The Dow-Eff functions are written in the R language, and are available in an R workspace which can be loaded in an R GUI such as RStudio. Based on ideas developed by Malcolm M. Dow and E. Anthon Eff, the functions will estimate OLS, logit, and multinomial logit models, using multiple imputation to handle the problem of missing data, and network lag terms to handle Galton’s Problem.


Using R scripts with the SCCS
Using R scripts with the LRB
Using R scripts with the EA
Using R scripts with the WNAI

Using R scripts with the XC (merged 371 society dataset)

 

 

Dow’s initial work on network lag models:

Dow, M. M., Burton, M. L., White, D. R., & Reitz, K. (1984). Galton’s Problem as network autocorrelation. American Ethnologist, 11, 754-770. (Link)   

Dow, M. M. (2007). Galton’s Problem as multiple network autocorrelation effects. Cross-Cultural Research, 41, 336-363. (Link)

Dow and Eff on the prevalence of autocorrelation in cross-cultural data:

Eff, E. Anthon. 2004. “Does Mr. Galton Still Have a Problem?: Autocorrelation in the Standard Cross-Cultural Sample.” World Cultures. 15(2):153-170.  (Link)      

Eff, E. Anthon. Spatial and Cultural Autocorrelation in International Datasets. MTSU Department of Economics and Finance Working Papers. February 2004.       (Link)

Eff, E. Anthon. Spatial, Cultural, and Ecological Autocorrelation in U.S. Regional Data. MTSU Department of Economics and Finance Working Papers. September 2004. (Link) 

Dow, Malcolm M., and E. Anthon Eff. 2008. “Global, Regional, and Local Network Autocorrelation in the Standard Cross-Cultural Sample.” Cross-Cultural Research. 42(2):148-171. (Link)

Dow and Eff on incorporating multiple imputation and network lags to estimate cross-cultural models:

Eff, E. Anthon, and Malcolm M. Dow. Do Markets Promote Prosocial Behavior? Evidence from the Standard Cross-Cultural Sample. MTSU Department of Economics and Finance Working Papers. April 2008. (Link)  

Eff, E. Anthon and Malcolm M. Dow. 2009. "How to Deal with Missing Data and Galton’s Problem in Cross-Cultural Survey Research: A Primer for R." Structure and Dynamics: eJournal of Anthropological and Related Sciences: Vol. 3: No. 3, Article 1. (Link) (updated scripts—2011)

Dow, Malcolm M, and E. Anthon Eff. 2009. “Multiple Imputation of Missing Data in Cross-Cultural Samples.” Cross-Cultural Research 43(3):206-229. (Link)

Dow, Malcolm M, and E. Anthon Eff. 2009. “Cultural Trait Transmission and Missing Data as Sources of Bias in Cross-Cultural Survey Research: Explanations of Polygyny Re-examined.” Cross-Cultural Research.43(2):134-151. (Link)

Substantive papers employing the Dow-Eff functions:

Brown, Christian, and Eff, E. Anthon. 2010. “The State and the Supernatural: Support for Prosocial Behavior.” Structure and Dynamics: eJournal of Anthropological and Related Sciences: Vol. 4: No. 1, Article 3. (Link)

Eff, E. Anthon, and Philip W. Routon. 2011. “Farming and Fighting: An Empirical Analysis of the Ecological-Evolutionary Theory of the Incidence of Warfare.” Structure and Dynamics: eJournal of Anthropological and Related Sciences: Vol. 5: No. 2, Article 3. (Link)

Dow, Malcolm M., and E. Anthon Eff. 2013. "When One Wife is Enough: A Cross-Cultural Study of the Determinants of Monogamy." Journal of Social, Evolutionary, and Cultural Psychology 7(3):211-238. (Link)

Papers related to data creation for the Standard Cross-Cultural Sample:

Eff, E. Anthon. 2008. "Weight Matrices for Cultural Proximity: Deriving Weights from a Language Phylogeny." Structure and Dynamics: eJournal of Anthropological and Related Sciences. Vol. 3, No. 2, Article 9. (Link)

Eff, E. Anthon, and Abhradeep Maiti. 2013. “A Measure of Technological Level for the Standard Cross-Cultural Sample.” World Cultures, 19(1). (Link) 

Eff, E. Anthon. 2010. “A Scale for Markets and Property in the Societies of the Standard Cross-Cultural Sample: A Linear Programming Approach.” World Cultures. 17(2). (Link)