Forsidebilde av showet The Method to Our Madness

The Method to Our Madness

Podkast av staceymerola

engelsk

Teknologi og vitenskap

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Les mer The Method to Our Madness

The Method to Our Madness is a podcast that explores the art, ethics, and impact of research and evaluation. Hosted by award-winning evaluator and musician Dr. Stacey Merola, and William Pate, who together have close to 50 years of evaluation experience, each episode dives into the stories behind the data. Join our two hosts as they discuss their trials and tribulations as program evaluators: how they engage stakeholders, ask questions, measure change, and translate findings into action.  From equity-driven frameworks to creative data storytelling, this show brings together thought leaders, community advocates, and methodologists to rethink what meaningful evidence looks like. Whether you're a seasoned researcher or just curious about how evaluation shapes the world, tune in for insights that are rigorous, resonant, and real.

Alle episoder

12 Episoder

episode Training Tomorrow’s Evaluators in a Changing World cover

Training Tomorrow’s Evaluators in a Changing World

What does it take to prepare the next generation of evaluators to meet the challenges of a changing world? This episode dives into the shifting demands on the field, from federal funding uncertainty to the growing influence of AI tools, and the skills future evaluators will need to rise to the challenges. Our guests from the University of Minnesota discuss how future evaluators should be trained to think systemically, challenge assumptions, and act as collaborative problem-solvers, as well as possibly be prepared for an employment model based on project work, rather than extended tenure at one organization. Whether you're in education, public policy, or nonprofit work, this conversation offers timely insight into how evaluation is being redefined for the future.   Our guests this week from the University of Minnesota are: John Hitchcock, Ph.D. [https://olpd.umn.edu/people/john-hitchcock], Professor of Evaluation Studies and Marilyn Sime Professor for Educational Excellence, hitch141@umn.edu Jodi Benenson, Ph.D. [https://olpd.umn.edu/people/jodi-benenson], Associate professor in the Department of Organizational Leadership, Policy, and Development in the College of Education and Human Development, benenson@umn.edu Stuart Yeh, Ph.D. [https://olpd.umn.edu/stuart-yeh], Professor and Coordinator of Graduate Programs in Evaluation Studies, yehxx008@umn.edu [yehxx008@umn.edu]   We cover a lot of topics in this episode, so if desired, a written summary can be found here: Episode 12 summary [https://drive.google.com/file/d/10oMJXq6lEOWU8_77MssFHYM4fkDQUOaE/view?usp=sharing]   Podcast music written and produced by Stacey Merola. Podcast artwork by Zoe Targino.

14. mai 2026 - 47 min
episode The Practice and Judgement Behind Measuring Fidelity of Implementation cover

The Practice and Judgement Behind Measuring Fidelity of Implementation

Fidelity of implementation is often talked about but rarely understood. In Episode 10 of The Method to Our Madness, Allan Porowski, Principal Associate at Abt Global, brings clarity to this critical concept in program evaluation. Drawing on years of experience and large‑scale evaluation work, Allan explains why fidelity metrics must be tailored to each program, how planned‑offered‑received frameworks reveal meaningful variation, and why imperfect implementation can still drive valuable insight. This episode offers practical wisdom for evaluators seeking to interpret results with context, nuance, and purpose.   Podcast music written and produced by Stacey Merola. Podcast artwork by Zoe Targino.

16. april 2026 - 32 min
episode Keeping Statistics Useful: From Descriptive Data to Meaningful Impact cover

Keeping Statistics Useful: From Descriptive Data to Meaningful Impact

In this episode of The Method to Our Madness, Stacey and Bill unpack the different types of statistics commonly used in program evaluation—and why “simple” doesn’t mean unsophisticated. They explore how evaluators balance accessibility with rigor, discussing when descriptive statistics, t-tests, and ANOVA are the right tools, and when more advanced methods like hierarchical linear modeling or propensity score matching make sense. Along the way, they dig into the hidden complexity behind clean-looking results, the limits of common data visualization tools, and why effect sizes often matter more than p-values. Drawing on real research experiences, disciplinary perspectives from sociology and psychology, and lessons learned from both practice and academia, this conversation highlights what it really takes to produce statistical findings that are both credible and useful. The episode wraps up with a reflection on communicating results clearly—and an open invitation for listeners to suggest future topics they’d like to explore in greater depth.   Podcast music written and produced by Stacey Merola. Podcast artwork by Zoe Targino.

2. april 2026 - 38 min
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