Barely Significant

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borderline significantp = 0.051.0× alphagold
highly significantp < 0.051.0× alphaqualifiedgold
Linear modelling Among the selected predictors, the number of long term time series, population density, sustainable development index, and the number of tourists were found to be highly significant ( p < 0.05), whereas country growth and Trompenaar’s 7th dimension were borderline significant ( p = 0.05–0.06; Supplement 4).
highly significantp < 0.051.0× alphaqualifiedgold
This equates to an odds ratio of 1.2 – 1.4; in other words, the odds of participation is 1.2–1.4 times higher given a 1-unit increase ‘intrinsic (pro-nature) motivation.’ Native Hawaiian ethnicity was also highly significant and positive in two of the models ( β = 1.6 ± 0.6, p < 0.05 at 0.25% payment threshold and β = 2.0 ± 0.7, p < 0.01 at 0.5% threshold), equating to an odds ratio of 5.0 and 7.4, respectively.
marginally significantp = 0.051.0× alphagold
Focusing on the test phase, we first ran a repeated measures ANOVA on test performance as a function of trial (old, new) and condition (conceptual, neutral), which revealed a main effect of trial ( F (1, 23) = 28.38, p < 0.001, partial η 2 = 0.55), a marginally significant main effect of condition ( F (1,23) = 4.37, p = 0.05, partial η 2 = 0.16), and a significant trial x condition interaction ( F (1,23) = 6.95, p = 0.01, partial η 2 = 0.23).