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.
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Web survey bibliography - Marketing/business (336)
- Improving the quality of complex surveys: The case of the EU Labour Force Survey ; 2012; van der Valk, J.
- Multi-Language Multi-Continent B2B Community Panel: How B2B research can effectively span the world; 2012; Morden, M., Accomando, E.
- Can Survey Gaming Techniques Cross Continents? Examining cross cultural reactions to creative questioning...; 2012; Puleston, J.
- Research Goes Mobile: Findings from initial smartphone application research; 2012; Dubreuil, C., Joubert, S.
- Probabilistic survey questions and incorrect answers: Retirement income replacement rates; 2012; van Santen, P., Alessie, R., Kalwij, A.
- Mobile Survey Participation Rates in Commercial Market Research: A Meta-Analysis; 2012; Bosnjak, M., Poggio, T., Becker, K. R., Funke, F., Wachenfeld, A., Fischer, B.
- “What a waste of time!” vs “Why not participate?” On sentiments by business...; 2012; Torres van Grinsven, V., Snijkers, G., Daas, P.
- A beginner's guide to DIY research ; 2012; Cates, T.
- The Reliability and Validity of Alternative Customer Satisfaction Measurement Scales in PC Web and Mobile...; 2012; Chrzan, K., Saunders, T.
- The Confirmit Annual Market Research Software Survey 2011; 2012; Macer, T., Wilson, S.
- How Likely?: Comparisons of Behavioral Intention Measurement Validity; 2012; Bremer, J., Thomas, R. K.
- Effects of Progress Indicators on Short Questionnaires; 2012; Sedley, A., Callegaro, M.
- Coverage error in internet surveys Can fixed phones fix it?; 2012; Vicente, P., Reis, E.
- Open-ended Questions in Web Surveys: One Large vs. Ten Small Boxes; 2012; Keusch, F.
- Effects of Pagination on Short Online Surveys; 2012; Sedley, A., Callegaro, M.
- Understanding selection bias in a worldwide, volunteer web-survey; 2012; Tijdens, K., Steinmetz, S.
- Market research online community (MROC) versus focus group; 2012; Zuber, M.
- FamilyVote – Conducting online surveys with children and families; 2012; Geissler, H., Peeters, H.
- The impact of two-stage highly interesting questions on completion rates and data quality in online...; 2012; Hansen, J. M., Smith, S. M.
- Using Webinar Polls to Collect Online Survey Data: The Case of a Behavioral Finance Problem; 2012; Sahu, C.
- Less questions, more data: Revitalizing the european currency in single source affluent audience measurement...; 2011; Hartman, H.
- Gender-specific on-line shopping preferences; 2011; Ulbrich, F., Christensen, T., Stankus, L.
- The Game Experiments: Researching how gaming techniques can be used to improve the quality of feedback...; 2011; Sleep, D., Puleston, J.
- Voice-of-the-customer marketing: A revolutionary 5-step process to create customers who care, spend,...; 2011; Roman, E.
- Unpublisihed internal Google report on break off rates by device type; 2011; Callegaro, M.
- The impact of cookie deletion on site-server and ad-server metrics in Australia. An empirical comScore...; 2011
- State of mobile measurement; 2011; Gluck, M.
- SDSC Announces scalable, high-performance data storage cloud; 2011
- Online survey research: Findings, best practices, and future research. Report prepared for the Advertising...; 2011; Vannette, D.
- Online survey research: Findings, Best practices, and future research; 2011
- New Esomar survey on use of cookies and tracking technologies; 2011
- Latent class analysis of survey error; 2011; Biemer, P. P.
- Just published: Forrester Wave™ of enterprise feedback management satisfaction and loyalty solutions...; 2011; McInnes, A.
- Involve while you evolve. How to make mobile research work for everyone; 2011; Luck, K.
- Harvard research data security policy; 2011
- GRE® program announces big benefits and big savings for GRE® test takers worldwide; 2011
- Going online with assessment; 2011; Burke, E., Mahoney-Phillips, J., Bowler, W., Downey, K.
- Global market research 2011; 2011
- A Survey Stopping Rule Based on Weighting for Unit Nonresponse; 2011; Lewis, T.
- How far is too far: Traditional, flash and gamification interfaces, and implications for the future...; 2011; Puleston, J., Malinoff, B.
- Effects of internet data collection in business surveys – the case of the Dutch SBS; 2011; Giesen, D.
- Apples and oranges: does a web survey produce similar results to social media tracking?; 2011; Bourque, C., Hobbs, R., Hilaire, D. S.
- Mixed methods designs in marketing research; 2011; Harrison, R. L., Reilly, T. M.
- Reflections on web based data collection in a mixed mode design: the case of the EU Labour Force Survey...; 2011; Kloek, W., van der Valk, J.
- Mobile Research Apps – Adding New Capabilities to Market Research; 2011; Rieber, D.
- Capturing affective experiences using the SMS Experience Sampling (SMS-ES) method.; 2011; Andrews, L., Russell-Bennett, R., Drennan, J.
- Quantifying Open-Ended Responses: Results from an Online Advertising Tracking Survey; 2011; Jacobe, A., Brewer, L., Vakalia, F., Turner, S., Marsh, S. M.
- Dissemination of survey (meta)data in the LISS data archive; 2011; Streefkerk, M., Elshout, S.
- Underreporting in Interleafed Questionnaires: Evidence from Two Web Surveys; 2011; Medway, R., Viera Jr., L., Turner, S., Marsh, S. M.
- A mixed mode pilot on consumer barometer; 2011; Taskinen, P., Simpanen, M.