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“Let me tell you your problems.”: Using Q methodology to elicit latent problem perceptions about invasive alien species - 1-s2.0-S0016718518303531-mmc1

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SUPPLEMENTARY MATERIAL

To the article “Let me tell you your problems”. Using Q methodology to elicit latent

problem perceptions about invasive alien species

By Jetske Vaas, Peter P. J. Driessen, Mendel Giezen, Frank van Laerhoven and Martin J.

Wassen

Contents

1

Saban perspectives on value of nature...2

1.1

Ranks per factor...2

1.1.1 Future-oriented nature conservation...2

1.1.2 Modern utilitarian...2

1.1.3 Optimistic agri-ruralism...3

1.2

Consensus statements Saba...4

2

Statian perspectives on value of nature...5

2.1

Ranks per factor...5

2.1.1 Nature conservation for tourism...5

2.1.2 Utilitarian scientists...6

2.1.3 Bright future for community sustainability...7

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1

Saban perspectives on value of nature

1.1

Ranks per factor

1.1.1 Future-oriented nature conservation

Table 1. Ranks for factor 1. This is a part of the table of the idealised Q sort. A rank of -5 means this statement was placed on the Least like how I think-end, while +5 was placed on the Most like how I think-end of the continuum.

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1.1.2 Modern utilitarian

Table 3. Ranks for factor 2. This is a part of the table of the idealised Q sort. A rank of -5 means this statement was placed on the Least like how I think-end, while +5 was placed on the Most like how I think-end of the continuum.

Table 4. Distinguishing statements for factor 2. “PQMethod generates a set of distinguishing statements for each factor based on the statistically significant difference between each statement’s normalized z-scores across all factors at P ≤ 0.01, two-tailed, critical value = 0.449.” (Cheng and Mattor 2005, 551). For comparison, the scores of those statements on the other factors are listed as well.

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Table 5. Ranks for factor 3. This is a part of the table of the idealised Q sort. A rank of -5 means this statement was placed on the Least like how I think-end, while +5 was placed on the Most like how I think-end of the continuum.

Table 6. Distinguishing statements for factor 3. “PQMethod generates a set of distinguishing statements for each factor based on the statistically significant difference between each statement’s normalized z-scores across all factors at P ≤ 0.01, two-tailed, critical value = 0.449.” (Cheng and Mattor 2005, 551). For comparison, the scores of those statements on the other factors are listed as well.

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2

Statian perspectives on value of nature

2.1

Ranks per factor

2.1.1 Nature conservation for tourism

Table 8. Ranks for factor 1. This is a part of the table of the idealised Q sort. A rank of -5 means this statement was placed on the Least like how I think-end, while +5 was placed on the Most like how I think-end of the continuum.

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Table 9. Distinguishing statements for factor 1. “PQMethod generates a set of distinguishing statements for each factor based on the statistically significant difference between each statement’s normalized z-scores across all factors at P ≤ 0.01, two-tailed, critical value = 0.449.” (Cheng and Mattor 2005, 551). For comparison, the scores of those statements on the other factors are listed as well.

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Table 11. Distinguishing statements for factor 1. “PQMethod generates a set of distinguishing statements for each factor based on the statistically significant difference between each statement’s normalized z-scores across all factors at P ≤ 0.01, two-tailed, critical value = 0.449.” (Cheng and Mattor 2005, 551). For comparison, the scores of those statements on the other factors are listed as well.

2.1.3 Bright future for community sustainability

Table 12. Ranks for factor 1. This is a part of the table of the idealised Q sort. A rank of -5 means this statement was placed on the Least like how I think-end, while +5 was placed on the Most like how I think-end of the continuum.

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Table 13. Distinguishing statements for factor 3. “PQMethod generates a set of distinguishing statements for each factor based on the statistically significant difference between each statement’s normalized z-scores across all factors at P ≤ 0.01, two-tailed, critical value = 0.449.” (Cheng and Mattor 2005, 551). For comparison, the scores of those statements on the other factors are listed as well.

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