Doctoral Seminar 2
The research process, educational issues, and an introduction to quantitative methodology.
This quote summarizes the Doctoral Seminar 2 (DS2) summer course on quantitative research at Brock University in St. Catherine's. While the topic of statistics struck fear in my psyche, getting access to the syllabus well in advance of the course allowed me to structure a progressive reading schedule that eased my concerns. Hoy and Adams (2016) primed me for qualitative research. Creswell & Guetterman (2019) became a well tagged guide. Caldwell (2013) and Nardi (2018) were at my side providing tips and strategies. But it was Kransler (2018) who became my primary navigator through the course. As I read through the research papers for this course, I applied the four sentence summary that was introduced in DS1 but also used a template from Hoy and Adams (2016) to analyze and synthesize the readings for this course (DeWaard, 2019b)But whether you learn to enjoy it or not, whether you go on to more advanced work or just stay with what you now know, whether you actively use your statistics or simply become an informed consumer - whatever you do with it - nobody can change or take away the fact that you did learn it and that you did survive. And it wasn't as bad as you thought it would be - truly now, was it?
(Kranzler, 2018, p. 184.)
DS2 focused on examining qualitative and mixed methods research approaches. The course presented extensive opportunities to critically examine, analyze, synthesize, and evaluate research from published papers. This included deconstructing the research question, determining the purpose for the research, examining items included or excluded from the literature review, analyzing the descriptions of methodology and methods used, interpreting the discussion of results with a critical lens on the statistical analysis, and appraising the stated research implications. This practice was then applied to the construction of our own research proposal using a qualitative or mixed method approach.
While qualitative or mixed method research remains on my horizon as a result of this course, there would be much to learn beyond the statistical introduction provided in DS2. I have certainly become a more critical reader and consumer, the skills and fluencies required to design, create, plan, carry out, and report on quantitative or mixed method research would require additional learning opportunities, with practice in action.
It was during DS2 that I took steps toward data analysis. In particular I became interested in how to use software to support research efforts. I downloaded and introduced myself to SPSS, but have not yet resolved technical issues that impact my use of this digital resource. I purchased NVivo software and began exploring this digital tool as a way to analyze research information in meaningful ways. This was only the beginning of my active use of NVivo, which you will see in the reflections from the Research Colloquium course.
DS2 prompted some deeper analysis of the foundations of literature reviews. Before the course started, I reflected on my own literature reviews from a critical stance (DeWaard, 2019a) with these observations:
- look for tighter themes in the literature and comprehensively integrate ideas rather than listing articles in random order with threads of ideas tying pieces together
- refine and rewrite since there are too many quotations in the body of my writing. I need to reveal my own voice and only quote those ‘diamond gems’ of pithy wisdom that can’t be restated without losing their lustre.
- scope wide AND deep to find interlinking articles and fields of thought; then knit and fuse them together (cnyttan) (This notion was shared at Domains 19 on Virtually Connecting by Lora Taub.)
- analysis is important, it’s part of that knitting that needs to be done. I could go deeper into themes by using coding and concept mapping tools (Combs et al., 2010; Chen et al., 2016). Since I have not done any systematic coding or coding analysis, it’s time to learn how to work with software options (Randolph, 2009) such as NVivo.
During the course, it was during a round of 'lightning talks' where we were asked to share and query each other's research questions as part of an in class task, that my question and resulting research design was honed and shaped (DeWaard, 2019c). These conversations reinforced the key elements that need to be in the research question. As discussed in class: variables need to be clearly defined and operationalized, the context of the research needs to be explained, the characteristics of participants and their selection should be stated, and the hypothesized directions for the research need to be established.
While my research plan may not include quantitative research methods or methodologies, this course helped me see how each piece of the research puzzle relies on other pieces to ensure they fit into the whole research picture. This becomes even more evident in the learning that occurs in the Research Colloquium course. The paradigmatic framework I apply to research originates from my ontological, axiological, epistemological, and ethical foundations (Guba & Lincoln, 2005). It is in this reflexive comprehensive portfolio that as my steps bring me closer to the center of this Joint PhD labyrinth, they also bring me closer to myself as researcher, "the human as instrument" (Guba & Lincoln, 2005, p. 210). This process of knowing myself will continue into my research as a "conscious experiencing of the self as both inquirer and respondent, teacher and learner, as the one coming to know the self within the processes of research itself" (Guba & Lincoln, 2005, p. 210).
References
Caldwell, S. (2013). Statistics Unplugged (4th ed.). Belmont, CA: Wadsworth Cengage Learning.
Chen D. T., Wang, Y. M., & Lee, W. C. (2016). Challenges confronting beginning researchers in conducting literature reviews. Studies in Continuing Education. 38(1), 47-60. doi:10.1080/0158037X.2015.1030335.
Combs, J. P., Bustamante, R. M., & Onwuegbuzie, A. J. (2010). An interactive model for facilitating development of literature reviews. International Journal of Multiple Research Approaches, 4(2), 159-182.
Creswell, J. W., & Guetterman, T. C. (2019). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (6th ed.). New York, NY: Pearson.
DeWaard, H. (2019a, June 5). What I've learned about literature reviews. https://stepbystep.hjdewaard.ca/blog/researchjournal/what-ive-learned-about-literature-reviews/
DeWaard, H. (2019b, June 7). Blog while you are reading. https://stepbystep.hjdewaard.ca/blog/reading/blog-while-you-are-reading/
DeWaard, H. (2019c, July 12). Honing a research question. https://stepbystep.hjdewaard.ca/blog/research/honing-a-research-question/
Ferrari, A., Punie, Y., Brečko, B. N., & Institute for Prospective Technological Studies. (2013). DIGCOMP: a framework for developing and understanding digital competence in Europe. Luxembourg: Publications Office. Retrieved from http://dx.publications.europa.eu10.2788/52966
Foulger, T. S., Graziano, K. J., Schmidt-Crawford, D., & Slykhuis, D. A. (2017). Teacher educator technology competencies. Journal of Technology and Teacher Education, 25(4), 413–448. Retrieved from https://www.learntechlib.org/primary/p/181966/.
Guba, E. G., & Lincoln, Y. S. (2005). Paradigmatic controversies, contradictions, and emerging confluences. In N. K. Denzin & Y. S. Lincoln (Eds.), Sage Handbook of Qualitative Research (3rd ed., pp. 191–215). Thousand Oaks: Sage Publications.
Hoy, W. K., & Adams, C. M. (2016). Quantitative Research in Education: A Primer (2nd ed.). Thousand Oaks, CA: SAGE Publications Inc.
Kranzler, J. H. (2018). Statistics for the terrified (6th ed.). Lanham, MD: Rowman & Littlefield.
Lazaro Cantabrana, J. L., Usart Rodríguez, M., & Gisbert Cervera, M. (2019). Assessing teacher digital competence: The construction of an instrument for measuring the knowledge of pre-service teachers. Journal of New Approaches in Educational Research, 8(1), 73–78. https://doi.org/10.7821/naer.2019.1.370
Nardi, P. M. (2018). Doing survey research: A Guide to quantitative methods (4th ed.). New York, NY: Routledge, Taylor & Francis Group.
Nascimbeni, F., & Burgos, D. (2016). In search for the open educator: Proposal of a definition and a framework to Increase openness adoption among university educators. The International Review of Research in Open and Distributed Learning, 17(6). https://doi.org/http://dx.doi.org/10.19173/irrodl.v17i6.2736
Randolph, J. J. (2009). A guide to writing the dissertation literature review. Practical Assessment, Research & Evaluation, 14(13), 1–13. https://doi.org/http://pareonline