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Determining Processing Depth of Classification Questions: An Experiment, Study Guides, Projects, Research of Human Memory

This document reports an experiment investigating the relationship between processing depth and memory performance. Subjects ordered a series of classification questions based on their relative processing depths. The results showed a significant correlation between question depth and recall performance, supporting the depth-of-processing hypothesis. However, the study did not fully define the relationship between processing depth and performance.

What you will learn

  • How did subjects determine the relative processing depths of classification questions?
  • What is the depth-of-processing hypothesis?
  • What was the relationship between processing depth and memory performance in the experiment?

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Memory &Cognition
1978.
Vol.
6 (3), 283-287
Memory
performance andsubject-defined
depth of processing
JOHN G. SEAMON and SUSAN VIROSTEK
Wesleyan University, Middletown, Connecticut 06457
This experiment found
that
subjects could order a series of classification questions in terms
of their relative depth of processing. The subject-defined processing depth was used to predict
performance in an incidental learning task which employed the same questions with different
subjects. Asignificant rank correlation was obtained between question depth of processing
and stimulus word free recall. These data provide an independent assessment of processing
depth and memory performance and thereby satisfy a necessary,
but
not sufficient condition
for the depth-of-processing hypothesis. Little success was achieved, however, in attempting
to define the scheme relating processing depth and performance. While memory is related
to encoding coditions, the search for the relational scheme continues.
Several years ago, Craik and Lockhart (1972)
hypothesized that memory performance varies directly
with the level or depth
of
stimulus encoding. Better
performance in studies
of
incidental learning is typically
found when stimuli are classified on the basis
of
meaning
or conceptual relationships than visual or phonological
features. The former tasks are felt to reflect deep
semantic processing, while the latter are thought to
entail surface-structural analysis.
Evidence for the difference between structural and
semantic processing tasks appears to be strong. Hyde
and Jenkins (1969) found associative clustering to be
greater following a semantic than a structural orienting
task. Elias and Perfetti (1973) showed false recognitions
on acoustically or semantically related distractors to
vary directly with encoding conditions. Finally, Seamon
and Murray (1976) found that stimulus meaningfulness
directly affected the recall and recognition
of
words
analyzed on a semantic basis,
but
had no effect on items
classified on a physical basis.
The above studies clearly show that structural and
.semantic orienting tasks entail different kinds
of
processing, but as Nelson
(l977)
effectively argues,
different kinds of processing need not reflect different
depths
of
processing. Differential depth
of
processing is
an assumption based on different types
of
processing
which produce different measures of memory
performance.
The purpose
of
this research is to determine if a large
number
of
classification tasks can be ordered in terms
of
processing depth to be used subsequently as a basis
The present study was supported by a Wesleyan University
Research Grant awarded to the first author. Requests forreprints
should be sent to John G. Seamon, Department of Psychology,
Wesleyan University, Middletown, Connecticut 06457. Appreci-
ation is expressed to Thomas O. Nelson and Fergus I. M. Craik
for comments on an earlier version. Susan Virostek is now at
Columbia University.
for predicting performance on a free recall task. As
stated by Nelson (1977,
p.165),
"the
derivation
of
the
empirical ordering from the theoretical ordering must
occur independently for memory performance and for
depth of processing so that the examination
of
data
can potentially falsify the principle." Anonsignificant
rank correlation between the ordering
of
classification
tasks and subsequent memory performance would
constitute evidence contrary to the depth-of-processing
hypothesis. Alternatively, a significant rank correlation
would satisfy a necessary,
but
not sufficient condition
for the Craik and Lockhart
(1972)
position.
PART 1
Method
Subjects. The subjects were 17 Wesleyan undergraduates
who were enrolled in the senior author's memory seminar
during the spring semester of 1977. At the time of the
experiment, the subjects had read and discussed sensory
memory, attention, and pattern recognition as topics in
the course. The students were not yet familiar with the levels-
of-processingapproach to memory .
Materials. The 13 classification tasks listed by Nelson (1977,
Table 3) and shown in Table I were used in this study. The 13
questions were printed separately on pieces of paper, shuffled,
and placed in an envelope for each subject. The numbers
associated with each question in Table I will be used for later
data presentations in Part 2 and were not available to the
subjects. Table I merely lists the questions with an associated
numerical code.
Procedure. The first part of this experiment was conducted
in a classroom with each of the 17 students seated at a separate
desk. On a blackboard in front of the room, the word FROG
was printed in uppercase letters. Each subject was given an
envelope containing the 13 classification questions and asked
to order the questions in terms of their relative processing depths
from low to high on the surface of the desk. Depth of processing
was defined as the amount of processing or degree of difficulty
associated with each question. No mention of ease of learning
was made to the subjects at any time. The emphasis was placed
on the difficulty of different kinds of processing per se. Subjects
were told that there was no "correct" sequence; they could
283
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Memory & Cognition

