Using Self-Study for Research: Lessons Learned
In the research world, the emphasis on statistically significant research results is so strong that often the art of the research process gets left behind. Luckily, a team of researchers at the School of Sport, Tourism, and Hospitality Management (STHM) at Temple University recently offered a unique behind-the-scenes look at how they are advancing the commonly accepted research methods in their field.
Collaborative Self-Study: An Innovative Qualitative Research Method
Lead researcher Bradley Baker, PhD ‘17, found there was a lack of substantial progress in innovative methods, especially qualitative, in the sport management field. The antidote to this “lack of creativity, theoretical impact, and practical relevance” is to look past the traditional qualitative and quantitative approaches to embrace a novel way to do research: collaborative self-study.
Collaborative self-study, Baker explains, is a type of qualitative research where researchers study themselves and their own social environment, as opposed to traditional methods where the researcher is a separate, objective onlooker. While this method is still relatively new, it has already been embraced by similar fields, such as the sociology of sport. It provides a unique potential to break through barriers of access to data and research participants, while encouraging a deeper self-reflection by the researchers and strong collaboration between team members.
In their paper, “Collaborative self-study: Lessons from a study of wearable fitness technology and physical activity,” Baker and his co-authors—current STHM doctoral students Xiaochen Zhou and Anthony Pizzo; James Du, PhD ’17, and Professor Daniel Funk—use their experience with this method to advise future researchers on when and how it may provide additional, unique insights. Published in a special issue of the Sport Management Review focused on contemporary qualitative research methods, their paper gives an insider view on how the method worked in practice: “[researchers] ask research questions,” says Pizzo. “But the way we get at that data, that is the focus of this paper. It’s the story behind the story.”
Experiencing the Experiment
Seven sport management graduate students formed a research team to look into how collaborative self-study could be used as a research method. The team consisted of a mix of genders, ages, fitness levels, ethnicities, and professional backgrounds.
Each member received an Apple Watch to wear for one month to record their experiences, thoughts, and exercise levels in a daily journal. The team later shared their experiences in group discussions, identifying common themes found while interacting with the technology, such as social value and attention, influence on physical activity, and anxiety. The experiment gave them a deeper insight into using collaborative self-study as a research method, specifically the possible advantages and disadvantages.
Reflecting on Self-Study: Transparency, True Experience, and Teamwork
On the benefits side, the researchers stated their data had deeper insights and it was faster and more efficient to collect than traditional methods. By not having a barrier—physical, temporal, cultural, or otherwise—between themselves and participants, the researchers had a potentially unlimited, unfiltered data source. Additionally, discussing as a team provided an environment where they could further elaborate on their experiences, stimulate reflection in others, and bond. This collaborative discussion made the data insights more thorough than a simple content analysis of journals, as the researchers were able to clarify their experiences through reflecting on the experiences of others.
However, breaking the barrier between researcher and participant, though innovative, brings up questions of ethics and validity of data, as well as privacy and data security.
“Objectivity is the dominant tradition,” Baker says, “but now things are changing. […] Even what research question you are asking is already breaking absolute objectivity. In all studies, but especially in self-study, you have to be very transparent in your role and your perspective, what biases get integrated in your data.”
In order to ensure data validity, the researchers combined the deep reflection of self-study and the collaborative aspect of using multiple voices to combat the assumed presence of unchallenged assumptions, or researcher “blind spots.” Another possible detraction of this method is the nature of collaborative work: the need to agree, compromise, and end up with a coherent narrative formed by many different voices. This is where in-depth discussion and making sure all voices were heard helped enhance the experience.
Though having pros and cons like any other research method, collaborative self-study gives unique insights into people’s lived experiences and should be considered a valid method in any researcher’s arsenal. “Our hope is that the current work provides a measure of guidance regarding key ethical issues, benefits, challenges, and opportunities inherent to the approach,” Baker says. “We encourage other researchers to consider the potential benefits of collaborative self-study for their own research.”
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