Table 3.

Predictions derived from DFT as represented in Table 2

	Discriminability prediction	Theoretical basis	Figure
Main effects	1) Full target > internal target	Face processing literature	2
	2) Match > mismatch	Encoding specificity	3
	3) Lineups > showups	DFT	4
	4) Full face(s) at retrieval > internal face(s) at retrieval	DFT	5
Simple effects	5) Full-full > full-internal	Encoding specificity	6
	6) Internal-internal > internal-full	Encoding specificity	6
	7) Internal-internal showup > internal-full showup	Encoding specificity	7
	8) Full-full showup > full-internal showup	Encoding specificity	7
	9) Full-full lineup > full-internal lineup	Encoding specificity	8
	*10) Internal-internal lineup ≥ internal-full lineup	DFT	8

DFT = Diagnostic feature-detection theory; *The ≥ symbol here represents the fact that we expect these two conditions to be either equivalent or with a small discriminability advantage for Internal-Internal. However, critically, we expect this difference (if significant), to be weaker than for the other match versus mismatch predictions. This expectation is due to an assumed DFT process of discounting of non-diagnostic information, which should occur for lineups and not for showups. According to DFT, discounting of non-diagnostic information in lineups boosts discriminability, which we expect to either bring Internal-Full Lineup up to the level of Internal-Internal Lineup, or at least closer than for showups