1978. Vol. 6 (3), 283-

Memory performance and subject-defined

depth of processing

JOHN G. SEAMON and SUSAN VIROSTEK

Wesleyan University, Middletown, Connecticut 06457

This experiment found that subjects could order a series of classification questions in terms

of their relative depth of processing. The subject-defined processing depth was used to predict

performance in an incidental learning task which employed the same questions with different

subjects. A significant rank correlation was obtained between question depth of processing

and stimulus word free recall. These data provide an independent assessment of processing

depth and memory performance and thereby satisfy a necessary, but not sufficient condition

for the depth-of-processing hypothesis. Little success was achieved, however, in attempting

to define the scheme relating processing depth and performance. While memory is related

to encoding coditions, the search for the relational scheme continues.

Several years ago, Craik and Lockhart (1972)

hypothesized that memory performance varies directly

with the level or depth of stimulus encoding. Better

performance in studies of incidental learning is typically

found when stimuli are classified on the basis of meaning

or conceptual relationships than visual or phonological

features. The former tasks are felt to reflect deep

semantic processing, while the latter are thought to

entail surface-structural analysis.

Evidence for the difference between structural and

semantic processing tasks appears to be strong. Hyde

and Jenkins (1969) found associative clustering to be

greater following a semantic than a structural orienting

task. Elias and Perfetti (1973) showed false recognitions

on acoustically or semantically related distractors to

vary directly with encoding conditions. Finally, Seamon

and Murray (1976) found that stimulus meaningfulness

directly affected the recall and recognition of words

analyzed on a semantic basis, but had no effect on items

classified on a physical basis.

The above studies clearly show that structural and

.semantic orienting tasks entail different kinds of

processing, but as Nelson (l977) effectively argues,

different kinds of processing need not reflect different

depths of processing. Differential depth of processing is

an assumption based on different types of processing

which produce different measures of memory

performance.

The purpose of this research is to determine if a large

number of classification tasks can be ordered in terms

of processing depth to be used subsequently as a basis

The present study was supported by a Wesleyan University Research Grant awarded to the first author. Requests forreprints should be sent to John G. Seamon, Department of Psychology, Wesleyan University, Middletown, Connecticut 06457. Appreci- ation is expressed to Thomas O. Nelson and Fergus I. M. Craik for comments on an earlier version. Susan Virostek is now at Columbia University.

for predicting performance on a free recall task. As

stated by Nelson (1977, p.165), "the derivation of the

empirical ordering from the theoretical ordering must

occur independently for memory performance and for

depth of processing so that the examination of data

can potentially falsify the principle." A nonsignificant

rank correlation between the ordering of classification

tasks and subsequent memory performance would

constitute evidence contrary to the depth-of-processing

hypothesis. Alternatively, a significant rank correlation

would satisfy a necessary, but not sufficient condition

for the Craik and Lockhart (1972) position.

PART 1

Method

Subjects. The subjects were 17 Wesleyan undergraduates who were enrolled in the senior author's memory seminar during the spring semester of 1977. At the time of the experiment, the subjects had read and discussed sensory memory, attention, and pattern recognition as topics in the course. The students were not yet familiar with the levels- of-processing approach to memory. Materials. The 13 classification tasks listed by Nelson (1977, Table 3) and shown in Table I were used in this study. The 13 questions were printed separately on pieces of paper, shuffled, and placed in an envelope for each subject. The numbers associated with each question in Table I will be used for later data presentations in Part 2 and were not available to the subjects. Table I merely lists the questions with an associated numerical code. Procedure. The first part of this experiment was conducted in a classroom with each of the 17 students seated at a separate desk. On a blackboard in front of the room, the word FROG was printed in uppercase letters. Each subject was given an envelope containing the 13 classification questions and asked to order the questions in terms of their relative processing depths from low to high on the surface of the desk. Depth of processing was defined as the amount of processing or degree of difficulty associated with each question. No mention of ease of learning was made to the subjects at any time. The emphasis was placed on the difficulty of different kinds of processing per se. Subjects were told that there was no "correct" sequence; they could

283

284 SEAMON AND VIROSTEK

Table I Nelson's (1917) Exemplary Oassification Tasks

PART 2

Figure 1. The median rank for each classification question used in Part l. The numbers along the abscissa correspond to the associated questions listed in Table I. Relative depth of processing increases with an increase in the value along the ordinate.

