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Elevating conceptual research: Insights, approaches, and support

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Abstract

Tom's story: In the second year of my doctoral program, while working on a model for my dissertation, I started writing up some thoughts on how several of the constructs I was studying might fit together. I guess I just didn't know any better, as I submitted this to a special issue of a journal that focused on my area of interest. A year later, my soloauthored conceptual article came out in press, and to this day, nearly 30 years later, still reliably gets 25 citations each year (see Gruen, 1995) . While the model in that article did not end up being the final model used in my dissertation, it provided the foundational elements, and it let me know I was on the right track. It also helped me land my first faculty position. Once my dissertation was completed, it was on to publishing the revised conceptual model along with the empirical findings. I had plenty of encouragement and help from my dissertation committee, and we were successful in getting the empirical article published. But publishing the conceptual model as a stand-alone article was not the focus, and I never did get back to publishing a conceptual article from my dissertation. While it was not my experience, I hear from doctoral students that they are often discouraged from writing and publishing conceptual articles, as their doctoral programs encourage the "safer" route of publishing empirical studies. They are often told to wait to publish conceptual articles until after tenure, when they have less pressure to publish. Supposedly conceptual article writing is more risky than empirical work, as the nature of the evidence is based on reasoning, logic, and connecting previous work, rather than having data generated specifically to support the proposed relationships. This advice is well intended, but good conceptual work is critical for two reasons. First, this is where the new ideas are going to be generated and disseminated. Second, empirical work needs to be grounded on solid conceptual models, so the theoretical implications of the findings become useful.

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