Data gathered by Morse in 1968, 1972, and 1976 surveys of state enforcement divisions were subjected to correlation and multiple regression analysis. Correlation analysis resulted in 75 significant (PS 0.05) correlations between pairs of enforcement variables. Man-years offisheries and wildlife law enforcement was the most frequently occurring variable in the 75 bivariate correlations. Multiple regression analysis was used to gain insight into the relative strength of the relationships between proposed independent variables and a dependent variable (either arrests or arrests per 1,000 licenses) in 6 regression models. A Uniform Recording and Reporting System and an annual survey of law enforcement divisions would make law enforcement data more amenable to statistical analysis.
