Web Survey Bibliography
Title Measuring Subjective Health and Life Satisfaction with U.S. Hispanics
Year 2017
Access date 15.09.2017
Abstract Health and well-being are two important issues not only in research but also in policy. While accurate measurement of these attributes is critical, extant research indicates its difficulty in survey research. The main difficulties stem from the subjective nature of the concepts of health and well-being, as well as the use of response options with vague quantifiers. These difficulties become more evident for cross-cultural studies, where the concepts of health and well-being themselves may not be comparable. Moreover, their measurement instruments may not function equivalently.
This study focuses on the U.S. Hispanics and examines three variables: 1) self-rated health (SRH) and 2) life satisfaction (LS) measured with single item and 3) LS measured with five items. On SRH, Hispanics are known to report negative health more than non-Hispanic Whites, and non-equivalent translation of the English response categories of “excellent,” “very good,” “good,” “fair,” and “poor” has been hypothesized as a potential contributor. With the 5-item LS scale, all items are stated in a positive direction and asked with the Likert-type agreement response scale. As Hispanics are shown to be associated with acquiescent response style, the current 5-item LS scale may lead to an overestimation of LS for Hispanics. Motivated by these specific issues, we implemented the following experiments: 1) on SRH, translation of the response category, “fair,” into “regular” versus “passable”; and 2) on the five-item LS scale, direction of item wordings to be all positive versus balanced. Respondents were randomly assigned to one of the two conditions under each experiment. Using this experimental data, we will examine simple response distribution, item characteristics based on item response theory and relationships across three measures. These examinations will be carried out by considering interview language. The main data will come from a telephone survey of 1,296 U.S. Hispanics, supplemented by a Web survey a nonprobability sample of 1,416 Spanish speakers in the U.S. The web survey data was provided by SurveyMonkey, but all analysis will be done by the authors.
This study focuses on the U.S. Hispanics and examines three variables: 1) self-rated health (SRH) and 2) life satisfaction (LS) measured with single item and 3) LS measured with five items. On SRH, Hispanics are known to report negative health more than non-Hispanic Whites, and non-equivalent translation of the English response categories of “excellent,” “very good,” “good,” “fair,” and “poor” has been hypothesized as a potential contributor. With the 5-item LS scale, all items are stated in a positive direction and asked with the Likert-type agreement response scale. As Hispanics are shown to be associated with acquiescent response style, the current 5-item LS scale may lead to an overestimation of LS for Hispanics. Motivated by these specific issues, we implemented the following experiments: 1) on SRH, translation of the response category, “fair,” into “regular” versus “passable”; and 2) on the five-item LS scale, direction of item wordings to be all positive versus balanced. Respondents were randomly assigned to one of the two conditions under each experiment. Using this experimental data, we will examine simple response distribution, item characteristics based on item response theory and relationships across three measures. These examinations will be carried out by considering interview language. The main data will come from a telephone survey of 1,296 U.S. Hispanics, supplemented by a Web survey a nonprobability sample of 1,416 Spanish speakers in the U.S. The web survey data was provided by SurveyMonkey, but all analysis will be done by the authors.
Access/Direct link Conference Homepage (abstract) / (presentation)
Year of publication2017
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography - Mobile phone surveys (305)
- Measuring Subjective Health and Life Satisfaction with U.S. Hispanics; 2017; Lee, S.; Davis, R.
- Device and Internet Use among Spanish-dominant Hispanics: Implications for Web Survey Design and Testing...; 2017; Trejo, Y. A. G.; Schoua-Glusberg, A.
- How to Design a Web Survey Using Spring Boot With MYSQL: a Romanien Network Case Study; 2017; Bucea-Manea-Tonis, Ro.; Bucea-Manea-Tonis, Ra.
- Analyzing Survey Characteristics, Participation, and Evaluation Across 186 Surveys in an Online Opt-...; 2017; Revilla, M.
- Data chunking for mobile web: effects on data quality; 2017; Lugtig, P. J.; Toepoel, V.
- Mobile-only web survey respondents; 2016; Lugtig, P. J.; Toepoel, V.; Amin, A.
- Development and Pilot Test of a Mobile Application for Field Data Collection; 2016; Chiappetta, L.; Kerr, M. M.
- Are Initial Respondents Different from the Nonresponse Follow-Up Cases? A Study of Probability-Based...; 2016; Zeng, W.; Dennis, J. M.
- A Feasibility Study of Recruiting and Maintaining a Web Panel of People with Disabilities; 2016; Chandler, J.
- Why Do Web Surveys Take Longer on Smartphones?; 2016; Couper, M. P.; J. J.Peterson, G. J.
- Web surveys for offline rural communities ; 2016; Gichohi, B. W.
- Pre-Survey Text Messages (SMS) Improve Participation Rate in an Australian Mobile Telephone Survey:...; 2016; Dal Grande, E.; Chittleborough, C. R.; Campostrini, S.; Dollard, M.; Taylor, A. W.
- Short and Sweet? Length and Informative Content of Open-Ended Responses Using SMS as a Research Mode; 2016; Walsh, E.; Brinker, J. K.
