An Interaction Model for Resource Implement Complexity Based on Risk and Number of Annual Moves

American Antiquity • Vol/Iss. 73(4) • Cambridge University Press • • Published In • Pages: 599-625 •
By Read, Dwight

Hypothesis

A longer growing season (GS) and a higher number of annual moves (NMV) is correlated with lower implement diversity and elaborateness.

Note

The authors attempt to fit an additive model and an interaction model of GS and NMV to the data of implement diversity and elaborateness. They find that the interaction model is theoretically sounder, and accounts for around 70% of the variation in CSTS and NCT, and TTS/STS and MXT if the outliers are removed but is unsatisfactory for STS. However, as NCT and TTS/STS account for both diversity and elaborateness respectively, the model is shown to be a good fit, and demonstrates that higher GS and NMV values are correlated with less implement diversity and elaborateness.

Test

Test NameSupportSignificanceCoefficientTail
Regression AnalysisSupportedUNKNOWNUNKNOWNUNKNOWN

Variables

Variable NameVariable Type OCM Term(s)
Total number of complex subsistantsDependentTools And Appliances
Total number of complex subsistant typesDependentTools And Appliances
Total number of subsistantsDependentTools And Appliances
Average number of technounits per subsistantDependentTools And Appliances
Length of growing season in monthsIndependentAnnual Cycle
Total number of technounits summed over the most complex implement per implement typeDependentTools And Appliances
Number of annual residential movesIndependentSettlement Patterns