventy-six percent believe that cell phones seldom or never assist in classroom learning.  However, students report that cell phone use impacts on study time outside of class.  Cell phone distractions during study time outside class was reported by 34.6% of the students as happening often or always and an additional 43.5% are sometimes distracted by cell phones during study time. Bad or upsetting news received over a cell phone before class impacts academic performance of 14.2% of the students often or always.  Thirty-five percent of the students talk to parents more than once a day and another 23.7% have contact on a daily basis. Therefore, 59.5% report that they have contact with their parents at least once a day.    Fifteen percent of the students pay over $100 per month for cell phone service, 28% pay from $75 to $100, 34% spend $51 to $75, and 14% spend $26 to $50 per month.  More than 90% of the students report that they have text messaging, calculator, clock, calendar, and appointment reminder on their cell phone.  Over 70% have the internet and games.  Over 60% have a camera and email.  Only 13% have an MP3 music player and 7% have an FM radio.  

scholarly journals Evaluation of stallion sperm motility with ImageJ using a cell phone camera and a light microscope

2020 ◽  
Vol 72 (6) ◽  
pp. 2007-2016
Author(s):  
G.P. Freitag ◽  
L.G.F. Lima ◽  
L.E. Kozicki ◽  
L.C.S. Felicio ◽  
R.R. Weiss
Keyword(s):  
Sperm Motility ◽  
Light Microscope ◽  
Cell Phone ◽  
Visual Analysis ◽  
Semen Analysis ◽  
Reference Method ◽  
Computer Assisted ◽  
Lower Accuracy ◽  
Chi Squared ◽  
A Cell

ABSTRACT This study aimed to determine the accuracy of assessing stallion sperm motility using a light microscope, a cell phone camera, and a free computer-assisted semen analysis (FCASA) package for ImageJ. The total motility of frozen (n=22) and cooled (n=48) equine semen was determined by FCASA and compared to the results of subjective visual analysis (SVA) by two technicians. Frozen samples were also evaluated by a commercial computer-assisted semen analysis (CCASA) system. The Friedman test revealed no significant differences (P>0.05) between cooled samples analyzed by FCASA (38.0) and SVA (technician 1, 40.0; technician 2, 40.0), nor between frozen samples analyzed by FCASA (23.36 ± 15.9), SVA (25.5 ± 18.8 and 25.8 ± 18.5), and CCASA (25.2 ± 18.3). However, mean FCASA results were underestimated by 7.2% compared with CCASA. The correlation between FCASA and CCASA was significant and strong (P<0.0001, r=0.95). Chi-squared tests indicated that FCASA provided similar results (P=0.14) to the reference method (CCASA), but SVA had lower accuracy (P=0.04). ImageJ analysis of cell phone videos captured under a light microscope can be used for estimation of stallion sperm motility with comparable accuracy to commercial systems.

Mobile Handset Technology

2017 ◽  
pp. 97-133
Keyword(s):  
Cell Phone ◽  
Cell Phones ◽  
Base Station ◽  
Text Messages ◽  
Full Duplex ◽  
Small Cells ◽  
Analog To Digital ◽  
Mp3 Players ◽  
Radio Equipment ◽  
A Cell

Wireless phones which receive their signals from towers. A cell is typically the area (several miles) around a tower in which a signal can be received. Cell phones provide array of functions. Depending on the type of mobile phone we can store contact information, keep track of appointments and set reminders, Use the built-in calculator for simple math, send or receive e-mail, get information (news, entertainment, stock quotes) from the internet, play games, watch TV, send text messages, integrate other devices such as PDAs, MP3 players and GPS receivers. A cell phone is a full-duplex device meaning that both people on the call can talk at once. Division of a city into small cells allows extensive frequency reuse across a city, so that millions of people can use cell phones simultaneously. Cell phones operate within cells, and they can switch cells as they move around. Cells give cell phones incredible range. Someone using a cell phone can drive hundreds of miles and maintain a conversation the entire time because of the cellular approach. Each cell has a base station that consists of a tower and a small building containing the radio equipment. The cell phones have evolved from Analog to Digital which has been described in the previous chapter. This chapter describes the two main standards for mobile phones i.e. GSM and WAP.

scholarly journals Virtual Assisted Self Interviewing (VASI): An Expansion of Survey Data Collection Methods to Virtual Worlds by Means of VDCI

2010 ◽  
Vol 3 (3) ◽  
Author(s):  
Mark W. Bell ◽  
Edward Castronova ◽  
Gert G. Wagner
Keyword(s):  
Data Collection ◽  
Virtual Worlds ◽  
Second Life ◽  
Panel Study ◽  
Careful Consideration ◽  
Computer Assisted ◽  
Sampling Frame ◽  
Open Questions ◽  
High Level ◽  
Sampling Procedures

Changes in communication technology have allowed for the expansion of data collection modes in survey research.  The proliferation of the computer has allowed the creation of web and computer assisted auto-interview data collection modes.  Virtual worlds are a new application of computer technology that once again expands the data collection modes by VASI (Virtual Assisted Self Interviewing).  The Virtual Data Collection Interface (VDCI) developed at Indiana University in collaboration with the German Socio-Economic Panel Study (SOEP) allows survey researchers access to the population of virtual worlds in fully immersive Heads-up Display (HUD)-based survey instruments.  This expansion needs careful consideration for its applicability to the researcher’s question but offers a high level of data integrity and expanded survey availability and automation.  Current open questions on the VASI method concern the optimal sampling frame and sampling procedures within a virtual world like Second Life (SL).  Further multimodal studies are proposed to aid in evaluating the VDCI and placing it in the context of other data collection modes.

