Web Survey Bibliography
Self-selected samples and the lack of representativity of internet users, on topics other than the internet or computers, remain the prominent problems of standardized online surveys. The inherent coverage bias means that, in many cases, populations cannot be reflected by the internet community, for not everybody has access to the internet and, thus, the chance to respond. Often times, the sampling procedure cannot be carried out in the same manner as for classical data collection, which incurs further problems like sampling bias or self-recruitment. The quantification of the nonresponse bias and other statistical measures of fit is basically impracticable; therefore, judgements on data quality fail or have to be doubted.
The object of this study was a parallel, written and web-based, student evaluation survey. In order to isolate possible biases, a two-stage process was applied: first, a laboratory experiment assessed the measurement error caused by the collection mode. Subsequently, a random sample (n=484; N=985) were surveyed, testing for nonresponse bias. During both stages, respondents were randomly assigned to one of the two modes, both of which using the same questionnaire in terms of its content. As a result, significant differences occurred neither for the answers given nor for the rate of return, but only for the speed of return. As a consequence, this pilot project may be extended into an interconnected study at several nearby universities, gaining further consolidated findings on the comparability of modes and preparing a federal investigation.
Selbstselektierte Stichproben und fehlende Repräsentativität von Internetnutzern bei Erhebungsthemen jenseits von Internet und Computern sind die Hauptprobleme von standardisierten Online-Befragungen. Das medienbedingte Coverage-Problem führt dazu, daß die abzubildenden Grundgesamtheiten für viele Fragestellungen durch die Internetnutzer noch nicht widergespiegelt werden, weil nicht jedes Subjekt Zugang zum Internet und somit keine Möglichkeit zur Teilnahme hat. Stichprobenziehungen sind in der Praxis häufig nicht in gleicher Weise möglich wie bei klassischen Erhebungsformen, was zu weiteren Verzerrungseffekten durch Stichprobenfehler oder Selbstrekrutierung führt. Die Quantifizierung des Nonresponse-Fehlers sowie weiterer inferenzstatistischer Gütekriterien wird dadurch weitestgehend unmöglich, so daß Aussagen über die Datenqualität meist ausbleiben oder zweifelhaft sind.
Untersuchungsgegenstand dieser Studie ist eine parallele schriftliche und web-basierte Studierendenbefragung zum Hochschulranking. Um mögliche Verzerrungseffekte zu isolieren, wird ein zweistufiges Verfahren eingesetzt, wobei im ersten Schritt der methodenbedingte Meßfehler durch ein Laborexperiment bestimmt wird. In der anschließenden Felderhebung zur Ermittlung des Nonresponse-Fehlers wird eine Zufallsstichprobe (n=484; N=985) ausgewählt. In beiden Phasen werden die Probanden zufällig einer der beiden zu vergleichenden Erhebungsmethoden zugewiesen und inhaltlich die gleichen Meßinstrumente (HTML- bzw. Papierfragebogen) eingesetzt. Im Ergebnis traten signifikante Unterschiede zwischen beiden Erhebungsmethoden weder bei den gegebenen Antworten noch bei den Rücklaufquoten auf, sondern nur bei der Rücklaufgeschwindigkeit. In der Folge könnte dieses Pilotprojekt als Verbunduntersuchung auf weitere Fakultäten an den nordrhein-westfälischen Universitäten an Rhein und Ruhr ausgeweitet werden, um die Erkenntnisse über die Vergleichbarkeit zu verdichten und eine bundesweite Ausdehnung vorzubereiten.
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Web survey bibliography (367)
- Displaying Videos in Web Surveys: Implications for Complete Viewing and Survey Responses; 2017; Mendelson, J.; Lee Gibson, J.; Romano Bergstrom, J. C.
- Ideal and maximum length for a web survey; 2017; Revilla, M.; Ochoa, C.
- Handbook of Research Methods in Health Social Sciences; 2017; Liamputtong, P.
- Web Survey Gamification - Increasing Data Quality in Web Surveys by Using Game Design Elements; 2017; Schacht, S.; Keusch, F.; Bergmann, N.; Morana, S.
- Effects of sampling procedure on data quality in a web survey; 2017; Rimac, I.; Ogresta, J.
- Comparability of web and telephone surveys for the measurement of subjective well-being; 2017; Sarracino, F.; Riillo, C. F. A.; Mikucka, M.
- A Meta-Analysis of the Effects of Incentives on Response Rate in Online Survey Studies; 2017; Mohammad Asire, A.
- Interviewer effects on onliner and offliner participation in the German Internet Panel; 2017; Herzing, J. M. E.; Blom, A. G.; Meuleman, B.
- Interviewer Gender and Survey Responses: The Effects of Humanizing Cues Variations; 2017; Jablonski, W.; Krzewinska, A.; Grzeszkiewicz-Radulska, K.
- Comparing the same Questionnaire between five Online Panels: A Study of the Effect of Recruitment Strategy...; 2017; Schnell, R.; Panreck, L.
- Do distractions during web survey completion affect data quality? Findings from a laboratory experiment...; 2017; Wenz, A.
- Predicting Breakoffs in Web Surveys; 2017; Mittereder, F.; West, B. T.
- The 2016 Canadian Census: An Innovative Wave Collection Methodology to Maximize Self-Response and Internet...; 2017; Mathieu, P.