- Collecting Data from mHealth Users via SMS Surveys: A Case Study in Kenya; 2016; Johnson, D.
- Online Surveys are Mixed-Device Surveys. Issues Associated with the Use of Different (Mobile) Devices...; 2016; Toepoel, V.; Lugtig, P. J.
- Using Mobile Phones for High-Frequency Data Collection; 2015; Azevedo, J. P.; Ballivian, A.; Durbin, W.
- Who Are the Internet Users, Mobile Internet Users, and Mobile-Mostly Internet Users?: Demographic Differences...; 2015; Antoun, C.
- Mobile Research Methods: Opportunities and challenges of mobile research methodologies. ; 2015; Toninelli, D. (Ed.); Pinter, R.; de Pedraza, P.
- Web Surveys Optimized for Smartphones: Are there Differences Between Computer and Smartphone Users?; 2015; Andreadis, I.
- Usability of the ACS Internet Instrument on Mobile Devices; 2015; Horwitz, R.
- GreenBook Research Industry Trends Report; 2015; Murphy, L. (Ed.)
- Emerging Technologies: The Rise of Mobile Devices: From Smartphones to Smart Surveys; 2015; Buskirk, T. D.
- PayPal? An Incentive to Check-out?; 2015; Franklin, J.; Rasmussen, C.; Pruitt, J.; Waller, D.
- Designing Bonsai Surveys: The small but perfectly formed survey experience to meet the needs of the...; 2015; Puleston, J.
- Open narrative questions in PC and smartphones: is the device playing a role?; 2015; Revilla, M.; Ochoa, C.
- Recruiting Respondents for a Mobile Phone Panel: The Impact of Recruitment Question Wording on Cooperation...; 2015; Busse, B.; Fuchs, M.
- Internet Research in Psychology; 2015; Gosling, S. D., Mason, W.
- Are Tailored Outreach Efforts Too Costly? An Assessment of a Responsive Design Approach to Control Costs...; 2015; Epps, S. R.; Getman, D. P.; Hall, L. M.; Hunter, J. A.
- Evaluating Visual Design Elements for Data Collection and Panelist Engagement; 2015; Christian, L. M.; Harm, D.; Langer Tesfaye, C.; Wells, T.
- Does the use of mobile devices (tablets and smartphones) affect survey quality and choice behaviour...; 2015; Liebe, U., Glenk, K., Oehlmann, M., Meyerhoff, J.
- When it comes to mobile respondent experience and data quality, survey design matters; 2014; Mitchell, N.
- The Changing Landscape of Technology and its Effect on Online Survey Data Collection; 2014; Mitchell, N.
- The need of and the demand for completing surveys on mobile devices; 2014; Toninelli, D., Revilla, M., Ochoa, C.
- Survey participation via mobile devices in a probability-based online-panel: Prevalence, determinants...; 2014; Poggio, T., Bosnjak, M., Weyandt, K.
- Keeping Surveys Valid, Reliable, and Useful: A Tutorial; 2014; Greenberg, M. R., Weiner, M. D.
- Improving Response Rates and Questionnaire Design for Mobile Web Surveys; 2014; de Bruijne, M., Wijnant, A.
- Does Survey Mode Still Matter? Findings from a 2010 Multi-Mode Comparison; 2014; Ansolabehere, S., Schaffner, B. F.
- Nonresponse and Mode Effects in Self- and Interviewer-Administered Surveys; 2014; Atkeson, L. R.; Adams, A. N.; Alvarez, M. R.
- Do Web surveys facilitate reporting less favourable opinions about law enforcement?; 2014; Boivin, R., Cordeau, G.
- Question Grouping and Matrices in Web Surveys: Using Response and Auxiliary Data to Examine Question...; 2014; Bilgen, I., Stern, M. J.
- The Grouping of Items in Mobile Web Surveys; 2014; Mavletova, A. M., Couper, M. P.
- Moving answers with the GyroScale: Using the mobile device’s gyroscope for market research purposes...; 2014; Luetters, H., Kraus, M., Westphal, D.
- Students First Choice – the influence of mobile mode on results; 2014; Maxl, E.
- Device Effects: How different screen sizes affect answer quality in online questionnaires; 2014; Fischer, B., Bernet, F.
- Moving towards mobile ready web panels; 2014; Wijnant, A., de Bruijne, M.
- Online mobile surveys in Italy: coverage and other methodological challenges; 2014; Poggio, T.
- Comparison of Three Modes for a Crime Victimization Survey; 2013; Laaksonen, S., Heiskanen, M.
- Understanding Society Innovation Panel Wave 5: results from methodological experiments; 2013; Auspurg, K., Burton, J., Cullinane, C., Delavande, A., Fumagalli, L., Iacovou, M., Jaeckle, A., Kaminska...
- A Comparison of Results from a Spanish and English Mail Survey: Effects of Instruction Placement on...; 2013; Wang, K., Sha, M.
- Intra-individual variation of extreme response style in mixed-mode panel studies; 2013; Aichholzer, J.