Web Survey Bibliography
You can learn a lot from your customers and employees - if you can get them to fill out your survey. Surveys are a powerful and cost-effective way to not only gather information, but also identify and diagnose problems as well as uncover any new and emerging opportunities. However, one of the biggest challenges that many companies face in conducting surveys is getting enough people to take their survey (i.e. getting a high enough response rate) to ensure that their survey results are accurate. While there is no single, silver bullet for improving response rates, there are some easy steps that companies can take that, when combined, will help them improve their survey response rates. This white paper from Allegiance discusses what those steps are.
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Web Survey Bibliography - Standards, codes (430)
- Improving Surveys with Paradata: Analytic Uses of Process Information; 2013; Kreuter, F.
- Addressing Disclosure Concerns and Analysis Demands in a Real-Time Online Analytic System; 2013; Krenzke, T., Gentleman, J. F., Li, J., Moriarity, C.
- Consolidation and Standardization of Survey Operations at a Decentralized Federal Statistical Agency; 2013; Nealon, J., Gleaton, E.
- Ethics, privacy and data security in web-based course evaluation; 2013; Salaschek, M., Meese, C., Thielsch, M.
- Beyond methodology - some ethical implications of "doing research online"; 2013; Heise, N.
- Improving Survey Website Usability ; 2012; Vannette, D.
- Transparency, Access and the Credibility of Survey Research; 2012; Lupia, A.
- Anonymity and Confidentiality; 2012; Tourangeau, R.
- Cognitive Evaluation of Survey Instruments: State of the Science (Art?) and Future Directions; 2012; Willis, G. B.
- What Human Language Technology can do for you (and vice versa); 2012; Liberman, M.
- How to provide high data quality in online-questionnaires: Setting guidelines in design; 2012; Tries, S., Nebel, S., Blanke, K.
- Comparability of Survey Measurements; 2012; Oberski, D.
- Classification of Surveys; 2012; Stoop, I., Harrison, E.
- Enhancing Web Surveys With New HTML5 Input Types; 2012; Funke, F.
- Why one should incorporate the design weights when adjusting for unit nonresponse using response homogeneity...; 2012; Kott, P. S.
- Do You Know Who Your Respondents Are? Measuring Data Hygiene Using Respondent Validation; 2012; Frede, S., Suresh, N.
- Sponsored White Paper: 11 Easy Ways to Improve Your Survey Response Rates ; 2012
- Flash Programming for the Social & Behavioral Sciences: A Simple Guide to Sophisticated Online Surveys...; 2012; Weinstein, Y.
- Assessing the Quality of Survey Data ; 2012; Blasius, J.
- Designing and Doing Survey Research; 2012; Andres, L.
- Handbook of Survey Methodology for the Social Sciences; 2012; Gideon, L.
- Code of standards and ethics for survey research; 2011
- A classification of question characteristics relevant to measurement (error) and consequently important...; 2011; Campanelli, P., Nicolaas, G., Jaeckle, A., Lynn, P., Hope, S., Blake, M., Gray, M.
- Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys 2011; 2011
- Effects of internet data collection in business surveys – the case of the Dutch SBS; 2011; Giesen, D.
- Ignoring the compatibility of online questionnaires may bias the psychological composition of your sample...; 2011; Funke, F.
- Keeping Up Appearances: Maintaining standards during strategic changes in electronic reporting; 2011; Farrell, E., Hewett, K.
- Engagement, Consistency, Reach – why the Technology Landscape Precludes All Three; 2011; Johnson, A., Rolfe, G.
- The Research-Data-Centre in Research-Data-Centre Approach: A First Step Towards Decentralised International...; 2011; Bender, S., Heining, J.
- The Impact of Non-Response Treatments on the Stability of Blockmodels; 2011; Znidarsic, A., Ferligoj, A., Doreian, P.
- Preface; 2011; Coenders, G., Doreian, P.
- Nonparametric Tests of Panel Conditioning and Attrition Bias in Panel Surveys; 2011; Das, M., Toepoel, V., van Soest, A.
- A Psycholinguistic Look at Survey Question Design and Response Quality; 2011; Lenzner, T.
- Introduction to Usability Testing for Survey Research; 2011; Geisen, E., Jarrett, C.
- Twice random, once mixed: Applying mixed models to simultaneously analyze random effects of language...; 2011; Janssen, D. P.
- Indicators for Monitoring and Improving Representativeness of Response; 2011; Schouten, B., Shlomo, N., Skinner, C.
- Data Collection: Sample Members Responses, Influences, and Perception of Data Security.; 2011; Jeannis, M., Terry, T. L., Thomas-Banks, D.
- Examination of Panel Conditioning Effects in a Web-Based 2007-2008 Election Study.; 2011; Dennis, J. M., Kruse, Y., Tompson, T.
- Mode Differences in a Mixed-Mode ABS Design.; 2011; Bautista, R., Datta, R., Scholfield Hepburn, P., Yan, T.
- Cleaving the Past Behind: A Comparison of Response Formats in the Measurement of Ethnic and Racial Origins...; 2011; Barlas, F. M., Thomas, R. K., Higgins, W. B.
- Visual Design and Usability of Filter and Follow-up Questions in a Web Survey.; 2011; Ramirez, C. M.
- Features of the Z-scoring method in graphical two-dimensional web surveys: the case of ZEF; 2011; Selkälä, A., Ronkainen, S., Alasaarela, E.
- Guidelines for easing parental fears regarding online research; 2011; Goldfarb Liss, P.
- Ethical Considerations in Internet Surveys; 2010; Singer, E., Couper, M. P.
- Weighting Strategy for Understanding Society; 2010; Lynn, P., Kaminska, O.
- Update on the ARF’s Quality Enhancement Process (QeP); 2010; Pettit, R.
- Codebook and explanatory note on the WageIndicator dataset ; 2010; Tijdens, K., van Zijl, S., Hughie-Williams, M., van Klaveren, M., Steinmetz, S.
- Modeling non-sampling errors and participation in Web surveys; 2010; Biffignandi, S.
- Perspectives on Web Survey Development: Views from Programmers, Content Specialists, and Survey Methodologists...; 2010; Downey, K.
- Archiving and Re-using Qualitative and Qualitative Longitudinal Data in Slovenia; 2010; Stebe, J., Hudales, J., Kragelj, B.
