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Mary Ellen Dello

6 Podcast Episodes

Latest 4 Apr 2021 | Updated Daily

Weekly hand curated podcast episodes for learning

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[From the Archives] Ep 173: Dr. Mary Ellen Dello Stritto and Stephania Fregosi on Data and Methods in Sustainability Research

Research in Action | A podcast for faculty & higher education professionals on research design, methods, productivity & more

On this episode, guest host Dr. Mary Ellen Dello Stritto is joined by Stephania Fregosi, Sustainability Analyst at Portland Community College. In her role, Stephania completes greenhouse gas inventories, the Sustainability, Tracking, and Rating system report, does research, and provides other support for the college. She earned her Master’s Degree in Environmental Law from the Vermont Law School and her Bachelor of Arts in Environmental Studies from Oberlin College. Stephania has worked in a variety of sustainability roles including sustainability coordination, project management, environmental assessment, community development, and environmental education. She has a passion for social justice, equity, and inclusion and recently served on the Diversity & Inclusion Committee as part of the advisory board of the Association for the Advancement of Sustainability in Higher Education. Segment 1: Data use and Methods in Sustainability [00:00-16:47] In this first segment, Stephania discusses what data and methods she uses in her role as a sustainability analyst. In this segment, the following resources are mentioned: Sustainability Tracking, Assessment & Rating System (STARS) Intergovernmental Panel on Climate Change (IPCC) Economic Input-Output Life Cycle Assessment Segment 2: Analysis and Decision Making [16:48-35:38] In segment two, Stephania discusses data analysis and the role of data in her work. In this segment, the following resources are mentioned: State Renewable Portfolio Standards Economic Input-Output Life Cycle Assessment Oregon Department of Environmental Quality Environmental Protection Agency (EPA) Second Nature Climate Council Greenhouse Gas Protocol Sustainable Purchasing Leadership Council To share feedback about this podcast episode, ask questions that could be featured in a future episode, or to share research-related resources, post a comment below or contact the “Research in Action” podcast: Twitter: @RIA_podcast or #RIA_podcast Email: riapodcast@oregonstate.edu Voicemail: 541-737-1111 If you listen to the podcast via iTunes, please consider leaving us a review. The views expressed by guests on the Research in Action podcast do not necessarily represent the views of Oregon State University Ecampus or Oregon State University.

35mins

14 Sep 2020

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[From the Archives] Ep 160: Dr. Mary Ellen Dello Stritto and Dr. Stephen Jenkins on Academic Advising Online

Research in Action | A podcast for faculty & higher education professionals on research design, methods, productivity & more

On this episode, guest host Dr. Mary Ellen Dello Stritto, is joined by Stephen Jenkins. Stephen is the Interim Executive Director of University Housing and Dining Services at Oregon State University. He has 18 years of experience in higher education student affairs at several institutions. Stephen recently completed his Doctorate of Education in Educational Leadership – Post-secondary Education. For his dissertation, he studied the academic advising experiences and learning of online learners. Segment 1: Academic Advising for Online Learners [00:00-11:19] In this first segment, Stephen shares about the background research on online academic advising. In this segment, the following resources are mentioned: Curry, R. F. (1997). Academic advising in distance education (Doctoral dissertation). The College of William and Mary in Virginia. Retrieve from https://www.learntechlib.org/p/118296/ Moore, M. G. (Ed.). (2013). Handbook of distance education (3rd ed.). New York: Routledge. Segment 2: Methodological Approach [11:20-23:19] In segment two, Stephen discusses the theoretical background and methodological approach. In this segment, the following resources are mentioned: Crookston, B. B. (1972). A developmental view of academic advising as teaching, Journal of College Student Personnel, 13(1), 12-17. O’Banion, T. (1994). An academic advising model. NACADA Journal, 14(2), 10-16. Smith, C. L., & Allen, J. M. (2006). Essential functions of academic advising: What students want and get. NACADA Journal 26(1), pp. 56-66. Segment 3: Overall Findings and Implications [23:20-38:50] In segment three, Stephen shares about his overall findings in his research on academic advising for online learners. In this segment, the following resources are mentioned: Smith, C. L., & Allen, J. M. (2006). Essential functions of academic advising: What students want and get. NACADA Journal 26(1), pp. 56-66. Moore, M. G. (Ed.). (2013). Handbook of distance education (3rd ed.). New York: Routledge. To share feedback about this podcast episode, ask questions that could be featured in a future episode, or to share research-related resources, post a comment below or contact the “Research in Action” podcast: Twitter: @RIA_podcast or #RIA_podcast Email: riapodcast@oregonstate.edu Voicemail: 541-737-1111 If you listen to the podcast via iTunes, please consider leaving us a review. The views expressed by guests on the Research in Action podcast do not necessarily represent the views of Oregon State University Ecampus or Oregon State University.

