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Modelling clustered data in autobiographical memory research: the multilevel approach
Author(s) -
Wright Daniel B.
Publication year - 1998
Publication title -
applied cognitive psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.719
H-Index - 100
eISSN - 1099-0720
pISSN - 0888-4080
DOI - 10.1002/(sici)1099-0720(199808)12:4<339::aid-acp571>3.0.co;2-d
Subject(s) - autobiographical memory , psychology , multilevel model , cognition , cognitive psychology , cognitive science , computer science , recall , machine learning , neuroscience
Much memory research involves recording several autobiographical memories for each of several people. These memories are not independent of each other, an assumption of the statistical procedures used in many cognitive psychology papers. In recent years there have been both statistical and computational advances for modelling these hierarchical data structures. This is often called multilevel modelling . Using data from recent memory research (Burt et al ., 1995), I describe this approach and show how it compares favourably with traditional approaches. © 1998 John Wiley & Sons, Ltd.