For half a century, Galton's problem has been a thorn in the side of cultural anthropologists, agitating them to print. Galton's problem motivated the creators of all the major cross-cultural sampling frames to advocate selection of a single ethnographic description from each of up to hundreds of internally homogeneous culture areas. Why this happened is perplexing. Galton's problem disappears when it is thought of as a theoretical issue of correct specification of a theoretical model. There are implications for the construction of new cross-cultural samples.
Asher, H. B. (1983). Causal modeling (2nd ed.). Beverly Hills, CA: Sage.
2.
Denton, T. (2004). Cultural complexity revisited. Cross-Cultural Research, 38(1), 3-26.
3.
Denton, T. (2007). Unit of observation in cross-cultural research: Implications for sampling and aggregated data analysis. Cross-Cultural Research, 41, 3-31.
4.
Divale, W. T. (2004). World Cultures CD data disk. World Cultures, 14, 194-194.
5.
Hosmer, D. W., & Lemeshow, S. (2000). Applied logistic regression (2nd ed.). New York: John Wiley.
6.
Kutner, M. H., Nachtscheim, C. J., & Neter, J. (2004). Applied linear regression models (4th ed.). Boston: McGraw-Hill Irwin.
7.
Levinson, D., & Malone, M. J. (1980). Toward explaining human culture. New Haven, CT: HRAF Press.
8.
Murdock, G. P. (1967). Ethnographic atlas. Pittsburgh, PA: University of Pittsburgh Press.
9.
Murdock, G. P., & Provost, C. (1973). Measurement of cultural complexity. Ethnology, 12, 379-392.
10.
Naroll, R. (1970). Galton's problem. In R. Naroll & R. Cohen (Eds.), A handbook of method in cultural anthropology (pp. 974-1003). Garden City, NY: Natural History Press.