Method Subjects. The subjects were 24 Wesleyan undergraduates who served as paid volunteers. None of the subjects in this portion of the experiment took part in the previous portion or in any other incidental learning experiment. Stimulus materials. The stimuli consisted of 44 English nouns and four verbs derived from nouns obtained from the Paivio, Yuille, and Madigan (1968) word norms. Half of the words were rated high in imagery, concreteness, and meaning- fulness (mean ratings of 6.14, 6.54, and 7.06, respectively) and half were rated significantly lower on these dimensions (mean ratings of 2.60, 2.27, and 4.65, respectively). Words that differed in terms of part of speech (noun-verb) and imagery (high-low) were necessary to have positive and negative instances for all of the classification questions. Initial letters of the words were evenly distributed over the whole range of the alphabet. Procedure. Subjects made decisions about individual words on the basis of the classification questions used in Part 1. The SUbjects were told that the experiment measured the speed of decision making and that all questions should be answered as quickly and as accurately as possible to insure accurate response times. A surprise free recall test was given after all of the words were classified. With the exception of Question 9, all of the classification questions used before were repeated. Question 9 was not used because a failure to solve an anagram would result in no word to recall on the memory test. Each of the 12 classification questions was used four times with a different word each time for a-total of 48 trials. The words and classification questions were arranged such that for each question, a positive response was appropriate two times (e.g., Is it an animal?-whale) and a negative response was correct on the other two trials (e.g., Is it an animal?-thought). The 48 trials were divided into four blocks of 12 trials; each block was composed of one trial of each classification question. The associated positive or negative responses for each question were randomly ordered over the four blocks in each case. The subjects saw one of two different lists of 48 question-word pairs. Each subject received a counterbalanced order of blocks and a random order of questions within each block in each list.

Classification Questions

1 Is it printed in capital letters? 2 Does it contain the letter R? 3 Does it contain an r sound? 4 Does it rhyme with LOG? 5 Does it contain only one syllable? 6 Can you imagine it? 7 Is it a noun? 8 Is it green? 9 Can the lettersG,O,R,F be rearranged to form a word? lOIs it an animal? 11 Is it an associate of JUMP? 12 Can you use it in a sentence "A fell down?" 13 Is it good?

Note- The above questions would be answered affirmatively for the stimulus FROG.

arrange the stimuli in any order and in as many piles (from 1 to

  1. as they deemed necessary. No subject took more than 10 min to finish the task. Upon completion, the individual question slips were transferred to a larger sheet of paper to preserve their spatial arrangement for later data analysis.

Results

Of the 17 subjects who took part in this portion

of the experiment, 8 ordered the classification questions individually into 13 piles. The other nine subjects viewed one or more of the questions as requiring the same amount of processing depth; these subjects

averaged 9.33 piles with a range of 5-12.

The order of classification questions for each subject

was ranked from 1 to 13 in terms of processing depth.

In those instances where a subject had more than one question in a pile, the tied observations were assigned the average of the ranks they would have received had no ties occurred. The median ranks for each question were obtained over subjects and are shown in Figure 1. The medians are arranged in order of increasing magnitude from left to right. The numbers along the abscissa correspond to the question numbers in Table 1. Figure 1 clearly shows that the subjects thought the classification questions differed in processing depth and that there was strong agreement on the ordering of questions. This observation is supported by the fmding of a significant coefficient of concordance. Kendall's W, which measures the degree of agreement

among subject rankings, yielded a value of .60 when

corrected for ties [X^2 (12) = 121.92, p<.OOl]. This

suggests that the subjects applied similar standards in

ranking the 13 classification tasks (Siegel, 1956, p. 237).

