Public concern about, and desire for research into, the human health effects of marine plastic pollution: R script

Published: 18 December 2020| Version 1 | DOI: 10.17632/sxmtz2m57f.1
Contributor:
Sophie Davison

Description

Four R scripts, used for creating: 1) Sample wide weighted means of public concern for the human health impacts of 16 marine threats including marine plastic pollution and country level breakdowns of these means (Figures 1 & 3). A repeated measures ANOVA via a mixed linear effect model is also scripted which tests the effect of marine threat on concern level, as well as post hoc analysis testing the differences between marine threats. 2) Sample wide weighted means of public support for research into the human health implications of 15 marine research areas, including marine plastic pollution and country level breakdowns of these means (Figures 2 & 4). A repeated measures ANOVA via a mixed linear effect model is also scripted which tests the effect of marine research area on support level, as well as post hoc analysis testing the differences between marine research areas. 3) A data frame for multi-level regression analysis. 4) Multi-level modelling predicting public concern for and desire for research into marine plastic pollution, as well as mediation analysis formally testing the mediating effect of concern.

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