Web Survey Bibliography
Accurate measurement of employment is essential to track employment trends in a nation, with the information used to determine the effectiveness of a variety of private and governmental
programs designed to increase employment. Some have noted discrepancies in estimated employment numbers between the Census and the CPS (Census typically has a lower count of
employed people), most often attributed to differences in interviewing mode, time frame reference, or sampling frame. Many researchers using paper-pencil or Web-based questionnaires present a multiple response question (‘Select all that apply’) to assess employment. However, in a telephone interview, employment is often asked through a series of yes-no questions, with the interviewer requesting a ‘yes’ or ‘no’ response for each item presented in sequence (cf. Smyth, Christian, and Dillman, 2008, POQ). In research with selfadministered questionnaires, the Yes-No Grid format has been found to yield a higher level of endorsement than the Multiple Response format in self-administered surveys (Smyth, Dillman, Christian, and Stern, 2006, POQ; Thomas and Klein, 2006, JOS). This paper reports on two studies – Study 1 was a Web-based study that was conducted across 24 monthly waves with over 60,000 respondents (18 or older) using an opt-in non-probability panel, balanced demographically for age, sex, region, education, and income. Respondents were randomly assigned to one of the 3 employment response scale formats: Multiple Response Format (MRF); Yes-No Grid (YNG for employment); Single Response Format (SRF). Study 2 was a Web-based study with over 2700 respondents using a probability-recruited panel (GfKKnowledge Networks) with the same conditions used in Study 1. In both studies, endorsement of every category was higher with the YNG and lowest with the SRF. We will also describe how these results are related to trend changes across quarters and how they are related to other work-related variables, including hours worked/week.
Conference Homepage (abstract)
Web survey bibliography - The American Association for Public Opinion Research (AAPOR) 68th Annual Conference, 2013 (88)
- An Examination of the Relationship Between Pretest Method Results and Data Quality; 2013; Maitland, A.
- Associations Between Interactional Indicators of Problematic Questions and Systems for Coding Question...; 2013; Dykema, J., Schaeffer, N. C., Garbarski, D.
- Evaluation of a Sequential Mixed-Mode Design Experiment with Physicians on Response Rates, Costs, and...; 2013; Geisen, E., Olmsted, M. G., Murphy, J., Stanley, M.
- When We Do Not Know the Difference – the Level of DK in Different Question Formats and Different...; 2013; Schwarzer, S., Zeglovits, E., Connor, D. S.
- Factors Influencing Survey Participation Rates on an Online, Probability-Based Research Panel; 2013; Wiest, D.
- Effects of Self-Awareness on Disclosure During Skype Survey Interviews; 2013; Feuer, S., Schober, M. F.
- The Effect of Differential Mailing Methodologies on Response Rates: Testing Advanced Notices, Pre-Recorded...; 2013; Pens, Y., Cantave, M. A., Gentry, R. J.
- The Influence of Respondent Incentives on Item Nonresponse and Measurement Error in a Web Survey; 2013; Felderer, B., Kreuter, F., Winter, J.
- A Multi-Survey, Multi-Methodological Assessment of Perception of Need and Quality of Life: Opinion Polling...; 2013; Levy, D.,
- Eliminate Item Non-Response: The Effect of Forcing Respondents to Answer in Web Surveys; 2013; Leach, L. M.
- The Influence of Answer Box Format, Personal Topic Interest, and Respondent Characteristics on Response...; 2013; Keusch, F.
- Using Motivating Prompts to Increase Responses to Open-ended Questions in Mixed-mode Surveys: Where...; 2013; Israel, G. D.
- How Open Are We to the Open-Ended Questions?; 2013; Mamedova, S.
- Will Snowball Sampling Leave Your Data in the Cold?; 2013; Cavallaro, K.
- Panel Attrition: Separating Stayers, Sleepers and Other Types of Drop-Out in an Internet Panel; 2013; Lugtig, P. J.
- Building a History: Collecting Comprehensive Employment Data in a Web-Based, Multi-Mode Survey; 2013; Cominole, M., Bennett, C., Caves, L.
- Augmenting Paper Diaries With Phone and Web Data Retrieval: Is it Effective?; 2013; Wargelin, L., Minser, J., Homer, Z., Fleeman, A., ZuWallack, R. S.
- Alone in a Group: Comparison of Effects of a Group-Administered Paper-Pencil Survey Versus an Individually...; 2013; Higgins, W. B., Barlas, F. M., Pflieger, J., Thomas, R. K., Jeffery, D., Mattiko, M.
- The Effect of Survey Mode on Socially Undesirable Responses to Open Ended Questions: Online vs. Paper...; 2013; Hedberg, E., Ceasar, G., Wallace, D.