In summary, the results of Part 1 indicate that the subjects had a common understanding of processing depth as it relates to the present stimulus (FROG) and classification questions. If relative processing depth is operationally defined by the median rank order of classification questions, the correlation between that

order and the probability of free recall may be obtained.

z

o w ~

13 12

II

10 9 8 7 6 5 4 3 2

I. 2 3 4 5 6 7 8 9 10 II 12 13

CLASSIFICATION QUESTIONS

GENERAL DISCUSSION

Coding Condition 2 3 4

286 SEAMON AND VIROSTEK

Table 2 Median Ranksfor Each Question as a Function of Stimulus Word and Correct Response

Stimulus Word and Response

FROG FATE Classificatio n Question Yes No Yes No

1 Capitals 1.75 3.50 2.00 5. 2 Spelling 4.50 3.75^ 1.75 4. 3 Sound 5.50 3.75 4.00 4. 4 Rhyme 5.00 4.50 4.00 4. 5 Syllables 6.00 4.75 4.00 4. 6 Category 4.25 5.50 9.50 4. 7 Color 6.25 4.25 9.75 7. 8 Speech 7.00 8.00 6.00 7. 9 Associate 9.00 11.00 7.50 8. 10 Sentence 9.25 10.75 7.00 8. 11 Image 7.75 9.25 10.50 11. 12 Affect 12.00 10.50 12.00 11.

Note-Ranks are based on a scale of ]-12. Response type was not varied within words for the imagery question; both responses were "yes" for FROG and "no" for FATE.

present experiment uses the term in the sense of the am~unt of attention (Craik & Lockhart, 1972) devoted to a given stimulus when only a single decision is being made.

Results

Median ranks were obtained as before for each

question in each experimental condition and the results,

which are shown in Table 2, were very similar to those

obtained in Part I, except that the imagery question

was rated much higher in Part 3. In the main, stimulus

word and response type had little effect upon the

observed orders of classification questions. Consistent

with this were the fmdings of (I) a significant coefficient

of concordance (Kendall's W = .57, x: =24.94, P < .01)

over the four classification orders, which indicates that

similar standards were used in each condition; and

(2) a failure to flnd significant effects of response type

for either stimulus word (both ps> .05) or effects

of stimulus word for either response (both ps > .05)

in pairwise comparisons based on the Wilcoxon

Match-Pairs Signed-Ranks test. One notable exception

within each order concerned the effect of stimulus word

on the imagery question. Based on the results of the

Mann·Whitney U test, subjects who received FATE

as a stimulus rated the imagery question significantly

higher for both positive and negative response decisions

than those who received FROG (both ps < .001).

Differences of this type, however, are not unexpected,

as subjects should experience more difficulty in trying

to imagine an abstract stimulus than a concrete item.

To determine the relationship between the classifi-

cation orders of Part 3 and the recall performance of

Part 2, the four orders were collapsed into a single order

based on the median of the medians for each question.

Since different stimulus words and responses were used

in Part 2, an order based on these differences was

obtained in Part 3. The order that is nominally shown

in the leftmost column of Table 2 is more highly corre-

lated with probability of recall than that obtained from

Part 1 [Kendall's T(tau) = .70, Z =3.16, P < .0008J.

This improvement would seem to be largely due to the

present subjects' ranking the imagery question, which

produced high recall, higher in the classification order

than subjects had done previously. The reason for this

difference may be partially due to the inclusion of an

abstract stimulus in Part 3.

A reexamination of Figure 1 and, to a lesser extent,

Table 2 suggests that subjects in Parts I and 3 may

have viewed the 12 classification questions listed in

Table 2 as consisting of only four different general

categories: orthographic classifications (Questions 1

and 2), acoustic-phonological classifications (Questions

3, 4, and 5), classifications based on various types of

category dimensions (Questions 6, 7, and 8), and object

or meaning referent classifications (Questions 9, 10,

11, and 12). Table 3 shows mean recall over subjects.

as a function of this general scheme for each of the four

blocks of serial positions. In each category, probability

of recall changed little over Trial Blocks 1·3, but showed

a sharp upturn on Block 4. Most importantly, the

ordering of recall among the four general categories

remained constant over each block of serial positions.

This simple four-category classification, however,

has serious shortcomings. Such a scheme would predict

that questions that did not differ greatly in median rank

should yield comparable results for recall. This is not

always the case. Large differences were found in

probability of recall in Part 2, for example, for the part-

of-speech and color questions, yet little differences

were observed in their median ranks in either Part 1

or Part 3.

