Quantitative historical analysis uncovers a single dimension of complexity that structures global variation in human social organization
Proceedings of the National Academy of Sciences • Vol/Iss. 115(2) • National Academy of Sciences • Washington, D.C • Published In • Pages: 144-151 •
By Turchin, Peter, Currie, Thomas E., Whitehouse, Harvey, François, Pieter, Feeney, Kevin, Mullins, Daniel, Hoyer, Daniel, Collins, Christina, Grohmann, Stephanie, Savage, Patrick E., Mendel-Gleason, Gavin, Turner, Edward, Dupeyron, Agathe, Cioni, Enrico, Reddish, Jenny, Levine, Jill, Jordan, Greine, Brandl, Eva, Williams, Alice, Cesaretti, Rudolf, Krueger, Marta, Ceccarelli, Alessandro, Figliulo-Rosswurm, Joe, Tuan, Po-Ju, Peregrine, Peter N., Marciniak, Arkadiusz, Preiser-Kapeller, Johannes, Kradin, Nikolay, Korotayev, Andrey V., Palmisano, Alessio, Baker, David, Bidmead, Julye, Bol, Peter, Christian, David, Cook, Connie, Covey, Alan, Feinman, Gary M., Júlíusson, Árni Daníel, Kristinsson, Axel, Miksic, John, Mostern, Ruth, Petrie, Cameron, Rudiak-Gould, Peter, ter Haar, Barend, Wallace, Vesna, Mair, Victor, Xie, Liye, Baines, John, Bridges, Elizabeth, Manning, Joseph, Lockhart, Bruce, Bogaard, Amy, Spencer, Charles
Hypothesis
Social complexity variables will cluster into two categories (scale and nonscale), resulting in two significant principal components of variation.
Note
Post Hoc: Alternative hypothesis is that the variables are all correlated with each other, and will result in one principal component.
| Test Name | Support | Significance | Coefficient | Tail |
|---|---|---|---|---|
| Principal Component Analysis | Not Supported | NA | Multiple | UNKNOWN |