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Table 1 Pre- and post-self-assessments of skills given in the Dec. 2020 workshop presenting this methodology

From: Tools for integrating inertial sensor data with video bio-loggers, including estimation of animal orientation, motion, and position

Phrase

Pre-assessment % agreement

Post-assessment % agreement

58 total respondents (%)

28 paired respondents (%)

31 total respondents (%)

28 paired respondents (%)

I know how to examine bio-logging data in MATLAB

29

36

87

86

I can plot time series in MATLAB

38

43

77

75

I could teach a new user how to operate a CATS tag (setup for deployment and download data)

21

18

42

43

I currently use MATLAB regularly as part of my job

38

43

45

43

I plan to use MATLAB more often as part of my job

74

75

90

89

I understand how accelerometers and magnetometers interact to determine animal orientation

60

57

94

93

I understand how CATS data is synchronized with video data

14

11

90

93

I understand in principle how speed can be estimated from high frequency accelerometer data or flow noise

50

46

90

93

I understand how to convert data collected in situ into engineering units

21

18

55

57

I have the tools I need to create synched video and data files from CATS data

24

21

90

93

  1. % agreement is the percentage of respondents who answered “yes” they agree with the statement. Paired respondents are those who answered both a pre- and a post-survey