The present experiment showed that subjects can

order a series of classification questions in terms of their

relative processing depth on comparable bases. This

subject-defmed order-of-processing depth was then used

as a basis for predicting relative free recall performance

in an incidentalleaming experiment that employed the

same classification questions with different subjects.

Significant rank correlations were obtained, indicating

that probability of recall increased as subject-defmed

Table 3 Probability of Recall for Each Trial Block and Coding Condition

Trial Block

Orthographic 0 8 6 16. Acoustic/Phonological 9.3 12.3 14 30. Categorical 29 16.7 27.7 41. Semantic Meaning 39.4 36.5 42.8 62.

Note-Data are expressed as percentages. See text for questions associated with particular codes.

depth of processing increased. These data appear to

satisfy Nelson's (I977) requirement for an independent

assessment of memory performance and processing

depth. The possibility of the data falsifying the principle

was obviously present in this task.

The present data are clearly in accord with the

depth-of-processing hypothesis (Craik & Lockhart,

1972). They do, however, provide only weak support

for the theory as they satisfy a necessary, but not

sufficient condition for its acceptance. Several problems

are apparent. First, what is meant by depth of

processing? Depth was operationally defined in this

experiment in terms of the subject-generated ordering

of classification questions. While there was strong

agreement among the subjects, the basis for the

agreement is not clear. Second, causality may not

be inferred from correlational data. Variations in

depth of processing may produce changes in memory

performance either directly or indirectly through an

unobserved factor. One possibility is that memory

performance increases directly with the degree of

semantic analysis given to a stimulus (Craik & Lockhart,

1972); this implies a direct relationship between

processing depth and performance. Alternatively,

depth of processing may be inversely related to the

degree of automaticity of the pattern-recognition

operations during stimulus encoding. Automaticity has

been shown to be inversely related to memory

performance (Kolers, 1975). Other than noting that

encoding processes have important consequences for

memory performance, no specific conclusions may yet

be drawn.

Finally, assuming a relationship between depth of

processing and memory performance as has been

demonstrated in this experiment, what is the nature

of the relationship between the predictor and criterion

variables? Obviously, until the factor or factors

responsible for the effect on memory performance have

been isolated, no such relational scheme can be made

apparent. The simple four-category coding order

DEPTH OF PROCESSING 287

examined in this experiment failed in several specific

instances. Several questions thus become readily

apparent. Should the order be expanded to include

more than four discrete categories or redefined as

a continuous variable? Might a multidimensional

structure provide a better account of the data than a

unidimensional scale? While no specific scheme has

yet been found, the finding of a strong correlation

in the present data suggests that the search should be

continued.

REFERENCES

CRAIK. F. I. M.. & LOCKHART. R. S. Levels of processing: A framework for memory research. Journal of Verbal Learning and Verbal Behavior. 1972. 11. 671-684. ELIAS. C S.. & PERFETTI. C A. Encoding task and recogni- tion memory: The importance of semantic encoding. Journal ofExperimental Psychology, 1973, 99. 151-156. HYDE. T. S.. & JENKINS. J. J. Differential effects of incidental tasks on the organization of recall of a list of highly associ- ated words. Journal or Experimental Psychology, 1969, 82.472-481. KOlERS. P. A. Memorial consequences of automatized encoding. Journal or Experimental Psychology: Human Learning and Memory. 1975. 1. 689·701. NElSON. T. O. Repetition and depth of processing. Journal of Verbal Learning and Verbal Behavior, 1977. 16, 151-171. PAIVIO. A .. YUILLE. 1. C. & MADIGAN, S. Concreteness. imagery. and meaningfulness values for 925 nouns. Journal 01 Experimental Psychology Monograph Supplement,

    1. Part 2). SEAMON. 1. G .. & MURRAY. P. Depth of processing in recall and recognition memory: Differential effects of stimulus meaningfulness and serial position. Journal of Experimental Psychology. Human Learning and Memory. 1976, 2,680-687. SIEGEl. S. Non parametric statistics for the behavioral sciences. New York: McGraw-Hili. 1956. WALSH. D. A.. & JENKINS. 1. 1. Effects of orienting tasks on free recall in incidental learning: "Difficulty," "effort,"

and "process" explanations. Journal ot Verbal Learning

and Verbal Behavior. 1973. 12.481-488.

(Received for publication October 25, 1977; accepted January 11. 1978.)