Adjunct Faculty-Advanced Quantitative Research
Franklin University, located in Columbus, Ohio, is seeking part-time adjunct faculty to teach doctoral level Advanced Quantitative Research course. This 8-week course will be taught in an online format each term beginning in May.
This course provides an overview, critical examination, and application of most commonly used current methods of advanced statistical analysis and multivariate techniques. The emphasis of the course is put on practical applications of concepts and use of these applications to address students’ research questions. The course includes using software packages to conduct statistical analysis and present the results.
Requirements for this position includes a doctorate degree in Statistics and/or Quantitative Methods or related field. If the degree is in a related area, the candidate should have at least 18 graduate credit hours in Statistics or Research Methodology. Excellent teaching evaluations, at least 3 years of previous online teaching experience and/or over 8 years industry experience working with data and/or advanced quantitative techniques and methods are also required.
Founded in 1902, Franklin University has built its reputation on removing barriers to higher education for ambitious adults who must balance their educational goals with other commitments. Accredited and nonprofit, Franklin has earned its long-standing reputation as an innovator in online education. The University offers applied, in-demand undergraduate, master’s and doctorate programs that enable adult learners to achieve their educational and professional goals. From entrepreneurs to CEOs, more than 50,000 Franklin alumni can be found around the world contributing to the communities in which they live and work.
Franklin University is committed to creating a respectful and inclusive educational and workplace environment. Franklin does not discriminate on the basis of age, religion, race, ethnicity, color, national origin, ancestry, immigration status, sex, sexual orientation, gender identity or expression, marital or familial status, disability, or veteran or military status.