Web Survey Bibliography
Title Design and test of a web-survey for collecting observer’s ratings on dairy goats’ behavioural data
Author Vieira, A.; Oliveira, M. D.; Nunes, T.; Stilwell, G.
Source Applied Animal Behaviour, 158, pp. 52-58
Year 2016
Database Web of Science
Access date 29.03.2017
Abstract
A considerable amount of behavioural research studies are based on observer’s ratings collected during field visits. New methods for collecting this type of data have recently emerged, for instance using videos or photographs that are presented and assessed during workshops or meetings, or through electronic data devices. In this article we present and discuss the use of web-surveys as an alternative method for data collection, using as an example a case-study aiming at developing a goat lameness scoring system. We detail how the web-survey for collecting ratings on dairy goats’ behavioural data in videos was developed and applied from a researcher viewpoint, so that others can replicate and benefit from our experience. In comparison with other methods reported in the literature, we were able to reach a high and more diverse number of respondents through the implementation of a simple logistic setting and innovative technology-based design, and without disturbance of animals’ routine. We believe that this study provides valuable information at two levels. First it contributes to the establishment of web-surveys in animal behaviour and welfare research, and it provides relevant information for researchers and practitioners that need to collect and analyse observeąs ratings through new formats. Second, the data collected allowed us to get an insight of potential difficulties an observer can experience while analysing lameness, particularly when faced with the challenge of assessing simultaneously more than one lameness sign. This information is particularly important for researchers developing new lameness scoring systems. Additionally, the web-survey proved to be appropriate for analysing the impact of background and experience on lameness ratings, showing particularly how occupation and education can influence observers’ proficiency in assessing dairy goats’ behavioural data. Finally, we discuss how answers to the web-survey can potentiate investigation and open new research lines, including: assessing intra-observer and inter-observer reliability; and, in the specific case of our web-survey, generating information for building and validating a new lameness scoring system. We finish by reflecting on some potential weaknesses of the web-survey.
Access/Direct link Journal Homepage (abstract) / (full text)
Year of publication2016
Bibliographic typeJournal article
Web survey bibliography (4086)
- Question order sensitivity of subjective well-being measures: focus on life satisfaction, self-rated...; 2016; Lee, S.; McClain, C.; Webster, N.; Han, S.
- Are Final Comments in Web Survey Panels Associated with Next-Wave Attrition?; 2016; McLauchlan, C.; Schonlau, M.
- Estimation and Adjustment of Self-Selection Bias in Volunteer Panel Web Surveys ; 2016; Niu, Ch.
- Facebook, Twitter, & Qr codes: An exploratory trial examining the feasibility of social media mechanisms...; 2016; Gu, L. L.; Skierkowski, D.; Florin, P.; Friend, K.; Ye, Y.
- 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.
- Anįlisis de herramientas gratuitas para el diseño de cuestionarios on-line; 2016; Montoya, L. S.; Farran, C. X.; Catala, C. M.
- Participation in an Intensive Longitudinal Study with Weekly Web Surveys Over 2.5 Years; 2016; Barber, J. S.; Kusunoki, Y.; Gatny, H. H.; Schulz, P.
- Helping respondents provide good answers in Web surveys; 2016; Couper, M. P.; Zhang, C.
- Geht’s auch mit der Maus? – Eine Methodenstudie zu Online-Befragungen in der Jugendforschung...; 2016; Heim, R.; Konowalczyk, S.; Grgic, M.; Seyda, M.; Burrmann, U.; Rauschenbach, T.
- Shorter Interviews, Longer Surveys: Optimising the survey participant experience whilst accommodating...; 2016; Halder, A.; Bansal, H. S.; Knowles, R.; Eldridge, J.; Murray, Mi.
- Gamifying. Not all fun and games; 2016; Stubington, P.; Crichton, C.
- Are interviews costing £0.08 a waste of money? Reviewing Google Surveys for Wisdom of the Crowd...; 2016; Roughton, G.; MacKay, I.
- Observations from Twelve Years of an Annual Market Research Technology Survey; 2016; Macer, T.; Wilson, S.
