*2.3. Data Analyses*

Descriptive statistics such as frequencies, means, proportions, and standard deviations were used to characterize and summarize household demographic, socio-economic attributes, and adaptation strategies adopted. The Chi-square test (χ2) at *p* = 0.05 level of significance was used to assess the statistical differences between adopters and non-adopters of different adaptation strategies as well as the extent of adoption. These analyses were accomplished using the Statistical Package for Social Sciences (IBM SPSS ver. 20). Factors influencing the uptake of the various adaptations by households were analyzed using Multinomial Logit (MNL) regression in STATA ver. 14.2 software. The significance of the influence of the factors was assessed at *p* = 0.05 while the explanatory power of the regression model was assessed using the F-statistic (pseudo R2). The sections below specify the MNL model and describe the variables used in the model and their hypothesized direction of influence.
