"Designed for the non-statistician, this applications-oriented introduction to multivariate analysis greatly reduces the amount of statistical notation and terminology used, while focusing instead on the fundamental concepts that affect the use of specific techniques. The fourth edition features an applicable six-step framework for each chapter, alongside revisited examples throughout. research design and data analysis courses taught in marketing, management and business departments."
This is the recommended book for non-stats dudes like myself to pick up some of what's needed.
From what I've read so far, I get the feeling that it might be more suited for the academic setting. But I'm going to give it chance.
I understand the importance of the discipline that emerges from logging expectations, observations, and conclusions. But I'm weary of the time-to-value. The agility.
If reusable and reproducible research is the goal, then I need to remain open-mind. In my personal experience, people tend to value knowledge-transfer through conversation, asking questions, and their own hands-on analysis. Rather than reading
But I get the feeling that these logs might be the key to something I'm missing...
I'll read on...