Data management and analysis
HL
REGRESSION
The data were imported into STATA15 software for further cleaning and analysis. Basic analysis followed the intention to treat (ITT) principle [A multilevel mixed effect modified Poisson regression with level one as boaters and level two as cluster (landing sites) was employed to assess the effect of the intervention on lifejacket wear. Random landing site intercepts assuming a normal distribution with an unstructured covariance structure combined with fixed effects covariates were employed. Before performing the multilevel analyses, we ran a null model to calculate the intra-cluster correlation coefficient (ICC), which reflects the proportion of total variance in lifejacket wear outcome explained by the landing site. An ICC value of 0.082 was obtained, suggesting that a considerable amount of variation was accounted for by the landing site [We employed the logical model-building procedure using the backward elimination method in the multiple regression analysis. Variables that met the 0.2 level at bivariable analysis, as well as those in the conceptual framework, guided the model building procedure. The goodness of fit (GOF) of the model was assessed using the Hosmer-Lemeshow (HL) test. A level of 5% with a two-tailed test was used to signify statistical significance at 95% confidence interval. The reporting of the results was guided by the consolidated standards of reporting randomized-controlled trials (CONSORT) statement–extension for cluster randomized trials [