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Table 2 Summary of our simulation study results (in percentages) for three design questions focusing on ability of Movement Metric-based Change-Point Model (MMCPM) to correctly detect the timing of the change for and the magnitude of consistency of change in movement metrics (step lengths and turning angles, SL and TA, respectively; magnitude), duration of observation following the event occurring (duration), and fix interval (frequency)

From: Change-point models for identifying behavioral transitions in wild animals

Category

Magnitude

Duration

Frequency

Difference in SL and TA

Difference in TA

Difference in SL

No difference

48 h

24 h

12 h

06 h

03 h

15 min

30 min

60 min

Level 1

100

98

–

–

100

100

88

64

44

98

98

92

Level 2

–

–

8

–

–

–

–

–

2

–

–

4

Level 3

–

–

–

–

–

–

–

–

–

–

–

–

Not successful

–

–

10

2

–

–

–

–

–

–

–

4

No change detected

–

2

82

96

–

–

12

36

54

2

2

–

Did not converge

–

–

–

2

–

–

–

–

–

–

–

–

  1. We simulated 50 datasets for each of these and summarized results based on a priori levels of success, whether no change point was detected, or lack of convergence