- Push2web or less is more? Experimental evidence from a mixed-mode population survey at the community...; 2017; Neumann, R.; Haeder, M.; Brust, O.; Dittrich, E.; von Hermanni, H.
- In search of best practices; 2017; Kappelhof, J. W. S.; Steijn, S.
- The perils of non-probability sampling; 2017; Bethlehem, J.
- Nonresponse in Organizational Surveying: Attitudinal Distribution Form and Conditional Response Probabilities...; 2017; Kulas, J. T.; Robinson, D. H.; Kellar, D. Z.; Smith, J. A.
- Theory and Practice in Nonprobability Surveys: Parallels between Causal Inference and Survey Inference...; 2017; Mercer, A. W.; Kreuter, F.; Keeter, S.; Stuart, E. A.
- Reducing speeding in web surveys by providing immediate feedback; 2017; Conrad, F.; Tourangeau, R.; Couper, M. P.; Zhang, C.
- A Working Example of How to Use Artificial Intelligence To Automate and Transform Surveys Into Customer...; 2017; Neve, S.
- A Case Study on Evaluating the Relevance of Some Rules for Writing Requirements through an Online Survey...; 2017; Warnier, M.; Condamines, A.
- Estimating the Impact of Measurement Differences Introduced by Efforts to Reach a Balanced Response...; 2017; Kappelhof, J. W. S.; De Leeuw, E. D.
- Targeted letters: Effects on sample composition and item non-response; 2017; Bianchi, A.; Biffignandi, S.
- Analyzing Survey Characteristics, Participation, and Evaluation Across 186 Surveys in an Online Opt-...; 2017; Revilla, M.
- Careless Response and Attrition as Sources of Bias in Online Survey Assessments of Personality Traits...; 2017; Meade, A. W.; Ward, M. K.; Alfred, C. M.; Pappalardo, G.; Stoughton, J. W.
- Do Incentives Increase Response Rates to an Internet Survey of American Evaluation Association Members...; 2017; Wilson, L. N.
- Examining Completion Rates in Web Surveys via Over 25,000 Real-World Surveys; 2017; Liu, M.; Wronski, L.
- Data collection mode differences between national face-to-face and web surveys on gender inequality...; 2017; Liu, M.
- Improving survey response rates: The effect of embedded questions in web survey email Invitations; 2017; Liu, M.; Inchausti, N.
- An experimental comparison of web-push vs. paper-only survey procedures for conducting an in-depth health...; 2017; McMaster, H. S.; LeardMann, C. A.; Speigle, S.; Dillman, D. A.
- Demographic Question Placement: Effect on Item Response Rates and Means of a Veterans Health Administration...; 2017; Teclaw, R.; Price, M.; Osatuke, K.
- Effects of Applying Multimedia and Dialogue Box to Web Survey Design; 2017; Chen, H.
- Role of online survey tools in creating temporally accurate Environmental Product Declarations (EPD)...; 2017; Ganguly, I.; Bowers, T.; Pierobon, F.; Eastin, I.
- A test of sample matching using a pseudo-web sample; 2017; Chatrchi, G., Gambino, J.
- A Partially Successful Attempt to Integrate a Web-Recruited Cohort into an Address-Based Sample; 2017; Kott, P. S., Farrelly, M., Kamyab, K.
- Grundzüge des Datenschutzrechts und aktuelle Datenschutzprobleme in der Markt- und Sozialforschung; 2017; Schweizer, A.
- Data chunking for mobile web: effects on data quality; 2017; Lugtig, P. J.; Toepoel, V.
- Comparing data quality and cost from three modes of on-board transit surveys ; 2017; Agrawal, A. W.; Granger-Bevan, S.; W.; Newmark, G. L.; Nixon, H.
- Finding and Investigating Geographical Data Online; 2017; Martin, D.; Cockings, S.; Leung, S.
- Three Methods for Occupation Coding Based on Statistical Learning; 2017; Geweon, H.; Schonlau, L.; Blohum, M.; Steiner, St.
- Dynamic Question Ordering in Online Surveys; 2016; Early, K.; Mankoff, J.; Fienberg, S. E.
- How to use online surveys to understand human behaviour concerning window opening in terms of building...; 2016; Fabbri, K.
- Impact of satisficing behavior in online surveys on consumer preference and welfare estimates; 2016; Gao, Z.; House, L. A.; Bi, X.
- Targeted Appeals for Participation in Letters to Panel Survey Members; 2016; Lynn, P.
- Can we assess representativeness of cross-national surveys using the education variable?; 2016; Ortmanns, V.; Schneider, S.
- Methodological Aspects of Central Left-Right Scale Placement in a Cross-national Perspective; 2016; Scholz, E.; Zuell, C.
- Fieldwork Effort, Response Rate, and the Distribution of Survey Outcomes: A Multilevel Meta-analysis; 2016; Sturgis, P.; Williams, Jo.; Brunton-Smith, I.; Moore, J.
- Comparison of Face-to-Face and Web Surveys on the Topic of Homosexual Rights; 2016; Liu, M.; Wang, Yic.
- Question order sensitivity of subjective well-being measures: focus on life satisfaction, self-rated...; 2016; Lee, S.; McClain, C.; Webster, N.; Han, S.
- Web-Based Statistical Sampling and Analysis; 2016; Quinn, A.; Larson, K.