38mins

31 Aug 2020

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[From the Archives] Ep 145: Dr. Mary Ellen Dello Stritto and Dr. Mimi Recker on Learning Analytics and Big Data

Research in Action | A podcast for faculty & higher education professionals on research design, methods, productivity & more

On this episode, guest host Dr. Mary Ellen Dello Stritto is joined by Mimi Recker, a professor in the department of Instructional Technology and Learning Sciences at Utah State University. She holds a bachelor’s degree in mathematics from the University of Pennsylvania. After a few years working as a software engineer in Silicon Valley (working on early Internet protocols), she earned her PhD from the University of California, Berkeley. Mimi worked for two years at the Georgia Institute of Technology and for four years at Victoria University of Wellington in New Zealand, before finally joining Utah State University in 1998. Mimi became Department Head of Instructional Technology & Learning Sciences in 2008, serving for 7 years. Her research focuses on helping the education sector take advantage of the benefits of cyber-learning and teaching. Over the years, this line of research, funded by the National Science Foundation and the Institute for Museum and Library Services, has involved a dynamic mix of faculty, post-docs, and graduate students from Utah State University, as well as colleagues from around the world. When not working, you might find her on skis, in a kayak, on a bike, or on a cliff, exploring the natural beauty around Logan. Segment 1: Learning Sciences and Analytics [00:00-19:10] In this first segment, Mimi discusses the field of learning sciences, learning analytics in higher education, and big vs. traditional data sets. Segment 2: Analyzing Big Data [19:10-35:06] In segment two, Mimi shares statistical approaches for analyzing big data sets and her research on LMS data. To share feedback about this podcast episode, ask questions that could be featured in a future episode, or to share research-related resources, post a comment below or contact the “Research in Action” podcast: Twitter: @RIA_podcast or #RIA_podcast Email: riapodcast@oregonstate.edu Voicemail: 541-737-1111 If you listen to the podcast via iTunes, please consider leaving us a review. The views expressed by guests on the Research in Action podcast do not necessarily represent the views of Oregon State University Ecampus or Oregon State University.

36mins

17 Aug 2020

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[From the Archives] Ep 133: Dr. Mary Ellen Dello Stritto and Dr. M. Brooke Robertshaw on Effect Sizes

Research in Action | A podcast for faculty & higher education professionals on research design, methods, productivity & more

On this episode, Dr. Mary Ellen Dello Stritto is joined by Brooke Robertshaw, PhD, an assistant professor and the assessment librarian at Oregon State University. Her current research interests revolve around the ethics of learning analytics with a particular interest in the contextual nature of quantitative methodologies. Brooke is a member of the Data Doubles team that is exploring student perspectives of learning analytics. She is passionate about quantitative literacy, social justice, and the intersection of the two. In her spare time, she enjoys whitewater and flat water kayaking, discovering ways to give voice to the voiceless of the diaspora in the Middle East, and traveling to Jordan to spend time with her dear friends there. Segment 1: The Importance of Effect Sizes [00:00-15:28] In this first segment, Brooke discusses effect sizes, how they are used, and why they are important. In this segment, the following resources are mentioned: American Psychological Association (APA) Segment 2: Best Practices for Using Effect Sizes [15:29-28:41] In segment two, Brooke discusses best practices for using effect sizes and resources to learn more. In this segment, the following resources are mentioned: Resources on effect sizes: Coe, R. (2002, September 12-14). It’s the effect size, stupid: What effect size is and why it is important. Paper presented at Annual Conference of the British Educational Research Association, University of Exeter, England. Dr. M. Brooke Robertshaw’s website: stats.brookerobertshaw.com Campbellcollaboration.org esfree.usu.edu To share feedback about this podcast episode, ask questions that could be featured in a future episode, or to share research-related resources, post a comment below or contact the “Research in Action” podcast: Twitter: @RIA_podcast or #RIA_podcast Email: riapodcast@oregonstate.edu Voicemail: 541-737-1111 If you listen to the podcast via iTunes, please consider leaving us a review. The views expressed by guests on the Research in Action podcast do not necessarily represent the views of Oregon State University Ecampus or Oregon State University.

