Record Details


Field	Value

Title	Data analysis for cultural multilevel selection research: a tutorial

Identifier	https://doi.org/10.7910/DVN/9HO5J8

Creator	Waring, Timothy

Publisher	Harvard Dataverse

Description	This R script is an analytical supplement to: Designing cultural multilevel selection research for sustainability science. Kline, Waring & Salerno. (2018) Sustainability Science which describes how and why to use a cultural multilevel selection investigation to study the emergence of sustainability-related behaviors and cultural traits. The theory presented in the article, and the analysis we demonstrate below are not limited to environmental behavior, and may be applied to any appropriate behavioral dataset. Here we provide a practical, reusable, and open-source analysis example for researchers interested in using cultural multilevel selection methods to analyze their data. If you use or build on the code, please cite the paper. We demonstrate two simple methods which will help researchers gain intuition about the statistical features of their datasets and whether group-level cultural selection may be at play. Because this code generates random data, running the code multiple times will produce different datasets, and different results.

Subject	Earth and Environmental Sciences Social Sciences evolution sustainability culture multilevel selection

Contributor	Waring, Timothy

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