Models of verbal working memory capacity: What does it take to make them work?
Male
Adolescent
working memory capacity
AGE-DIFFERENCES
P-VALUES
ORDER INFORMATION
Models, Psychological
Neuropsychological Tests
INDIVIDUAL-DIFFERENCES
working memory
Young Adult
03 medical and health sciences
0302 clinical medicine
History and Philosophy of Science
/dk/atira/pure/subjectarea/asjc/3200
Humans
Attention
Psychology(all)
Analysis of Variance
SHORT-TERM-MEMORY
IMMEDIATE SERIAL-RECALL
EPISODIC BUFFER
Association Learning
Bayes Theorem
Recognition, Psychology
capacity models
list item recognition
Memory, Short-Term
T TESTS
PHONOLOGICAL SIMILARITY
Data Interpretation, Statistical
RECOGNITION MEMORY
Female
Cues
mathematical models
/dk/atira/pure/subjectarea/asjc/1200/1207
Photic Stimulation
DOI:
10.1037/a0027791
Publication Date:
2012-04-09T16:25:35Z
AUTHORS (4)
ABSTRACT
Theories of working memory (WM) capacity limits will be more useful when we know what aspects of performance are governed by the limits and what aspects are governed by other memory mechanisms. Whereas considerable progress has been made on models of WM capacity limits for visual arrays of separate objects, less progress has been made in understanding verbal materials, especially when words are mentally combined to form multiword units or chunks. Toward a more comprehensive theory of capacity limits, we examined models of forced-choice recognition of words within printed lists, using materials designed to produce multiword chunks in memory (e.g., leather brief case). Several simple models were tested against data from a variety of list lengths and potential chunk sizes, with test conditions that only imperfectly elicited the interword associations. According to the most successful model, participants retained about 3 chunks on average in a capacity-limited region of WM, with some chunks being only subsets of the presented associative information (e.g., leather brief case retained with leather as one chunk and brief case as another). The addition to the model of an activated long-term memory component unlimited in capacity was needed. A fixed-capacity limit appears critical to account for immediate verbal recognition and other forms of WM. We advance a model-based approach that allows capacity to be assessed despite other important processing contributions. Starting with a psychological-process model of WM capacity developed to understand visual arrays, we arrive at a more unified and complete model.
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