Resonances: Quantitative Comparison Feb2010 minutes (Analyst A2 coding vs. Analyst A1 priority coding)

A set of “resonances”, factors describing what people care about and are willing to express, has been presented along with applications relating to water and environmental management in New Zealand and in the USA. The resonances describe commonly encountered preferences, beliefs, needs, and motivations expressed in individual and/or group narratives. See the link to the current list and definitions in "Related Materials" below. The link to accompanying article (Glynn et al., 2026) in the Journal of Integrative Sciences is also provided.
The files in this dataset show the quantitative comparison for two different resonance analyses of the Feb2010 LWAG minutes document. One analysis was conducted by analyst A2, and the other was conducted by analyst A1. Analyst A1 conducted both a “full” analysis (A1-full) and also identified a subset of most dominant “priority” resonances (A1-priority). The "A1p" analysis files given in this dataset corresponds to Analyst A1's "priority" analysis.
The quantitative comparison was performed twice, once investigating agreement or disagreement across the 10 resonance categories that structure the set of resonances, and a second time across the 81 individual resonances.
An excel file "Feb2010-A2-A1p-ReCal2-anon" contains all the needed information used to create the "input*.csv" files that were input into Deen Freelon's ReCal2 software (https://dfreelon.org/utils/recalfront/recal2/). The software provides pdf output files and an output .csv files that we have changed into output excel files to better show overall levels of agreement across either the set of 10 resonance categories or the set of 81 resonnances.
Lastly, two .png files allow graphical comparisons of the resonance analysis conducted by Analyst A2 and the "priority" analysis conducted by analyst A1.
This Figshare dataset is copyrighted by its authors and is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). See https://creativecommons.org/licenses/by-nc/4.0/ for license details. This work supports an article (DOI: 10.1080/1943815X.2026.2658596) also under license CC BY-NC published in the Journal of Integrative Environmental Sciences entitled “Resonances to Improve Environmental and Natural Resources Management”. The above statement supersedes any Figshare.com-supplied licensing.