Web Survey Bibliography
Title ReCal: Intercoder Reliability Calculation as a Web Service
Author Freelon, D. G.
Source International Journal of Internet Science, 5, 1, pp. 20-33
Year 2010
Access date 03.12.2011
Abstract
Despite the fact that intercoder reliability is an indispensable validity criterion for studies that employ content analysis, currently available options for calculating it are sharply limited both in terms of the number of coefficients they offer and the range of operating systems they support. This paper introduces ReCal, an online intercoder reliability Web service that addresses both of these limitations by offering multiple coefficients for nominal-level data and by functioning through any Web browser regardless of OS. After describing the program's functions, its accuracy is demonstrated through a set of worked examples and a systematic comparison of its results to those of alternative reliability calculators. Finally, ReCal's usage statistics are briefly presented.
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Year of publication2010
Bibliographic typeJournal article
Web Survey Bibliography - Research on Internet (638)
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- Tips for Evaluating Online Effectiveness; 2013; Stevenson, S. C.
- The rise of the "connected viewer"; 2012; Smith, A., Boyles, J. L.
- The integration of facebook into class management: an exploratory study; 2012; Chou, P. N.
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- Guide to social science data preparation. Best practice throughout the data life cycle; 2012
- Google et Médiamétrie créent une audience bimédia; 2012; Gonzales, P.
- Ebook readings jumps, print book reading declines; 2012; Rainie, L., Duggan, M.
- Better customer in sight in real time; 2012; Macdonald, E., Wilson, H. N., Konus, H.
- Better Answers to Basic Questions: Enhancing the accuracy of online reach and audience metrics; 2012; van Dam, P. H., van Ossenbruggen, R., Voorend, R.
- WebSM Study: Survey software features overview ; 2012; Vehovar, V.; Cehovin, G.; Kavcic, L.; Lenar, J.
- Web Panels; 2012; Bethlehem, J., Biffignandi, S.
- Challenges of assessing the quality of a prerecruited probability-based panel of internet users in...; 2012; Struminskaya, B., Kaczmirek, L.
- Deep Data: Qualitative Approaches to E-Research in the Digital Age; 2012; Salmons, J.
- The use of new technologies on the British Birth Cohort Studies; 2012; Calderwood, L.
- Opportunities and Challenges for the Digital Researcher; 2012; Blank, G., Morey, Y.
- Reliable Online Social Network Data Collection; 2012; Abdesslem, F. B., Parris, I., Henderson, T.
- Little experience with technology as a cause of nonresponse in online surveys; 2012; Struminskaya, B., Schaurer, I., Kaczmirek, L., Bandilla, W.
- The Impact of Mobilization Media on Off-Line and Online Participation: Are Mobilization Effects Medium...; 2012; Vissers, S., Hooghe, M., Stolle, D., Maheo, V.-A.
- Succinct Survey Measures of Web-Use Skills; 2012; Hargittai, E., Hsieh, Y. P.
- Where gamification came from and why it could be here to stay; 2012; Ewing, T.
- Gamification 101 - from theory to practice - part II ; 2012; Puleston, J.
- The impact of two-stage highly interesting questions on completion rates and data quality in online...; 2012; M, Hansen, J. M; Smith, S. M.
- User models as revealed in web-based research services; 2012; Bodoff, D., Raban, D.
- User agent; 2011
- Unpublisihed internal Google report on break off rates by device type; 2011; Callegaro, M.
- The GfK NOP Media Efficiency Panel; 2011; Moy, C. et al.
- Online survey research: Findings, Best practices, and future research; 2011
- GRE® program announces big benefits and big savings for GRE® test takers worldwide; 2011
- Google and Kantar develop measurement panel; 2011
- Going online with assessment; 2011; Burke, E. et al.
- Exploring the digital nation. Computer and Internet use at home; 2011
- Ethical issues in Internet research; 2011; Hoerger, M., Currell, C.
- ESOMAR AND CASRO submission to the W3C tracking protection working group - Market research techniques...; 2011
- A Methodological Inference towards the Quantification of Technological Frames ; 2011; Cachia, E., Camilleri, P.
- The Battle For Business Data: New Technologies Critical To Researchers' Arsenal; 2011; Anderson, J.
- A Comparison of Internet-Based Participant Recruitment Methods: Engaging the Hidden Population of Cannabis...; 2011; Temple, E. C., Brown, R. F.
- The Perils of Online Surveys; 2011; McCullough, P. R.
- Mixed methods designs in marketing research; 2011; Harrison, R. L., Reilly, T. M.
- Development and Validation of a Web-Based Questionnaire for Surveying Skydivers; 2011; Nilsson, J.; Friden, C.; Buren, V.; Ang, B.
- Facebook sampling methods: some methodological proposals; 2011; Macrì, E., Tessitore, C.
- Survey Says? A Primer on Web-Based Survey Design and Distribution; 2011; Oppenheimer, A. J., Pannucci, C. J., Kasten, S. J., Haase, S. C.
- Improving online surveys; 2011; Puleston, J.
- Visiting item non-responses in internet survey data collection; 2011; Albaum, G., Roster, C. A., Smith, S. M., Wiley, J. B.
- Estimating nonresponse bias and mode effects in a mixed-mode survey; 2011; Lugtig, P. J., Lensvelt-Mulders, G. J., Frerichs, R., Greven, A.
- Conceptualizing Trust in Digital Environments: Health-e Skepticism: Trust in the Age of the Internet; 2011; Harris, A., Wyatt, S., Kelly, S.
- The Changing Face of Trust in Health Websites; 2011; Sillence, L., Mo, P., Briggs, P., Harris, P. R.
- Some Researchers Do, Some Researchers Don’t: Reflections on Interdisciplinarity and Digital Social...; 2011; Pangbourne, K., Philip, L., Pignotti, E., Edwards, P.