The phrase "association strength" is correct and usable in written English.
It can be used in contexts related to psychology, statistics, or research, particularly when discussing the degree of relationship between variables or concepts.
Example: "The study aimed to measure the association strength between social media usage and mental health outcomes."
Alternatives: "correlation strength" or "relationship intensity".
As shown in Fig. 12, accuracy significantly increased as the color-object association strength increased.
Spearman's rank correlation is used as a measure of the association strength between two rank sets.
The association strength of the alkyl chains was higher for the block polymer.
Although there is a positive correlation between association strength and accuracy for both color sets, this does not imply that one should maximize association strength when selecting colors (e.g. isolated merit function).
Participants were better at doing so when the assignments maximized association strength between assigned color-object pairings and minimized association strength between non-assigned color-object pairings, even though that required pairing objects with more weakly associated colors.
The balanced merit function simultaneously maximized the association strength between assigned color object parings while minimizing associations between unassigned pairings.
The isolated merit function maximized the association strength between assigned color object parings without concern for associations between unassigned pairings.
Each matrix cell corresponds to a pair of different species and gradation of blue-red colors depict the species-to-species estimated association strength measured at correlation scale.
As a result, the target object gets discarded into the bin that allows for maximization of the total association strength over all possible color-object pairings.
Figure 12 also shows that RTs for each object decreased as the association strength between the object and the correct color increased in the select task.
The popular mutual information cubed criterion [32] was used to acquire syntagmatic relations and was normalized in to define the association strength.