Cell phone availability and usage for mobile health and intervention delivery to persons living with HIV in a low-resource setting. (Preprint)

2021 ◽  
Author(s):  
Julian Adong ◽  
Robin Fatch ◽  
Nneka Emenyonu ◽  
Winnie Muyindike ◽  
Christine Ngabirano ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Cell Phone ◽  
Text Messages ◽  
Hiv Care ◽  
P Value ◽  
Cell Phone Use ◽  
Intervention Delivery ◽  
Resource Setting ◽  
Persons Living With Hiv ◽  
A Cell

BACKGROUND HIV/AIDS is now a chronic illness due to effective antiretroviral therapy (ART) and involves routine follow-up care, including regular physical visits to the clinic. In the recent past, and in wake of the COVID-19 pandemic, there has been increased need for virtual care and intervention delivery, a modality known as mHealth, which includes cell phone-delivered services OBJECTIVE Here we describe cell phone use and its relationship with alcohol use in a cohort of persons with HIV (PWH) and latent tuberculosis (TB). METHODS We performed a cross-sectional analysis of baseline data from a cohort of PWH and latent TB in HIV care in south-western Uganda. We estimated proportions of cell phone and text message use and evaluated their associations with alcohol use, a common modifiable behaviour among PWH. Cell phone use (primary outcome) was defined as owning a cell phone that is turned on at least half of the day. Any alcohol use was defined as any self-reported alcohol use in the prior 3 months, and/or phosphatidylethanol (an alcohol biomarker) ≥8 ng/ml. RESULTS A total of 300 participants were included in the analysis, with a median age of 40 years; 48.7% were male. Majority (89.0%) of participants had access to a phone and of these 9.7% shared the phone with someone else. Eighty-seven percent owned a cell phone that is turned on at least half of the time; the majority (89.7%) rarely or never sent text messages, and over two-thirds (66.9%) rarely or never received text messages. 71.3% had any alcohol use. In adjusted analyses, any alcohol use was not significantly associated with cell phone use (adjusted OR [aOR]: 0.48, 95% confidence interval [CI]: 0.18-1.25, p-value=.13), or sending (aOR: 0.82, 95% CI: 0.28-2.37, p-value=.71) or receiving (aOR: 1.31, 95% CI: 0.70-2.47, p-value= .40) of text messages. CONCLUSIONS There is hope that mHealth interventions in this population can be carried out using cell phones due to their popularity; however, the interventions may need to employ methods that do not rely on the sending and receiving of text messages only. CLINICALTRIAL NCT 03302299

Comparing a Cell Phone Survey and a Web Survey of University Students

2014 ◽  
Vol 33 (3) ◽  
pp. 399-410 ◽  
Author(s):  
Youngje Woo ◽  
Sunwoong Kim ◽  
Mick P. Couper
Keyword(s):  
University Students ◽  
Cell Phone ◽  
Web Survey ◽  
Phone Survey ◽  
A Cell

Experimental Comparison of PC Web, Smartphone Web, and Telephone Surveys in the New Technology Era

2018 ◽  
Vol 37 (2) ◽  
pp. 234-247 ◽  
Author(s):  
Hana Lee ◽  
Sunwoong Kim ◽  
Mick P. Couper ◽  
Youngje Woo
Keyword(s):  
New Technology ◽  
Experimental Comparison ◽  
Computer Assisted ◽  
Web Survey ◽  
Item Nonresponse ◽  
Web Surveys ◽  
Telephone Surveys ◽  
Annual Survey ◽  
Conventional Cell ◽  
Cati Survey

Smartphones have become very popular globally, and smartphone ownership has overtaken conventional cell phone ownership in many countries in recent years. With this rapid rise in smartphone penetration, researchers are looking at ways to conduct web surveys using smartphones. This is particularly true of student populations where smartphone penetration is very high and web surveys are already the norm. However, researchers are raising concerns about selection biases and measurement differences between PC and smartphone respondents. Questions also remain about comparisons to traditional interviewer-administered approaches. We designed an experimental comparison between a PC web survey, a smartphone web survey and a computer-assisted telephone interviewing (CATI) survey. This study was conducted using an annual survey of students at a large university in South Korea. The CATI (interviewer-administered) survey had a higher response rate, lower margins of error, and better representation of the student population than the two web (self-administered) modes, but at a higher cost. The CATI survey also had lower rates of item nonresponse. More significant differences were found between the modes for sensitive questions than for nonsensitive ones. This suggests that CATI surveys may still have a role to play in surveys of college students, even in a country with high rates of mobile technology adoption.

The Evolution of Augmentative Communication and the Importance of Alternate Access

2011 ◽  
Vol 20 (1) ◽  
pp. 34-37 ◽  
Author(s):  
David Chapple
Keyword(s):  
Augmentative And Alternative Communication ◽  
Cell Phone ◽  
Handheld Devices ◽  
Alternative Communication ◽  
Access Methods ◽  
The Past ◽  
Communication Device ◽  
Internet Browser ◽  
A Cell ◽  
Development Of Language

Abstract Over the past 20 years, there have been many advances in the computer industry as well as in augmentative and alternative communication (AAC) devices. Computers are becoming more compact and have multiple purposes, such as the iPhone, which is a cell phone, mp3 player, and an Internet browser. AAC devices also have evolved to become multi-purpose devices; the most sophisticated devices have functionality similar to the iPhone and iPod. Recently, the idea of having the iPhone and iPad as a communication device was initiated with the development of language applications specifically for this format. It might be true that this idea could become the future of AAC devices; however, there are major access issues to overcome before the idea is a reality. This article will chronicle advancements in AAC devices, specifically on access methods, throughout the years, towards the transition to handheld devices. The newest technologies hold much promise with both features and affordability factors being highly attractive. Yet, these technologies must be made to incorporate alternate access if they are to meet their fullest potential as AAC tools.

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.

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