Web Survey Bibliography
Title Are refusing particpants different or what influence do have forced-choice-items on drop-out?
Author Voracek, M., Ponocny, I., Stieger, S.
Year 2002
Access date 10.06.2004
Abstract We investigated in a large-sample online questionnaire study (restricted design; student-server of the University of Vienna; n = 3.702) concerned with jealousy and infidelity in intimate relationships (Buss et al., 1992; Voracek, Stieger, & Gindl, 2001) the following aspects. 1. sociodemographic comparison of participants - non-participants - refusing participants. 2. what influence do have forced-choice-items on data quality. 1. Due to additional information about all potential participants which received a request of participation via email, it were possible to examine sociodemographic differences between the mentioned groups. Regarding sex the result was significant (Chi2 = 14.179, df = 2, p = .001; participants: more females, non-participants: more females, refusing participants: more males) between the subgroups. A comparison of statistical characteristic values resulted in a small difference between active participants and the remaining two groups (active participants: median age of participants = 24; non-participants: median age of participants = 25; refusing participants: median age of participants = 25). A comparision of tried ignoring one forced-choice-item with the resulting drop-out-rate of this particular item showed for the first item (demographic data) a relation of 17.4% to 3.6%. With the remaining 10 items this held itself in balance (tried ignoring: M = 0.80%; drop-out: M = 1.07%). The sociodemographic comparison showed the fact that it comes with (at least restricted) online studies to validity-threatening differences concerning sex due to self-selection-biases. This threat could not be found for the age. In view to the use of forced-choice-items in online research the fears of increased drop-out could not be acknowledged. To make participants attentive on online questionnaires seems to be the much higher hurdle.
Abstract - optional Wir untersuchten in einer extensiven Online-Fragebogenuntersuchung (restringiertes Design; im Bereich der Universität Wien; n = 3.702) zu geschlechtsspezifischen Aspekten von Eifersucht und Untreue in Paarbeziehungen (Buss et al., 1992; Voracek, Stieger, & Gindl, 2001) folgende Aspekte nämlich 1. soziodemographischer Vergleich von Teilnehmern - Nichtteilnehmern -Verweigerern bzw. 2. welchen Einfluss forced-choice Items auf die Datenqualität haben. 1. Auf Grund zusätzlicher Informationen über alle potentiellen Versuchsteilnehmer welche eine Teilnahmeaufforderung via Email erhalten haben war es möglich soziodemographische Vergleiche zwischen den Gruppen zu untersuchen. Bezüglich des Geschlechts ergab sich ein signifikantes Ergebnis (Chi2 = 14.179, df = 2, p = .001; Teilnehmer: mehr Frauen; Nichtteilnehmer: mehr Frauen, Verweigerer: mehr Männer) zwischen den Subgruppen. Ein Vergleich statistischer Kennwerte ergab einen kleinen Unterschied zwischen den aktiven Teilnehmern und den verbleibenden beiden Gruppen (aktive Teilnehmer: Altersmedian = 24; Nichtteilnehmer: Altersmedian = 25; Verweigerer: Altersmedian = 25). 2. Eine Gegenüberstellung des versuchten Übergehens eines forced-choice-items mit dem daraus resultierenden Drop-Outs bei diesem Item ergab für die erste Frage (Demographische Daten) ein Verhältnis 17.4% : 3.6% wobei sich bereits bei den restlichen zehn Items das versuchte Übergehen dem Drop-Out die Waage hielt (versuchtes Übergehen: M = 0.80%; Drop-Out: M = 1.07%). Der soziodemographische Vergleich hat gezeigt, dass es bei (zumindest restringierten) Online-Studien auf Grund der Selbstselektion es zu validitätsbedrohenden Unterschieden bezüglich Geschlecht kommt. Diese Bedrohung konnte für das Alter nicht gefunden werden. In Hinblick auf die Verwendung von forced-choice Items in der Online-Forschung konnten die Befürchtungen des erhöhten Drop-Outs nicht bestätigt werden. Versuchsteilnehmer auf den Online-Fragebogen aufmerksam zu machen scheint hierbei die viel höhere Hürde zu sein.
Access/Direct link Homepage - conference (abstract)
Year of publication2002
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography - Other (439)
- 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.
- 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.
- Fieldwork monitoring and managing with time-related paradata; 2017; Vandenplas, C.
- 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.
- Nonresponses as context-sensitive response behaviour of participants in online-surveys and their relevance...; 2017; Wetzlehuetter, D.
- Humanizing Cues in Internet Surveys: Investigating Respondent Cognitive Processes; 2017; Jablonski, W.; Grzeszkiewicz-Radulska, K.; Krzewinska, A.
- Pushing to web in the ISSP; 2017; Jonsdottir, G. A.; Dofradottir, A. G.; Einarsson, H. B.
- 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.
- Oversampling as a methodological strategy for the study of self-reported health among lesbian, gay and...; 2017; Anderssen, N.; Malterud, K.
- Utjecaj vizualne orientacije skale za odgovaranje i broja stranica web-upitnika na rezultate ispitivanja...; 2017; Malikovic, M.; Svegar, D.; Somodzi, S.
- How to Design a Web Survey Using Spring Boot With MYSQL: a Romanien Network Case Study; 2017; Bucea-Manea-Tonis, Ro.; Bucea-Manea-Tonis, Ra.
