Mobile-Based Research Methods

2007 ◽  
pp. 639-643
Author(s):  
S. Okazaki ◽  
A. Katsukura ◽  
M. Nishiyama
Keyword(s):  
Data Quality ◽  
Research Methods ◽  
Mobile Device ◽  
Questionnaire Survey ◽  
Survey Methodology ◽  
Response Rate

The aim of this article is to propose a framework of mobile-based survey methodology. Specifically, we attempt to establish guidelines for a questionnaire survey via the mobile device, in terms of cost, questionnaire format, incentives, target respondents, response rate, and data quality.

scholarly journals Dynamic Question Ordering in Online Surveys

2017 ◽  
Vol 33 (3) ◽  
pp. 625-657 ◽  
Author(s):  
Kirstin Early ◽  
Jennifer Mankoff ◽  
Stephen E. Fienberg
Keyword(s):  
Case Studies ◽  
Survey Methodology ◽  
Response Rate ◽  
General Survey ◽  
Online Surveys ◽  
Rule Based ◽  
Past Work ◽  
National Surveys ◽  
Question Order ◽  
Rule Based Approach

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.

Use of Mobile Device Applications In Canadian Dietetic Practice

2014 ◽  
Vol 75 (1) ◽  
pp. 41-47 ◽  
Author(s):  
Jessica R.L. Lieffers ◽  
Vivienne A. Vance ◽  
Rhona M. Hanning
Keyword(s):  
Mobile Device ◽  
Response Rate ◽  
Access To Information ◽  
Personal Factors ◽  
Cross Sectional ◽  
Web Based ◽  
Content Quality ◽  
Information Tools ◽  
Device Applications ◽  
Workplace Factors

Purpose A cross-sectional web-based survey of dietitians was used to explore topics related to mobile devices and their applications (apps) in Canadian dietetic practice. Methods A survey was drafted, posted on SurveyMonkey, and pretested with dietitians and dietetic interns. Dietitians of Canada (DC), a supporter of this work, promoted the survey to members through its monthly electronic newsletters from January 2012 to April 2012. Results Of 139 dietitians who answered some survey questions, 118 finished the survey; this represents a response rate of approximately 3%. Overall, 57.3% of respondents reported app use in practice, and 54.2% had a client ask about or use a nutrition/food app. About 40.5% of respondents had recommended nutrition/food apps to clients. Respondents were enthusiastic about apps, but many described challenges with use. From the survey data, three themes emerged that can affect dietitians’ use of apps and whether they recommend apps to clients: mobile device and app factors (access to information/ tools, content quality, usability, accessibility/compatibility, and cost), personal factors (knowledge, interest, suitability, and willingness/ability to pay), and workplace factors. Conclusions Apps are now infiltrating dietetic practice. Several factors can affect dietitians’ use of apps and whether they recommend them to clients. These findings will help guide future development and use of apps in practice.

scholarly journals The effect of a web-push survey on physician survey response rates: a randomized experiment.

2019 ◽  
Author(s):  
Cristine D. Delnevo ◽  
Binu Singh
Keyword(s):  
Survey Methodology ◽  
Response Rate ◽  
Mail Survey ◽  
Cost Effective ◽  
Response Rates ◽  
National Sample ◽  
High Response Rate ◽  
Future Research ◽  
Effective Delivery ◽  
The Web

Abstract Background: Achieving a high response rate for physicians has been challenging and with response rates declining in recent years, innovative methods are needed to increase rates. An emerging concept in survey methodology has been web-push survey delivery. In this delivery method, contact is made by mail to request a response by web. This study explored the feasibility of a web-push survey on a national sample of physicians. Methods: 1000 physicians across six specialties were randomly assigned to a mail only or web-push survey delivery. Each mode consisted of four contacts including an initial mailing, reminder postcard, and two additional follow-ups. Response rates were calculated using AAPOR’s response rate 3 calculation. Data collection occurred between Febuary – April 2018 and analyzed March 2019. Results: Overall reponse rates for the mail only vs. web-push survey delivery were comparable (51.2% vs. 52.8%). Higher response rates across all demographics were seen in the web-push delivery with the exception of pulmonary/critical care and physicians over the age of 65. The web-push survey yielded a greater response after the first mailing requiring fewer follow-up contacts resulting in a more cost-effective delivery. Conclusions: A web-push mail survey is effective in achieveing a comparable response rate to traditional mail only delivery for physicians. The web-push survey was more efficient in terms of cost and in receiving responses in a more timely manner. Future research should explore the efficiency of a web-push survey delivery across various health care provider populations.

