Web Survey Bibliography
Title Online Interviews as an Instrument of the Development of Organizations. A Meta-Analysis of Online Surveys at Universities
Author Poetschke, M., Simonson, J.
Year 2005
Access date 22.04.2005
Abstract The number of online interviews grows continually. Within the last few years studies were carried out particularly as single topic interviews. Today, the conception of the permanent implementation of interviews becomes more and more important. Therewith, the capabilities of net supported interviews are emphasized.Conditional on the fast data appropriation, the automated feedback of results, the economical elicitation of opinions or attitudes and the availability of the interview as a communication platform, the online survey becomes a high-quality instrument for the development of organizations.A special challenge consists in motivating the respondents to participate in recurrent interviews which include the same aspects of the work and studies situation.A project at the University of Bremen, called "Studies Barometer", was initialised to analyse the acceptability and capability of online surveys. The interviews in the "Studies Barometer"-Project were addressed to students. Simultaneously, two employee surveys, which completed the picture of the university, also could be carried out.A meta-analysis of all surveys carried out till now should provide information about the conception and implementation of online interviews at organisations. Response rates and proportions of item nonresponse will be consulted for the evaluation of the data quality.Different ways for respondents recruitment were created as one main focus of variation between the studies. Several respondents were invited to participate in a survey by e-mail. In other studies the respondents received a letter which were distributed during the lessons.For the invitation by e-mail an address list was necessary. One of the major intentions of the "Studies barometer"-Project was to test different ways of compiling an e-mail address list at the university.Furthermore the content focus of the surveys were varied. As a result, a well known empirical finding could be replicated. The proximity to the topic and a subjective concernment of the respondents increases the willingness to participate. The more general the topic is, the less students respond to the questionnaire. The results of the empirical analysis should be contributed to the development of a best practice list for repeated online interviews at universities. Specific recommendations for the special context of the universities will be elaborated. Finally, general valid remarks regarding to possibilities for the increase of response rates in online surveys will be presented.
Abstract - optional Die Anwendung von Onlinebefragungen wächst. In den letzten Jahren wurden dabei meist Einzelstudien durchgeführt. Zunehmend gewinnen jedoch Fragen der dauerhaften Implementierung von Befragungen an Bedeutung. Die Vorteile der netzgestützten Befragung kommen hierbei besonders zur Geltung. Die schnelle Datenbereitstellung, die automatisierbare Rückmeldung von Ergebnissen, die kostengünstige Erhebung und die Nutzung der Befragung als eigene Kommunikationsplattform lassen die Onlinebefragung auch zu einem qualitativ hochwertigen Instrument der Organisationsentwicklung werden. Die besondere Herausforderung besteht hierbei darin, die Befragten zur Teilnahme an Befragungen zu inhaltlich wiederkehrenden Themen, die sich auf Aspekte des Arbeits- und Studienlebens beschränken, zu motivieren.Vor diesem Hintergrund wurde an der Universität Bremen im Rahmen des Pilotprojekts Studienbarometer der Frage nach der Akzeptanz und dem Potential von Onlinebefragungen nachgegangen. Im Mittelpunkt des Pilotprojektes standen Befragungen Studierender. Parallel dazu konnten jedoch auch zwei Mitarbeiterbefragungen realisiert werden, die das Bild über die Universität vervollständigen.Eine Meta-Analyse der bisher durchgeführten Studien soll Erkenntnisse darüber liefern, wie organisationsinterne Onlinebefragungen durchgeführt werden können. Als Maße für die Güte der erhobenen Daten werden spezifische Rücklaufquoten und Anteile von Item Nonresponse untersucht. Ein Schwerpunkt der Variation in den Einflussfaktoren lag auf unterschiedlichen Rekrutierungswegen der potentiell Befragten. In einigen Studien wurden die Befragten per E-Mail eingeladen, in anderen über einen Brief, der während der Lehrveranstaltungen verteilt werden konnte. Für die Einladung per E-Mail war die Bereitstellung von Adresslisten notwendig. Mögliche Wege für den Aufbau dieser Listen zu testen, war eines der zentralen Anliegen des Studienbarometerprojektes.Darüber hinaus wurde der thematische Schwerpunkt variiert. Hierbei konnte ein bereits empirisch gesichertes Ergebnis repliziert werden. Die Nähe und die subjektive Betroffenheit der Befragten erhöht die Teilnahmebereitschaft. Je allgemeiner das Thema ist, umso weniger Studierende antworteten auf den Fragebogen. Mit der Analyse wird eine Beitrag zur Entwicklung einer Best Practice List für wiederholte Onlinebefragungen an Universitäten geleistet. Es werden gleichermaßen spezifische Empfehlungen für den besonderen Kontext der Universitäten erarbeitet, wie allgemeiner gültige Anmerkungen zu Möglichkeiten der Erhöhung des Rücklaufes in Onlinebefragungen.
