Appendix 3 Descriptive and exploratory statistics for recreational preferences (N = 496). Exploratory factor analysis (EFA) was used to reduce the size of the dataset by identifying relationships between items, and extracting latent factors (determined by eigen values and factor loadings as cut-off criteria, and then calculated as factor scores) underlying the items and explaining a percentage of the variance in the data. Reliability tests ascertained that the factor scores derived from EFA had internal consistency (represented by the Cronbach’s α value).
Mean score / SE / Items / Factor loading / Eigen value / Variance explained (%) / Cronbach alpha (α)Intrusive-high cost a / 3.71 / 0.08 / 7 / 8.19 / 39 / 0.87
Collect shells / 4.33 / 0.09 / 0.47
Water-ski, jet-ski, motorboat / 4.13 / 0.10 / 0.63
Shopping / 4.06 / 0.10 / 0.65
Fishing / 3.72 / 0.10 / 0.65
Camping / 3.46 / 0.11 / 0.73
Horse-riding, biking / 3.16 / 0.10 / 0.82
Four-wheel driving / 2.87 / 0.10 / 0.85
Beach dependent a / 5.86 / 0.05 / 5 / 3.34 / 16 / 0.87
Sun bathing / 6.05 / 0.06 / 0.90
Being with family and friends / 5.94 / 0.07 / 0.58
Relaxing, reading / 5.93 / 0.06 / 0.85
Socialising / 5.81 / 0.06 / 0.84
Playing beach sports / 5.58 / 0.07 / 0.62
Water dependent a / 4.89 / 0.07 / 4 / 1.29 / 6 / 0.79
Swimming, bathing / 5.55 / 0.07 / 0.62
Surfing / 4.94 / 0.09 / 0.80
Sailing, windsurfing / 4.53 / 0.09 / 0.69
Snorkelling, diving / 4.36 / 0.09 / 0.59
Nonintrusive a / 5.03 / 0.06 / 5 / 1.00 / 5 / 0.84
Photographing / 5.53 / 0.07 / 0.64
Picnic / 5.32 / 0.08 / 0.74
Sightseeing / 5.22 / 0.08 / 0.66
Walking, running / 5.06 / 0.08 / 0.70
Observing wildlife / 3.92 / 0.09 / 0.46
a 1 = no or extremely low importance – 7 = extremely high importance
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