Scoping study into wound management nurse practitioner models of practice

2015 ◽  
Vol 39 (2) ◽  
pp. 220 ◽  
Author(s):  
Michelle A. Gibb ◽  
Helen E. Edwards ◽  
Glenn E. Gardner
Keyword(s):  
Patient Outcomes ◽  
Nurse Practitioner ◽  
Survey Methodology ◽  
Response Rate ◽  
Wound Management ◽  
Scoping Study ◽  
Wound Debridement ◽  
Australian Context ◽  
Practice Parameters ◽  
Baseline Information

Objectives The primary objective of this research was to investigate wound management nurse practitioner (WMNP) models of service for the purposes of identifying parameters of practice and how patient outcomes are measured. Methods A scoping study was conducted with all authorised WMNPs in Australia from October to December 2012 using survey methodology. A questionnaire was developed to obtain data on the role and practice parameters of authorised WMNPs in Australia. The tool comprised seven sections and included a total of 59 questions. The questionnaire was distributed to all members of the WMNP Online Peer Review Group, to which it was anticipated the majority of WMNPs belonged. Results Twenty-one WMNPs responded (response rate 87%), with the results based on a subset of respondents who stated that, at the time of the questionnaire, they were employed as a WMNP, therefore yielding a response rate of 71% (n = 15). Most respondents (93%; n = 14) were employed in the public sector, with an average of 64 occasions of service per month. The typical length of a new case consultation was 60 min, with 32 min for follow ups. The most frequently performed activity was wound photography (83%; n = 12), patient, family or carer education (75%; n = 12), Doppler ankle–brachial pressure index assessment (58%; n = 12), conservative sharp wound debridement (58%; n = 12) and counselling (50%; n = 12). The most routinely prescribed medications were local anaesthetics (25%; n = 12) and oral antibiotics (25%; n = 12). Data were routinely collected by 91% of respondents on service-related and wound-related parameters to monitor patient outcomes, to justify and improve health services provided. Conclusion This study yielded important baseline information on this professional group, including data on patient problems managed, the types of interventions implemented, the resources used to accomplish outcomes and how outcomes are measured. What is known about the topic? The nurse practitioner (NP) is an established and legitimised entity of health service in Australia, with NPs in a range of specialities. To date, there is a paucity of research on the role and practice parameters of WMNP in the Australian context. What does this paper add? This paper provides important baseline information on WMNP models of practice in the Australian context, including data on patient problems managed, the types of interventions implemented, the resources used to accomplish outcomes and how outcomes are currently measured. This information will help inform the development of WMNP roles and highlights potential areas of evaluation for WMNP models of care. What are the implications for practitioners? Measurement of outcomes is essential to demonstrate efficacy of NP service. Yet, there is no way currently to measure these outcomes for WMNP service. Nationally consistent data collection on processes of care and patient outcomes supports ongoing development of the WMNP role.

scholarly journals Research Synthesis

2019 ◽  
Vol 83 (3) ◽  
pp. 598-626 ◽  
Author(s):  
Caroline Roberts ◽  
Emily Gilbert ◽  
Nick Allum ◽  
Léïla Eisner
Keyword(s):  
Data Quality ◽  
English Language ◽  
Survey Methodology ◽  
Future Research ◽  
Journal Articles ◽  
Inclusion Criteria ◽  
Response Error ◽  
Response Strategies ◽  
Online Databases ◽  
Different Types

Abstract Herbert Simon’s (1956) concept of satisficing provides an intuitive explanation for the reasons why respondents to surveys sometimes adopt response strategies that can lead to a reduction in data quality. As such, the concept rapidly gained popularity among researchers after it was first introduced to the field of survey methodology by Krosnick and Alwin (1987), and it has become a widely cited buzzword linked to different forms of response error. In this article, we present the findings of a systematic review involving a content analysis of journal articles published in English-language journals between 1987 and 2015 that have drawn on the satisficing concept to evaluate survey data quality. Based on extensive searches of online databases, and an initial screening exercise to apply the study’s inclusion criteria, 141 relevant articles were identified. Guided by the theory of survey satisficing described by Krosnick (1991), the methodological features of the shortlisted articles were coded, including the indicators of satisficing analyzed, the main predictors of satisficing, and the presence of main or interaction effects on the prevalence of satisficing involving indicators of task difficulty, respondent ability, and respondent motivation. Our analysis sheds light on potential differences in the extent to which satisficing theory holds for different types of response error, and highlights a number of avenues for future research.

scholarly journals The vulnerability paradox in global mental health and its applicability to suicide

2019 ◽  
Vol 215 (04) ◽  
pp. 588-593 ◽  
Author(s):  
Michel L. A. Dückers ◽  
Lennart Reifels ◽  
Derek P. De Beurs ◽  
Chris R. Brewin
Keyword(s):  
Mental Health ◽  
Data Quality ◽  
Goodness Of Fit ◽  
Survey Methodology ◽  
Mental Health Problems ◽  
Global Mental Health ◽  
Vulnerability Index ◽  
Health Problems ◽  
World Health ◽  
Country Level