- Analyzing Survey Characteristics, Participation, and Evaluation Across 186 Surveys in an Online Opt-...; 2017; Revilla, M.
- Comparative analysis of a mobile device and paper as effective survey tools; 2017; Kim, K. J.; Bae, S.; Park, E.
- Enhancing survey participation: Facebook advertisements for recruitment in educational research; 2017; Forgasz, H.; Tan, H.; Leder, G.; McLeod, A.
- Virtual reality meets sensory research; 2017; Depoortere, L.
- PC, phone or tablet? Use, preference and completion rates for web surveys ; 2017; Brosnan, K.; Gruen, B.; Dolnicar, S.
- “Better do not touch” and other superstitions concerning melanoma: the cross-sectional web...; 2016; Gajda, M.; Kamiñska-Winciorek, G.; Wydmañski, J.; Tukiendorf, A.
- Making use of Internet interactivity to propose a dynamic presentation of web questionnaires; 2016; Revilla, M.; Ochoa, C.; Turbina, A.
- A streamlined approach to online linguistic surveys; 2016; Erlewine, M. Y.; Kotek, H.
- Du kommst hier nicht rein: Türsteherfragen identifizieren nachlässige Teilnehmer in Online-Umfragen; 2016; Merkle, B.; Kaczmirek, L.; Hellwig, O.
- Smartphones vs PCs: Does the Device Affect the Web Survey Experience and the Measurement Error for...; 2016; Toninelli, D.; Revilla, M.
- Estimation and Adjustment of Self-Selection Bias in Volunteer Panel Web Surveys ; 2016; Niu, Ch.
- Sensitive Questions in Online Surveys: An Experimental Evaluation of Different Implementations of the...; 2016; Hoglinger, M.; Jann, B.; Diekmann, A.
- Design and test of a web-survey for collecting observer’s ratings on dairy goats’ behavioural...; 2016; Vieira, A.; Oliveira, M. D.; Nunes, T.; Stilwell, G.
- Can Student Populations in Developing Countries Be Reached by Online Surveys? The Case of the National...; 2016; Langer, A., Meuleman, B., Oshodi, A.-G. T., Schroyens, M.
- Feature phones no barrier to conducting an effective conjoint study ; 2016; de Rooij, R.; Dossin, R.
- Patient preference: a comparison of electronic patient-completed questionnaires with paper among cancer...; 2016; Martin, P.; Brown, M.C.; Espin‐Garcia, O.; Cuffe, S.; Pringle, D.; Mahler, M.; Villeneuve, J.;...
- Does the Use of Smartphones to Participate in Web Surveys Affect the Survey Experience when Sensitive...; 2016; Toninelli, D.; Revilla, M.
- Device use in web surveys: The effect of differential incentives; 2016; Mavletova, A. M.; Couper, M. P.
- Device Effects - How different screen sizes affect answers in online surveys; 2016; Fisher, B.; Bernet, F.
- Do Initial Respondents Differ From Callback Respondents? Lessons From a Mobile CATI Survey; 2016; Vicente, P.; Marques, C.
- The use of online social networks as a promotional tool for self-administered internet surveys; 2016; de Rada, V. D.; Arino, L. V. C; Blasco, M. G
- Assessing the Effects and Effectiveness of Attention-check Questions in Web Surveys: Evidence From a...; 2016; Vannette, D.
- Mode Effects on Subjective Well-being Research: Do they Affect Regression Coefficients? ; 2016; Sanchez Tome, R.; Roberts, C.; Staehli, M. E.; Joye, D.
- Evaluating a Modular Design Approach to Collecting Survey Data Using Text Messages ; 2016; West, B. T.; Ghimire, D.; Axinn, W.
- Reaching the Mobile Generation: Reducing Web Survey Non-response through SMS Reminders ; 2016; Kanitkar, K. N.; Marlar, J.
- Safety First: Ensuring the Anonymity and Privacy of Iranian Panellists’ While Creating Iran&#...; 2016; Farmanesh, A.; Mohseni, E.
- Non-Observation Bias in an Address-Register-Based CATI/CAPI Mixed Mode Survey; 2016; Lipps, O.
- Web surveys for offline rural communities ; 2016; Gichohi, B. W.
- On-line life history calendar and sensitive topics: A pilot study; 2016; Morselli, D.; Berchtold, A.; Granell, J.-C. S.; Berchtold, And.
- An experiment comparing grids and item-by-item formats in web surveys completed through PCs and smartphones...; 2016; Revilla, M.; Toninelli, D.; Ochoa, C.
- Improving Inpatient Surveys: Web-Based Computer Adaptive Testing Accessed via Mobile Phone QR Codes; 2016; Chien, T. S.; Lin, W.S.
- Pre-Survey Text Messages (SMS) Improve Participation Rate in an Australian Mobile Telephone Survey:...; 2016; Dal Grande, E.; Chittleborough, C. R.; Campostrini, S.; Dollard, M.; Taylor, A. W.
- Short and Sweet? Length and Informative Content of Open-Ended Responses Using SMS as a Research Mode; 2016; Walsh, E.; Brinker, J. K.
- Mixing modes of data collection in Swiss social surveys: Methodological report of the LIVES-FORS mixed...; 2016; Roberts, C.; Joye, D.; Staehli, M. E.
- What is the gain in a probability-based online panel to provide Internet access to sampling units that...; 2016; Revilla, M.; Cornilleau, A.; Cousteaux, A-S.; Legleye, S; de Pedraza, P.