"degree of generalization" is a correct and usable phrase in written English.
You can use it when discussing the amount of detail or abstraction found in a particular statement or idea. For example, "The sociologist's analysis of the data was a high degree of generalization, making it difficult to draw specific conclusions."
Ramus thought it essential to construct a system of precepts arranged according to their degree of generalization, always starting with the more general and proceeding toward the more specific.
In addition, the degree of generalization or detail should be as consistent as possible throughout the map.
The high degree of generalization leads to high 'competency' of the design systems.
Resistance increases showed a moderate degree of generalization across unpleasant films and pictures, unpleasant and pleasant pictures, as well as cholinergic blockade and placebo.
Two appetitive conditioning experiments with rats investigated whether the degree of generalization between a compound and its component parts is fixed or variable.
The present overview shows that the theoretical basis for developing every design system leads to the construction of a formal mathematical model of a set of mechanism structures with a greater or smaller degree of generalization.
Finally, analysis of qualitative data requires some degree of abstraction or generalization as patterns are identified in the data and related to larger constructs or theories.
Such lack of modulation in early components may seem in contradiction with previous studies suggesting a link between low degree of learning generalization of learned stimuli and changes in early stages of the visual path.
There were no differences detected in concordance among taxa groups, degree of specialization or generalization of selected taxa, or land conservation categorization of sample sites with respect to all sites.
First, empirically, we do not find much support for a relation between speed of learning and rule-based generalization in our data; e.g., in Experiment 2B, there was no correlation between total number of training blocks and degree of rule-based generalization (r = −0.18, t(23) < 1, p = 0.38).
Theoretically, it is possible that there was a difference in the extent to which the rats in Experiment 1A were overtrained compared to the humans in Experiment 1B, which might explain the difference in the degree of rule-based generalization between rats and humans.