BackgroundPrevious research has identified a vulnerability paradox in global mental health: contrary to positive associations at the individual level, lower vulnerability at the country level is accompanied by a higher prevalence in a variety of mental health problems in national populations. However, the validity of the paradox has been challenged, specifically for bias from modest sample sizes and reliance on a survey methodology not designed for cross-national comparisons.AimsTo verify whether the paradox applies to suicide, using data from a sizable country sample and an entirely different data source.MethodWe combined data from the World Health Organization 2014 suicide report and the country vulnerability index from the 2016 World Risk Report. Suicide was predicted in different steps based on gender, vulnerability and their interaction, World Bank income categories, and suicide data quality.ResultsA negative association between country vulnerability and suicide prevalence in both women and men was found. Suicide rates were higher for men, regardless of country vulnerability. The model predicting suicide in 96 countries based on gender, vulnerability, income and data quality had the best goodness-of-fit compared with other models. The vulnerability paradox is not accounted for by income or data quality, and exists across and within income categories.ConclusionsThe study underscores the relevance of country-level factors in the study of mental health problems. The lower mental disorder prevalence in more vulnerable countries implies that living in such countries fosters protective factors that more than compensate for the limitations in professional healthcare capacity.Declaration of interestNone.

Telephone Sample Surveys: Dearly Beloved or Nearly Departed? Trends in Survey Errors in the Era of Declining Response Rates

2020 ◽  
Author(s):  
David Dutwin ◽  
Trent D Buskirk
Keyword(s):  
Data Quality ◽  
Cell Phone ◽  
Response Rate ◽  
Linear Trend ◽  
Low Cost ◽  
Response Rates ◽  
General Role ◽  
Telephone Surveys ◽  
The Past ◽  
Fit For Purpose

Abstract Telephone surveys have become much maligned in the past few years, considering recent failures to correctly predict elections worldwide, response rates declining into the single digits, and the rise of low-cost, nonprobabilistic alternatives. Yet there is no study assessing the degree to which data attained via modern-day telephone interviewing has or has not significantly declined in terms of data quality. Utilizing an elemental approach, we evaluate the bias of various cross-tabulations of core demographics from a collection of surveys collected over the past two decades. Results indicate that (1) there has been a modest increase in bias over the past two decades but a downward trend in the past five years; (2) the share of cell phone interviews in samples has a significant impact on the bias; (3) traditional weighting largely mitigates the linear trend in bias; and (4), once weighted, telephone samples are nearly on par in data quality to higher response rate unweighted in-person data. Implications for the “fit for purpose” of telephone data and its general role in the future of survey research are discussed given our findings.

SME Survey Methodology: Response Rates, Data Quality, and Cost Effectiveness

2003 ◽  
Vol 28 (2) ◽  
pp. 163-172 ◽  
Author(s):  
Rick Newby ◽  
John Watson ◽  
David Woodliff
Keyword(s):  
Cost Effectiveness ◽  
Data Collection ◽  
Data Quality ◽  
Survey Methodology ◽  
Methodological Issue ◽  
Cost Effective ◽  
Response Rates ◽  
Mail Surveys ◽  
Medium Enterprise ◽  
Quality Response

Cost effective data collection is an important methodological issue for small and medium enterprise (SME) researchers. There is a generally held view that mail surveys are the most efficient means of collecting empirical data, despite the potential difficulties associated with low response rates. To enhance the usefulness of mail surveys, researchers have suggested a variety of strategies aimed at improving response rates. While previous studies have examined the effect on response rates of many of these strategies, their impact on data quality and on the cost effectiveness of data collection is less well understood. This study evaluates four response–inducing strategies (printing the survey instrument on colored paper, telephone pre–notification, payment of a monetary incentive, and a follow–up mailing) in terms of their effect on data quality, response rates, and cost effectiveness for a population of SMEs.

scholarly journals FACILITIES MANAGEMENT OUTSOURCING: THEORETICAL TRENDS AND EVIDENCE FROM PRACTICE IN NIGERIA AND UNITED KINGDOM

2016 ◽  
Vol 20 (2) ◽  
pp. 207-219 ◽  
Author(s):  
Dubem I. IKEDIASHI ◽  
Isaac A. ODESOLA
Keyword(s):  
Questionnaire Survey ◽  
Response Rate ◽  
Cost Effective ◽  
Integrated Approach ◽  
Management Tool ◽  
Facilities Management ◽  
Related Services ◽  
High Profile ◽  
Current State ◽  
British Institute

Previous research has acknowledged facilities management (FM) as a discipline that optimises the delivery of facilities and its related services through use of high profile strategies that provide cost effective, high quality and integrated approach to the concept of managing facilities and its related services. The purpose of this paper is to examine the theoretical trends in outsourcing of FM functions and the current state of FM practice using Nigeria and UK as case studies. This re- search used a combination of literature review and questionnaire survey. The questionnaire survey was conducted to further explore (through comparative analysis) the perception of 30 (15 from UK and 15 from Nigeria) carefully selected facilities managers in UK and Nigeria who are subscribing members of British Institute of Facilities Management (BIFM) and International Facilities Manage- ment Association (IFMA) Nigeria’s chapter respectively. 22 respondents consisting of 13 received from UK respondents and 9 from Nigeria responded to the survey giving a response rate of 73%. Findings reveal among others that FM has grown from the traditional day-to-day operational management to being a strategic management tool; while janitorial services and facilities maintenance remain the most outsourced FM services.

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