Dr. Olu Awosoga completed his dissertation on Meta-Analysis of Multiple Baseline Time-Series Design Intervention Models for Dependent and Independent Series. This study developed a traditional meta-type analysis and corresponding robust methodology for multiple baseline series. This is a statistical approach used in applied statistical research to investigate the validity of procedures and power comparisons between parametric and robust methods.
Awosoga joined the Faculty of Health Sciences in July 2009, the same year he completed his doctoral program at Western Michigan University in Kalamazoo, MI. He teaches applied statistics courses to undergraduate and graduate students and works with various faculty members as a statistical consultant. He is a co-investigator in the following projects: Moral Distress in the Care of Persons with Alzheimer Disease in Residential Care Facilities; Slave Lake Fire project to investigate the response of families and children – community resiliency; CAETL (now known as the Teaching Centre) project to assess teaching effectiveness in undergraduate applied statistics course.
Awosoga is passionate about using his knowledge in applied statistics to provide simple interpretation of results obtained from data analysis to make sense to the average man – a fundamental basis for his research interests.
Most recently, as a principal investigator, he has applied for several grants through the Alberta Centre for Child, Family and Community Research and Workers Compensation Board to investigate the health status of childcare workers in southern Alberta.
What first piqued your interest in your research discipline?
My interest base was first stirred up by a combination of statistical courses I took during my graduate program, in particular, applied statistics in social sciences. I had questions about a data analysis approach used in a journal article where I first discovered the word 'meta analysis.' So, I decided to learn more about it and of course, the result was my dissertation topic.
How is your research applicable in "the real world"?
In the real world, meta analysis of multiple baseline time-series design intervention models is of great interest to researchers in the fields of behavioural sciences, environmental sciences, economics, education and medicine. They often employ interrupted time-series designs to determine the effectiveness and efficiency of several interventions in both clinical and natural settings. This model also provides a strong basis for causal conclusions.
What is the greatest honour you have received in your career?
As a graduate student, I received the best graduate research poster during the third annual Western Michigan University research and creative activities poster day in 2009.
Personally, I feel honoured every time I meet with a former student who shares how their statistical learning is enhancing their work, and feel the same when I can offer a meaningful statistical analysis in collaborative projects. In my career, it warms my heart to have an article accepted for publication or to obtain approval for a research grant.
How important are students to your research endeavours?
I find that working with students is a two way learning dynamic. Data analysis is core in interpreting research findings; hence it is rewarding being able to engage students in quantitative research. Students who work with me are trained in data collection procedures, recruiting research participants, conducting and transcribing qualitative interviews, data coding and literature reviews. This process provides students with learning opportunities and prepares them for future research works.
If you had unlimited funds, which areas of research would you invest?
If money was not an object, I would invest in any research which requires application of statistical theory and concepts, and would also participate in continuous professional development across the globe. In particular, I would invest in research focusing on health related issues to provide reasonable explanations to understanding existing variable relationships, interactions, cause and effects, amongst other things. In addition, I desire to participate in innovative teaching research to build stronger teaching and learning strategies at all levels of education.
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