I am an Assistant Professor and Assessment Librarian at Oregon State University Libraries and Press. I earned my PhD from Utah State University where I studied Instructional Technology and Learning Sciences, and have been using social science resesearch methodologies in assessment and evaluation research for over a decade.
I am a mixed-methodologist but my specialty is in the use of quantitative methodologies, including quasi-experimental and survey methodologies. My academic and research interests include the intersection of ethics and learning analytics, psychometrics, helping people to develop quantitative literacy, and the technological pedagogical content knowledge framework. I also have extensive experience with open educational resources and one day I might go back to working in that world again.
I am passionate about making assessment, research, and statistics accessible to everyone. I believe rigor and intentionality can be addressed even without the knowledge of what an ANOVA, epistemology or a quasi-experimental design is. In our lived experience we have the tools to do good assessment, to ask interesting research questions, and to find the answers. Every time we ask ourselves how we can be better at x, we are participating in the assessment cycle; every time we wonder why something is, or how a will affect b, we are partipating in research. It may look different than what the scholars at universities produce, but it isn’t any less valid or useful for the context within which those questions are asked.
Finally, I see statistics as a way of communicating a thought that can’t be communicated any other way. I often use the metaphor of listening to the data and asking what the story it wants to tell me, or the song it wants to sing to me (music is a major part of my soul-soothing, just like analyzing data). To me it is one of the most beautiful languages we have to communicate with, and yet I understand that it has its faults. I also understand that it is a scary languge to many. My hope is to take the scariness out of it for people so that they can see the beauty in it that I see and so that they can use it in their work. Ultimately I’d like to turn as many people as I can into stats badasses because the more stats badasses we have, the better, at least that’s what I think :).