Many of the articles published in Research Design Review in 2016 were dedicated to qualitative research for the simple reason that qualitative researchers are faced with myriad issues when attempting to achieve quality outcomes, and yet there is relatively little discussion about the quality standards by which to guide their research. RDR attempts to fill this void by focusing on the unique attributes of qualitative research and how they serve to define the optimal approaches to conducting qualitative research that is credible, analyzable, transparent, and useful.
Qualitative Research: A Collection of Articles from Research Design Review Published in 2016 is a compilation of the 17 RDR articles that were published in 2016 devoted to qualitative research. These 17 articles include articles on:
Researchers of all ilk care about bias and how it may creep into their research designs resulting in measurement error. This is true among quantitative researchers as well as among qualitative researchers who routinely demonstrate their sensitivity to potential bias in their data by way of building interviewer training, careful recruitment screening, and appropriate modes into their research designs. It is these types of measures that acknowledge qualitative researchers’ concerns about quality data; and yet, there are many other ways to mitigate bias in qualitative research that are often overlooked.
Marketing researchers (and marketing clients) in particular could benefit from thinking more deeply about bias and measurement error. In the interest of “faster, cheaper, better” research solutions, marketing researchers often lose sight of quality design issues, not the least of which concern bias and measurement error in the data. If marketing researchers care enough about mitigating bias to train interviewers/moderators, develop screening questions that effectively target the appropriate participant, and carefully select the suitable mode for the population segment, then it is sensible to adopt broader design standards that more fully embrace the collecting of quality data.
An example of a tool that serves to raise the design standard is the reflexive journal. The reflexive journal has been the subject (in whole or in part) of many articles in Research Design Review, most notably Read Full Text
Mobile research – specifically, research by way of smartphone technology – has become a widely used and accepted design option for conducting qualitative and survey research. The advantages of the mobile mode are many, not the least of which are: the high incidence of smartphone ownership in the U.S. (more than 60% in 2015), the ubiquitous influence smartphones have on our lives, the dependence people have on their smartphones as their go-to channel for communicating and socializing, and the features of the smartphone that offer a variety of response formats (e.g., text, video, image) and location-specific (e.g., geo-targeting, geo-fencing) capabilities.
From a research design perspective, there are also several limitations to the mobile mode, including: the small screen of the smartphone (making the design of standard scale and matrix questionnaire items – as well as the user experience overall – problematic), the relatively short attention span of the respondent or participant precipitated by frequent interruptions, the potential for errors due to the touch screen technology, and connectivity issues.
Another important yet often overlooked concern with mobile research is the potential for bias associated with the smartphone response format and location features mentioned earlier. Researchers have been quick to embrace the ability to capture video and photographs as well as location information yet they have not universally exercised caution when integrating these features into their research designs. For example, a recent webinar in which a qualitative researcher presented the virtues of mobile qualitative research – esp., for documenting in-the-moment experiences – espoused the advantages of Read Full Text