Explicit memory has typically been measured using direct memory tests such as recall or recognition. Implicit memory has typically been measured using indirect memory tests. For instance, in a stem completion task subjects are presented with word stems that can be completed in several ways (e.g. "BA--"). Subjects are asked to complete the word stem with the first word that comes to mind (e.g. bank, band, bang, bard, barb, etc.). Research has indicated that subjects who have been exposed to a word during study (e.g. bard) will complete the word stem with that word at higher than baseline levels.
Results of studies using indirect tests haveoften been attributed to implicit memory. But Larry Jacoby argued that indirect tests are not process pure. That is, indirect tests, although intended to measure implicit memory, may sometimes be influenced by explicit memory (e.g. "hmmm, BA--, hey that reminds me of the word bard that I saw"). Similarly, responses on direct tests, although designed to measure explicit memory, may be influenced by unconscious processes (e.g. guessing on a multiple choice test).
The process dissociation procedure was developed to provide better measures of conscious and unconscious processes by setting those processes in opposition to one another.
Inclusion Instructions (I): Select any facts that were in any of the newspaper stories.The Venn diagrams below illustrate the probility of selecting a WWN item under the two types of instructions. The circle with the R in it depicts the probability of consciously recollecting the WWN item. The circle with the F in it depicts the probability that a WWN item will be familiar.
Exclusion Instructions (E): Select any facts that were any of the NY Times stories, but do not select any fact that you read in the Weekly World News.
Figure 1. Selection of Items Under Inclusion and Exclusion Instructions.
You can use the probability of selecting an item under the exclusion and inclusion instructions to estimate both Recollection and Familiarity. The following Venn diagrams show how you would estimate Recollection using the process dissociation procedure:
Figure 2. Estimating Recollection from Inclusion and Exclusion Responses.
Familiarity:
You can also estimate familiarity. However to do so you need to know a little probability theory. See that portion of the Venn diagrams where the R circle and the F circle overlap? That's called the joint probability of R and F. Simply put, its the probability of R and F both happening. When two events are independent (i.e. they don't influence each other) the joint probability of two events is equal to the product of their individual probabilities. In other words, P(A&B) = P(A)xP(B). Armed with this knowledge, the following Venn diagrams illustrate how you would estimate familiarity:
Figure 3. Estimating Familiarity from Exclusion and Recollection.
F = E + RF
Now you notice that F is on both sides of the equation, which isn't all that helpful. So you need to do a little high school algebra to make the equation more useful.
F = E + RF
F - RF = E
(1-R)F = E
F = E/(1-R)
There you go. Pretty easy really. By using the process dissociation procedure you can obtain estimates of the probability of recollection and familiarity by relying on the proportion of responses made in the inclusion condition and in the exclusion condition.
The independence assumption is necessary for the math to work because the joint probability of R and F will only equal R times F if they are independent. If you don't assume independence then the overlapping segment is no longer equal to RF and all bets are off..
Its not difficult to imagine circumstances where the invariance assumption would be violated. Assume for instance that under the inclusion instructions subjects are more willing to respond based on familiarity. If that were the case then familiarity would be higher in the inclusion condition than in the exclusion condition. This would be a violation of the invariance assumption. You'd now be left with the following situation.
I = R + (1-R)FIWhere FI > FE. If you pull the old simultaneous subtraction bit like you did above you now get something much messier!E = (1-R)FE
Indeed people have argued against both of these assumptions. If you'd like to learn more about process dissociation check out the references listed below.Restimated = I-E = R + (1-R)FI - (1-R)FENotice that because FI > FE you would tend to overestimate R under these conditions.Obviously, you are also going to run into problems estimating the value for F. For one thing these is no F. There are two F's that depend on which instructions are given. Second the value of F is calculated by making use of your estimate of R. But that estimate would be off. So if the invariance assumption is violated it can cause major problems.
Some PDP References:
Early Evidence:
Jacoby, L.L. (1992). A process dissociation framework: Separating automatic from intentional uses of memory. Journal of Memory and Language, 30, 513-541.
Jacoby, L.L., Lindsay, D.S. & Toth, J.P. (1992). Unconscious influences revealed: Attention, awareness, and control. American Psychologist, 47, 802-809.
Some Critics:
Curran, T. & Hintzman, D.L. (1995). Violations of the independence assumption in process dissociation. Journal of Experimental Psychology: Learning, Memory, & Cognition, 21, 531-547.
Dodson, C.S & Johnson, M.K. (1996). Some problems with the process-dissociation approach to memory. Journal of Experimental Psychology: General, 125, 181-194.
Graf, P. & Komatsu, I. (1995). The process dissociation procedure: Handle with caution. European Journal of Cognitive Psychology, 6, 113-129.
Some Responses:
Jacoby, L.L. (1997). Invariance in automatic influences of memory: Toward a user's guide for the process-dissociation procedure. Journal of Experimental Psychology: Learning, Memory and Cognition, 24, 3-26.
Jacoby, L.L., Yonelinas, A.P. & Jennings, J. (1997).
The relation between conscious and unconscious (automatic) influences.
A declaration of independence. In J. Cohen & J.W. Schooler (Eds.),
Scientific Approaches to Consciousness (pp.13-47). Mahweh NJ: Erlbaum.
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