- Mode Effects in a National Establishment Survey; 2013; Daley, K., Phillips, B. T.
- Cognitive Interviewing in Online Modes: a Comparison of Data Collected in Second Life and Skype; 2013; Swicegood, J. E., Head, B., Dean, E., Keating, M.
- Mobile Browser Web Surveys: Testing Response Rates, Data Quality and Best Practices; 2013; McGeeney, K., Marlar, J.
- Comparing Tablet, Computer, and Smartphone Survey Administrations; 2013; Wells, T., Bailey, J., Link, M. W.
- Speeding and Non-Differentiation in Web Surveys: Evidence of Correlation and Strategies for Reduction...; 2013; Zhang, Che.
- Use of Drag-and-Drop Rating Scales in Web Surveys and Its Effect on Survey Reports and Data Quality; 2013; Kunz, T.
- Effects of Respondent Reluctance, Mode, and Technical Difficulties on Straight- Lining and Refusals...; 2013; Gibson, J. L., Mendelson, J.
- The Relations Among Different Cognitive Shortcuts in Surveys; 2013; Tourangeau, R., Medway, R., Presser, S.
- Differential Incentives in a Dual Mode Survey of Health Care Providers; 2013; Roff, B., Barrett, K.
- Effects of Displaying Videos on Measurement in a Web Survey; 2013; Mendelson, J., Gibson, J. L., Romano Bergstrom, J. C.
- The Effect of Attempting to Recruit Respondents to a Web-Based Diary on Overall Response Rate; 2013; Cantave, M. A. Gentry, R. J.
- Watch Your Language!: The Impact of the Survey Language on Bilingual Hispanics’ Response Process...; 2013; Ay, M., Gross, W., Cobb, C. L., Thomas, R. K.
- Estimation of Expected Academic Engagement Behaviors: The Use of Vague Quantifiers Versus Tallied Responses...; 2013; Cole, J.
- Self-Reported Participation in Research Practices Among Survey Methodology Researchers; 2013; Perez-Vergara, K., Smith, C., Lowenstein, C., Ozonoff, A., Martins, Y.
- Changing of the Guard: Effects of Different Self-Administered Survey Modes on Sensitive Questions; 2013; Barlas, F. M., Higgins, W. B., Pflieger, J., Thomas, R. K., Jeffery, D., Mattiko, M.
- Estimating Measurement Effects of Survey Modes From Between and Within Subject Designs; 2013; Klausch, L. T., Hox, J., Schouten, B.
- Web Versus Outbound: A Mode Face-Off Following the Presidential Debate; 2013; Marlar, J.
- Innovative Retention Methods in Panel Research: Can SmartPhones Improve Long-Term Panel Participation...; 2013; Dayton, J. J., Dyer, A.
- Predicting Survey Breakoff in Internet Survey Panels; 2013; Al Baghal, T., McCutcheon, A. L., Tsabutashvili, D.
- Using GIS to Target Address-Based Samples of Households for a Web (vs. Mail) Response: Evidence from...; 2013; Messer, B. L.
- Is Pushing the General Public to the Web in Address-Based Samples Cost Effective?; 2013; Lesser, V. M.
- Effects of Survey Sponsorship on Internet and Mail Response: Using Address- Based Sampling; 2013; Edwards, M. L.
- Grid Formats, Data Quality, and Mobile Device Use: A Questionnaire Design Approach; 2013; McClain, C., Crawford, S. D.
- Can Embedded Help Text Links in Web Survey Items Improve Data Quality?; 2013; Janson, N., Bennett, C., Caves, L., Cominole, M., Shepherd, B., Wine, J.
- Using the iPad as a Prize-Based Incentive to Boost Response Rates: A Case Study at Brigham Young University...; 2013; McClendon, R., Olsen, D.
- Can Google Consumer Surveys Help Pre-Test Alternative Versions of a Survey Question?: A Comparison of...; 2013; Stern, M. J., Welch, W. W.
- Online Panels: Recruitment Based on “Hot Topics” – What are the Consequences?; 2013; Andreasson, M., Martinsson, J.
- Social Network Analysis and Survey Response: How Facebook Data Can Supplement Survey Data; 2013; Sage, A.
- Surveywalls: A Breakthrough for Survey Customers or DIY Run Amok?; 2013; Wells, T., Dean, E., Rao, K., Murphy, J., Roe, D. J.
- Examining the Effects of Interventions to Obtain Participation via Less Expensive Modes: Results from...; 2013; Harris-Kojetin, L., Sengupta, M., Hobbs, M., Greene, A.
- Evaluating the Effect of a Non-Monetary Incentive in a Nationally Representative Mixed-Mode Establishment...; 2013; Sengupta, M., Harris-Kojetin, L., Hobbs, M., Greene, A.