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Table 5 Summary of the best model accounting for the observed patterns of contact success rate (a), false-negative rate (b) and contact-triggered GPS location success rate (c)

From: Understanding and geo-referencing animal contacts: proximity sensor networks integrated with GPS-based telemetry

  β-Coefficient SE df t P
(a) Model contact success rate
Intercept 2.2893 0.08323 15 27.51 <.0001
1 logger −0.4716 0.1653 15 −2.85 0.0121
2 loggers −0.3635 0.1277 15 −2.85 0.0123
3 loggers
(b) Model false-negative rate
Intercept 0.6931 0.1768 15 3.92 0.0014
1 logger 1.1192 0.4203 15 2.66 0.0177
2 loggers 0.1386 0.2647 15 0.52 0.6082
3 loggers
(c) Model contact-triggered GPS location success rate
Intercept 4.0604 1.0086 15 4.03 0.0011
1 logger 11.2386 4.4765 15 0.03 0.9803
2 loggers −2.9618 1.0881 15 −2.72 0.0157
3 loggers
  1. β-Coefficients, standard errors and significance for each level of the number of loggers in the network, for the model of contact success rate (a), false-negative rate (b) and contact-triggered GPS location success rate. Since the number of loggers was fitted as a categorical variable in the models, the β-coefficients refer to the difference with respect to the reference level (three loggers)