Preparation for the Doctor of Nursing Practice (DNP) role focuses on application and practice. The Doctoral of Philosophy (PhD) degree prepares nurse scientists to conduct research and discover new knowledge in nursing (AACN, 2010; Melnyk, 2013). Both degrees do not necessarily prepare nurses to teach nursing, since nursing education courses are not typically included in nursing degrees unless the program has an emphasis on nursing education (Dreifuerst et al., 2016). In preparing DNP graduates for roles in practice and application of research findings, DNP programs do not focus heavily on developing and conducting research. Instead, the focus is on translating existing research into practice. The result is that DNP-prepared graduates moving into faculty roles may have less experience in conducting original research, which is an expectation in most academic settings (Nicholes & Dyer, 2012; Smeltzer et al, 2015). DNP faculty are necessary to teach DNP students and to guide their future practice; however, the question of scholarship expectations continues to be a barrier to successful assumption of the faculty role. Some schools are divided on whether DNP-prepared faculty are prepared to teach nursing, but most agree that they are not prepared for the research expectations in academia, particularly in universities and Carnegie Level I Research institutions (Agger, Oermann & Lynn, 2014; Oermann, Lynn & Agger, 2016). The literature demonstrates that much is still unknown about the perception of doctorally-prepared faculty members on their confidence in teaching and the challenges they face. The current study builds upon the limited research into this topic by asking doctorally-prepared faculty members to reflect on their career in academia and the impact of their doctoral degree program on their preparation for the faculty role.
A link to a researcher-developed questionnaire will be sent to nursing faculty in CCNE-accredited schools of nursing in seven states in the southern U.S. Data will be analyzed using descriptive and inferential statistics. Findings from the study should be completed by early Spring 2018.