Web Survey Bibliography
Non-response is only one of a few things that can go wrong in a survey. There are many more areas of data collection and data processing that can introduce errors and thus affect the quality of results. The definitive result of all survey errors is a discrepancy between the survey estimate and the population characteristic to be estimated. This discrepancy is called the total survey error. Essentially two main categories can be pointed out contributing to this total error: sampling and nonsampling errors. Sampling errors are due to the sampling design. They are introduced when estimates are based on a sample and not on a total enumeration of the population. Such errors can in theory be avoided by a complete enumeration of the population. However, only a part of the population is used for estimating population characteristics. Nonsampling errors may occur even if the whole population is investigated. They denote errors made during the process of obtaining answers to questions asked. Nonsampling errors can arise from both observation and nonobservation errors. Non-observation errors are errors made when the intended measurements are not obtained. Undercoverage occurs when elements of the target population do not have a corresponding entry in the sampling frame. These population members cannot even be contacted. A type of non-observation error is non-response. This type of situation occurs when the sampled person does not provide the required information.
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Web survey bibliography - Other (439)
- Identifying the Research Information Needs of the Racing and Breeding Industries in New Zealand: Results...; 2013; Bolwell, C., Gray, Da., Reid, Ja.
- Reducing Mortality in Acute Kidney Injury Patients: Systematic Review and International Web-Based Survey...; 2013; Landoni, G., Bove, T., Székely, A., Comis, M., Rodseth, R. N., Pasero, D., Ponschab, M., Mucchetti,...
- Analysis of Urban Public Tran sit Information Requirements in China by Web-based Survey ; 2013; Hou, X., Chen, X.
- Relative Mode Effects on Data Quality in Mixed-Mode Surveys by an Instrumental Variable; 2013; Vannieuwenhuyze, J. T. A., Revilla, M.
- Is the Sky Falling? New Technology, Changing Media, and the Future of Surveys; 2013; Couper, M. P.
- MOTUS: Modular online Time-Use Survey; 2013; Joeri, M., Ignace, G., van Tienoven, T. P., Djiwo, W.
- Factors affecting the decision to participate in the internet option for the 2010 Census of Korea ; 2013; Lee, Eu., Kim, Su.
- Use of mobile devices to answer online surveys: implications for research; 2013; Cunningham, J. A., Neighbors, C., Bertholet, N., Hendershot, C. S.
- Permission email messages significantly increase gambler retention; 2013; Jolley, W., Lee, A., Mizerski, R., Sadeque, S.
- The impact of website content dimension and e-trust on e-marketing effectiveness: The case of Iranian...; 2013; Rahimnia, F., Farzaneh Hassanzadeh, J.
- An imputation approach for analyzing mixed-mode surveys; 2013; Kim, J. K., Park, Se., Kim, S. Y.
- Comparability of substantive results between modes and incentive conditions in a probability-based telephone...; 2013; Pekari, N.
- Trends in Dutch egalitarian attitudes, 1975-2010: An age-period-cohort analysis; 2013; Meuleman, B., Oorschot, W. V.
- Comparing Questionnaire Pretesting Methods for the 2015 Population and Housing Census of Korea; 2013; Park, Y.
- Mixed Methods in Cognitive Interviewing: An analysis of the Russian version of the Schwartz Value Survey...; 2013; Efremova, M., Panyusheva, T.
- A mixed methods approach to investigate how Cognitive Interviewing findings can improve the validity...; 2013; Padilla, J. L., Miller, K., Loeb, M.
- Error Prevention through Interviewer Emulation? Introducing questionnaire dialogues in the Norwegian...; 2013; Gravem, D. F.
- Advancing the field of questionnaire translation - identifying problems, discussing methods, pushing...; 2013; Behr, D., Dorer, B., Van Houten, G
- The Impact of Culture and Economy on Values and Attitudes; 2013; Duelmer, H., Voicu, M.
- Educational attainment in cross-national surveys: instrument design, data collection, harmonisation...; 2013; Schneider, S.
- Mode Effects in Mixed-Mode Surveys: Prevention, Diagnostics, and Adjustment 1; 2013; de Leeuw, E. D., Dillman, D. A., Schouten, B.
- History of Technology in Research; 2013; Sahu, C.
- The Online Statistical Survey As An Alternative To Traditional Methods; 2013; Dinu, S., Nitoiu, M., Pomazan, C.
- Improved Dialogue Features in Web Surveys?; 2013; Lund, K.
- Reducing Response Burden for Enterprises Combining Methods for Data Collection on the Internet; 2013; Vik, T.
- Data Quality in PC and Mobile Web Surveys; 2013; Mavletova, A. M.
- PDAs in socio-economic surveys: instrument bias, surveyor bias or both?; 2013; Escobal, J., Benites, S.
- Virtual research assistants: Replacing human interviewers by automated avatars in virtual worlds; 2013; Hasler, B. S., Tuchman, P., Friedman, D.
- Internet-Based Recruitment to a Depression Prevention Intervention: Lessons From the Mood Memos Study...; 2013; Morgan, A. J., Jorm, A. F., Mackinnon, A. J.
- Comparison of web-based versus paper-and-pencil administration of a humor survey; 2013; Wang, C.-C., Cheng, C.-L., Cheng, Y.-Y., Liu, K.-S.
- Large-Scale Analysis and Testing; 2013; Cao, M., Zhang, Q.
- Askito: An open source Web questionnaire tool; 2013; Reips, U.-D., Heilmann, T.
- Measurement invariance and quality of composite scores in a face-to-face and a web survey; 2013; Revilla, M.
- A Comparison of the Quality of Questions in a Face-to-face and a Web Survey; 2013; Revilla, M., Saris, W. E.
- A comparison of data quality and practicality of online versus postal questionnaires in a sample of...; 2013; King, M. T., Butow, P., Olver, I., Smith, A. B.
- Likert Scales vs. Slider Scales in commercial market research; 2012; Dobronte, A.
- Clustering of Categorical Data by Assigning Rank through Statistical Approach; 2012; Patnaik, S. K., Sahoo, S., Swain, D. K.
- Evidence-Based Treatment Methods for the Management of Shoulder Impingement Syndrome Among Dutch-Speaking...; 2012; Struyf, F., Nijs, J., Gulinck, J., De Hertogh, W.
- Sensitive topics in PC Web and mobile web surveys: Is there a difference? (presentation); 2012; Mavletova, A. M., Couper, M. P.
- Evaluation procedures for Survey questions; 2012; Saris, W. E.
- The association between online gaming, social phobia, and depression: an internet survey; 2012; Chen, M.-H., Huang, P.-C., Bai, Y.-M., Wei, H.-T.
- P02.04. Internet survey confirms strong interest in Yoga among fibromyalgia patients; 2012; Carson, J., Bennett, R., Jones, K., Mist, S.
- (Online) Access Panels: Types and Quality Standards; 2012; Bosnjak, M.
- The efficiency and effectiveness of mixed mode versus single mode designs; 2012; Blunsdon, B.
- ISO 20252. Market, opinion and social research-Vocabulary and service requirements, 2nd Edition; 2012
- Internet use in households and by individual in 2012. Eurostat Statistics in Focus 50/2012; 2012; Seybert, H.
- Eurobarometer Special surveys: Special Eurobarometer 381; 2012
- The Impact of Academic Sponsorship on Online Survey Dropout Rates; 2012; Allen, P. J., Roberts, L. D.
- Social media as a data collection tool: the impact of Facebook in behavioural research; 2012; Zoppos, E.
- Mode and non-response effects and their treatment; 2012; Chrysanthopoulos, S., Georgostathi, A.