- FocusVision 2015 Annual MR Technology Report; 2016; Macer, T., Wilson, S.
- Last Year Your Answer Was … The Impact of Dependent Interviewing Wording and Survey Factors on...; 2016; Al Baghal, T.
- The Effects of a Delayed Incentive on Response Rates, Response Mode, Data Quality, and Sample Bias in...; 2016; McGonagle, K., Freedman, V. A.
- 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.
- The Effects of Vignette Placement on Attitudes Toward Supporting Family Members; 2016; Lau, C. Q., Seltzer, J. A., Bianchi, S. M.
- Comparisons of Online Recruitment Strategies for Convenience Samples: Craigslist, Google AdWords, Facebook...; 2016; Antoun, C., Zhang, C., Conrad, F. G., Schober, M. F.
- Comparing Cognitive Interviewing and Online Probing: Do They Find Similar Results?; 2016; Meitinger, K., Behr, D.
- A new model for concept evaluation; 2016; Allen, D. R.
- Feature phones no barrier to conducting an effective conjoint study ; 2016; de Rooij, R.; Dossin, R.
- A look at the unique data-gathering process behind the Harvard Impact Study; 2016; Vitale, J.
- Are sliders too slick for surveys?; 2016; Buskirk, T. D.
- Research gamification for quality pharmaceutical stakeholder insights; 2016; Mondry, B.; Fink, L.
- The impact of survey duration on completion rates among Millennial respondents ; 2016; Coates, D.; Bliss, M.; Vivar, X.
- SurveyTester from Knowledge Navigators ; 2016; Macer, T.
- Marrying passive and custom data for effective mobile targeting; 2016; King, K.; Stevens, N.
- Simplifying your mobile solution; 2016; Berry, K.
- How to maximize survey response rates ; 2016; DeVall, R.; Colby, C.
- Participation rates of childhood cancer survivors to self-administered questionnaires: a systematic...; 2016; Kilsdonk, E.; Wendel, E.; van Dulmen-den Broeder, E.; van Leeuwen, F.E.; Van Den Berg, M. H.; Jaspers...
- Google's MIDAS Touch: Predicting UK Unemployment with Internet Search Data; 2016; Smith, Pau.
- 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.;...
- Mixed Mode Research: Issues in Design and Analysis; 2016; Hox, J.; De Leeuw, E. D.; Klausch, L. T.
- 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.
- Effects of motivating question types with graphical support in multi channel design studies; 2016; Luetters, H.; Friedrich-Freksa, M.; Vitt, SGoldstein, D. G.
- Analyzing Cognitive Burden of Survey Questions with Paradata: A Web Survey Experiment; 2016; Hoehne, J. K.; Schlosser, S.; Krebs, D.
- Why Do Web Surveys Take Longer on Smartphones?; 2016; Couper, M. P.; J. J.Peterson, G. J.
- Do Initial Respondents Differ From Callback Respondents? Lessons From a Mobile CATI Survey; 2016; Vicente, P.; Marques, C.
- Secondary Respondent Consent in the German Family Panel; 2016; Schmiedeberg, C.; Castiglioni, L.; Schroeder, J.
- Online Focus Group Discussion is a Valid and Feasible Mode When Investigating Sensitive Topics Among...; 2016; Wettergren, L.; Eriksson, L. E.; Nilsson, J.; Jarvaeus, A.; Lampic, C.
- A look into the challenges of mixed-mode surveys; 2016; Klausch, L. T.
- 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
- Optimizing Self-response for the 2020 Census ; 2016; Bentley, M.
- Improving Data Quality in a Web Survey of Youth and Teens ; 2016; Horton, V. M.; Branson, R.; Phillips, B. T.; Fowlkes, E.
- Impact of Field Period Length and Contact Attempts on Representativeness for Web Survey ; 2016; Bertoni, N.; Turakhia, C.; Magaw, R.; Ackermann, A.
- Have You Taken Your Survey Yet? Optimum Interval for Reminders in Web Panel Surveys ; 2016; Kanitkar, K. N.; Liu, D.