Access/Direct link Homepage - conference (abstract)
Year of publication2005
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography (4086)
- Displaying Videos in Web Surveys: Implications for Complete Viewing and Survey Responses; 2017; Mendelson, J.; Lee Gibson, J.; Romano Bergstrom, J. C.
- Using experts’ consensus (the Delphi method) to evaluate weighting techniques in web surveys not...; 2017; Toepoel, V.; Emerson, H.
- Mind the Mode: Differences in Paper vs. Web-Based Survey Modes Among Women With Cancer; 2017; Hagan, T. L.; Belcher, S. M.; Donovan, H. S.
- Answering Without Reading: IMCs and Strong Satisficing in Online Surveys; 2017; Anduiza, E.; Galais, C.
- Ideal and maximum length for a web survey; 2017; Revilla, M.; Ochoa, C.
- Social desirability bias in self-reported well-being measures: evidence from an online survey; 2017; Caputo, A.
- Web-Based Survey Methodology; 2017; Wright, K. B.
- Handbook of Research Methods in Health Social Sciences; 2017; Liamputtong, P.
- Lessons from recruitment to an internet based survey for Degenerative Cervical Myelopathy: merits of...; 2017; Davies, B.; Kotter, M. R.
- 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.
- Achieving Strong Privacy in Online Survey; 2017; Zhou, Yo.; Zhou, Yi.; Chen, S.; Wu, S. S.
- A Meta-Analysis of the Effects of Incentives on Response Rate in Online Survey Studies; 2017; Mohammad Asire, A.
- Telephone versus Online Survey Modes for Election Studies: Comparing Canadian Public Opinion and Vote...; 2017; Breton, C.; Cutler, F.; Lachance, S.; Mierke-Zatwarnicki, A.
- Examining Factors Impacting Online Survey Response Ratesin Educational Research: Perceptions of Graduate...; 2017; Saleh, A.; Bista, K.
- Usability Testing for Survey Research; 2017; Geisen, E.; Romano Bergstrom, J. C.
- Paradata as an aide to questionnaire design: Improving quality and reducing burden; 2017; Timm, E.; Stewart, J.; Sidney, I.
- Fieldwork monitoring and managing with time-related paradata; 2017; Vandenplas, C.
- 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.
- Millennials and emojis in Spain and Mexico.; 2017; Bosch Jover, O.; Revilla, M.
- Where, When, How and with What Do Panel Interviews Take Place and Is the Quality of Answers Affected...; 2017; Niebruegge, S.
- Comparing the same Questionnaire between five Online Panels: A Study of the Effect of Recruitment Strategy...; 2017; Schnell, R.; Panreck, L.
- Nonresponses as context-sensitive response behaviour of participants in online-surveys and their relevance...; 2017; Wetzlehuetter, D.
- 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.
- Measuring Subjective Health and Life Satisfaction with U.S. Hispanics; 2017; Lee, S.; Davis, R.
- Humanizing Cues in Internet Surveys: Investigating Respondent Cognitive Processes; 2017; Jablonski, W.; Grzeszkiewicz-Radulska, K.; Krzewinska, A.
- A Comparison of Emerging Pretesting Methods for Evaluating “Modern” Surveys; 2017; Geisen, E., Murphy, J.
- The Effect of Respondent Commitment on Response Quality in Two Online Surveys; 2017; Cibelli Hibben, K.
- Pushing to web in the ISSP; 2017; Jonsdottir, G. A.; Dofradottir, A. G.; Einarsson, H. B.
- 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.
- Redirected Inbound Call Sampling (RICS); A New Methodology ; 2017; Krotki, K.; Bobashev, G.; Levine, B.; Richards, S.
- An Empirical Process for Using Non-probability Survey for Inference; 2017; Tortora, R.; Iachan, R.
- The perils of non-probability sampling; 2017; Bethlehem, J.
- A Comparison of Two Nonprobability Samples with Probability Samples; 2017; Zack, E. S.; Kennedy, J. M.
- Rates, Delays, and Completeness of General Practitioners’ Responses to a Postal Versus Web-Based...; 2017; Sebo, P.; Maisonneuve, H.; Cerutti, B.; Pascal Fournier, J.; Haller, D. M.
- Necessary but Insufficient: Why Measurement Invariance Tests Need Online Probing as a Complementary...; 2017; Meitinger, K.
- 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.
- Is There a Future for Surveys; 2017; Miller, P. V.
- Reducing speeding in web surveys by providing immediate feedback; 2017; Conrad, F.; Tourangeau, R.; Couper, M. P.; Zhang, C.
- Social Desirability and Undesirability Effects on Survey Response latencies; 2017; Andersen, H.; Mayerl, J.
- 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.