Research Methods for Understanding Aircraft Noise Annoyances and Sleep Disturbance (2014) / Chapter Skim
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Appendix F Response Propensity Analysis Logistic regression models are commonly used for predicting a binary (taking on values of 0 or 1)
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values of the covariate are associated with lower response rates. From the model, the following values are significantly associated with having a higher response rate: living near Airport 1 or 2 (as opposed to Airport 3)
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Table 14 Coefficients and standard errors for logistic regression model predicting probability of responding to the survey Variable Logistic Regression Model Coefficient Standard Error Intercept -0.5172 0.3931 DNL 0.0065 0.0057 Airport1 -0.0545 0.1422 Airport3 -0.4931*
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