Web Survey Bibliography
Purpose – The purpose of this article is to determine the uses of mixed method research designs published in major marketing journals.
Design/methodology/approach – This study involved a content analysis of 2,166 articles published between 2003 and 2009 in nine prominent marketing journals.
Findings – A total of 34 mixed method studies implemented data-collection procedures sequentially (79 percent), eight implemented them concurrently (19 percent) and one combined both sequential and concurrent procedures (2 percent). On the whole, priority was skewed more toward quantitative strands, with 27 articles prioritizing quantitative data (63 percent), three articles prioritizing qualitative data (7 percent), and 13 articles prioritizing both equally (30 percent).
Research limitations/implications – It is clear that marketing scholars recognize the benefit of mixing qualitative and quantitative research; however, as a discipline we are not demonstrating knowledge of the mixed method literature or procedures, as only one article recognized or mentioned knowledge of mixed method procedures or cited mixed method research.
Practical implications – This study provides guidance for researchers in identifying design types appropriate for various rationales or research objectives and models of different design types that have been published in marketing journals. In addition, implications for designing mixed methods studies in marketing include highlighting the need for scholars to specifically address issues such as the timing and priority given to each data type (i.e. sequential or concurrent), and the integration (or mixing) of the both data types.
Originality/value – Until now, the role of mixed methods designs in marketing has not been the subject of formal examination. The delineation of the major forms in mixed method designs provides a framework for looking at such design types, which helps to provide more credibility to the field of marketing by providing examples of research designs that are substantially different than single strand studies.
Journal Homepage (abstract) / (full text)
Web Survey Bibliography - Research on Internet (644)
- Online Fundraising Essentials, Second Edition; 2013; Stevenson, S. C.
- Tips for Evaluating Online Effectiveness; 2013; Stevenson, S. C.
- Worldwide online research spending; 2012
- 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.
- Selection bias of internet panel surveys: A comparison with a paper-based survey and national governmental...; 2012; Tsuboi, S. et al.
- Research company spotlight - Mobile surveys; 2012
- Redeveloping the research section of Meningitis UK's website — A case study report; 2012; Witt, J. et al.
- 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.