Skip to main content

Table 4 Comparison of truly competitive models of the proportion of plant recognition and its predictors in the best subset (ΔAICc < 4) of models, ordered by AICc values

From: Known but not called by name: recreational fishers’ ecological knowledge of freshwater plants in Hungary

Model No.

Predictors

Df

logLik

AICc

ΔAICc

Weight

1

Number of fishing locations + years of fishing

4

52.51

 − 96.43

0.14

0.29

2

Age + number of fishing locations + years of fishing

5

52.97

 − 95.03

1.55

0.14

3

Number of fishing locations + site

5

52.44

 − 93.98

2.60

0.09

4

Number of fishing locations + job type + site + years of fishing

8

55.90

 − 93.52

3.05

0.07

5

Number of fishing locations + residence + site

6

53.30

 − 93.30

3.27

0.06

6

Age + number of fishing locations + residence + site + years of fishing

8

55.76

 − 93.23

3.34

0.06

7

Frequency of fishing + number of fishing locations + years of fishing

7

54.41

 − 93.07

3.50

0.05

8

Years at the current location + number of fishing locations + site

6

53.14

 − 92.98

3.59

0.05

9

Age + fishing competition + number of fishing locations + years of fishing

6

53.06

 − 92.83

3.74

0.05

10

Age + years at the current location + number of fishing locations + years of fishing

6

53.03

 − 92.76

3.81

0.05

11

Age + fishing for consumption + number of fishing locations + years of fishing

6

53.02

 − 92.75

3.82

0.05

12

Age + number of fishing locations + residence + years of fishing

6

52.99

 − 92.68

3.89

0.04