. 2014 May 5;24(9):988–992. doi: 10.1016/j.cub.2014.03.012

Table 2.

The Independent and Dependent Models

Retrieval of Element (C)	Retrieval of Element (B)
Retrieval of Element (C)	Correct (P_AB)	Incorrect (1 − P_AB)
Independent Model

Correct (P_AC)	∑ _i=1^NP_ABP_AC	∑ _i=1^NP_AC (1 − P_AB)
Incorrect (1 − P_AC)	∑ _i=1^NP_AB (1 − P_AC)	∑ _i=1^N(1 − P_AB)(1 − P_AC)

Dependent Model

Correct (P_AC)	∑ _i=1^NṔⁱ_ABṔⁱ_AC	∑ _i=1^NṔⁱ_AC (1 − Ṕⁱ_AB)
Incorrect (1 − P_AC)	∑_i=1^NṔⁱ_AB (1 − Ṕⁱ_AC)	∑ _i=1^N(1 − Ṕⁱ_AB)(1 − Ṕⁱ_AC)

Contingency tables for the Independent and Dependent models, giving the frequency (over events) of the four combinations of correct or incorrect retrieval of elements B and C when cued by element A. The Dependent model replaces the probability of correctly recalling B when cued by A (across all events; P_AB) with Ṕⁱ_AB= Eⁱ_AB(P_AB − P_G/c) + P_G/c, where the episodic factor Eⁱ_AB reflects performance on event i relative to other events (based on retrievals other than B and C cued by A), P_G is the probability of guessing, and c = 6 is the number of choices in a test trial. P_AC is replaced similarly (see Supplemental Information for details). The Dependent model equates to the Independent model if the episodic factors are set to 1.