28mins

3 Aug 2020

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[From the Archives] Ep 109: Dr. Mary Ellen Dello Stritto and Patrick Aldrich on Non-parametric Statistics

Research in Action | A podcast for faculty & higher education professionals on research design, methods, productivity & more

On this episode, Dr. Mary Ellen Dello Stritto is joined by Patrick Aldrich. Patrick received his bachelor’s degree in Wildlife biology and a minor in Entomology from the University of California, Davis. After graduation, he spent 5 years in various field biology positions, studying a wide array subjects from Bowerbird mating systems in Australia to integrated pest management of ground squirrels in Northern California. He subsequently decided to return to school to pursue a PhD at the University of Hawaii, Manoa, where he studied the spatio-temporal variation of pollination networks in Hawaiian tropical dry forests. Following his graduate work, he was the project director for a project that used spatial analyses to study the random correspondence of fingerprint patterns. Through his work, he has acquired extensive experience in biostatistics. He is currently the data manager and statistician for the Oregon Quality Rating and Improvement System for early childhood and other projects at The Research Institute at Western Oregon University. He continues to apply parametric, non-parametric and likelihood methodologies to analyze various datasets associated with early childhood and educational research. Segment 1: Parametric vs. Non-parametric statistical tests [00:00-18:52] In this first segment, Patrick discusses the differences between parametric and non-parametric statistical tests and the best practices for using non-parametric tests. In this segment, the following resources are mentioned: RIA # 91: Dr. Mary Ellen Dello Stritto and Dr. William D. Marelich on the Applied Quantitative Perspective Segment 2: Using non-parametric tests [18:53-33:31] In segment two, Patrick discusses how he uses non-parametric statistical tests in his research and how other researchers have used them. In this segment, the following resources are mentioned: Anderson, M. J. (2001). A new method for non-parametric multivariate analysis. Austral Ecology 26, 32-46. Oregon’s Quality Rating Improvement System (QRIS) Mann-Whitney U test Additional resources on non-parametric statistics: Wasserman, Larry (2007). All of nonparametric statistics. New York: Springer. Conover, W. J. (1999). Practical nonparametric statistics (3rd ed.). New York: John Wiley & Sons, Inc. Siegel, S. & Castellan Jr., N. J. (1989). Nonparametric statistics for the behavioral sciences (2nd ed.). McGraw-Hill. To share feedback about this podcast episode, ask questions that could be featured in a future episode, or to share research-related resources, post a comment below or contact the “Research in Action” podcast: Twitter: @RIA_podcast or #RIA_podcast Email: riapodcast@oregonstate.edu Voicemail: 541-737-1111 If you listen to the podcast via iTunes, please consider leaving us a review. The views expressed by guests on the Research in Action podcast do not necessarily represent the views of Oregon State University Ecampus or Oregon State University.

33mins

6 Jul 2020

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[From the Archives] Ep 91: Dr. Mary Ellen Dello Stritto and Dr. William Marelich on the Applied Quantitative Perspective

Research in Action | A podcast for faculty & higher education professionals on research design, methods, productivity & more

n this episode, Dr. Mary Ellen Dello Stritto is joined by Dr. William D. Marelich, a Professor of Psychology at California State University, Fullerton, and consulting statistician for Health Risk Reduction Projects, Integrative Substance Abuse Programs, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles. His research interests and publications address decision-making strategies in health settings, patient/provider interactions, HIV/AIDS, and statistical/methodological approaches in experimental and applied research. Dr. Marelich is coauthor of the book “The Social Psychology of Health: Essays and Readings” and is an Editorial Board Member of the International Journal of Adolescence and Youth. He also has an interest in Sports Psychology with applications to baseball. Segment 1: Applied Quantitative Perspective [00:00-10:43] In this first segment, William discusses the applied quantitative perspective in research. In this segment, the following resources are mentioned: Marelich, W. D., & Erger, J. S. (Eds.). (2004). The social psychology of health: Essays and readings. Thousand Oaks, CA: SAGE Publications. International Journal of Adolescence and Youth Segment 2: Key Quantitative Concepts [10:44-19:38] In segment two, William offers his perspective on key statistical concepts to understand for reading research reports and publications. Segment 3: On the Statistical Horizon [19:39-28:35] In segment three, William discusses statistical software and the concepts of p-hacking and p-curves. In this segment, the following resources are mentioned: R (free statistical software) IBM SPSS  SAS Articles related to p-Curve and p-Hacking: Cumming, G. (2016). A primer on p-Hacking. MethodSpace. Retrieved from https://www.methodspace.com/primer-p-hacking/ Bruns S. B., & Ioannidis, J. P. A. (2016). p-Curve and p-Hacking in observational research. PLoS ONE 11(2): e0149144. https://doi.org/10.1371/journal.pone.0149144 To share feedback about this podcast episode, ask questions that could be featured in a future episode, or to share research-related resources, post a comment below or contact the “Research in Action” podcast: Twitter: @RIA_podcast or #RIA_podcast Email: riapodcast@oregonstate.edu Voicemail: 541-737-1111 If you listen to the podcast via iTunes, please consider leaving us a review. The views expressed by guests on the Research in Action podcast do not necessarily represent the views of Ecampus or Oregon State University.

28mins

22 Jun 2020