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Open Access Publications from the University of California

Structure and Dynamics

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The Structure and Dynamics eJournal welcomes articles, book reviews, data, simulations, research material, and special issues that examine aspects of human evolution, social structure and behavior, culture, cognition, or related topics. Our goal is to advance the historic mission of anthropology in the broadest sense to describe and explain the range of variation in human biology, society, culture and civilization across time and space. Submissions of databases, software tutorials, programs, and teaching materials are welcomed, as are communications on research materials of interest to a wide variety of science and social science researchers, including networks, dynamical models, and complexity research and related genre.


How to Deal with Missing Data and Galton’s Problem in Cross-Cultural Survey Research: A Primer for R

Multiple imputation (MI) has become the preferred method for dealing with missing data in survey research. MI involves three steps: creating m multiply imputed complete datasets; estimating models on each of the m datasets using any standard statistical procedure; combining the resulting multiple estimates of each statistic of interest. This paper provides R programs for MI, and offers some advice for employing MI with data drawn from the Standard Cross-Cultural Sample (SCCS). A second set of R programs combines estimates from the m imputed data sets, and also deals with the problem of network autocorrelation effects, i.e., Galton’s Problem or the non-independence of cases, using two-stage instrumental variables (IV) regression. The objective of the paper is to provide programs, advice and explanations that will help researchers employing cross-cultural survey data, especially the SCCS, to deal with the twin problems of missing data and network autocorrelation effects, using the open source statistical package R. The paper is intended to complement a recent suite of publications by Dow and Eff where both theoretical and empirical issues underlying these two problems are discussed in detail.

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