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Seeking patterns in dream content: a systematic approach to word searches.

Kelly Bulkeley

Consciousness and Cognition September 10, 2009 DOI: 10.1016/j.concog.2009.08.005 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Methodological paper Peer reviewed
Sample size 1,117
Population Dream reports from college students and an 80-year-old male
Topics Dreaming
Keywords Humans Consciousness Dreams Mental recall Sex factors Systems theory Reference values Semantics Internet Adolescent Female Young adult Search engine
Key points Word-search categories applied to 981 college-student dream reports and 136 reports from an 80-year-old man produced frequencies basically compatible with those from Hall and Van de Castle's human-coder content analysis. The authors argue this supports expanded use of word-search technologies for studying dream content and its relation to waking consciousness.

Abstract

This paper systematizes the word search potential of DreamBank.net (Domhoff & Schneider, 2008a, 2008b) by formulating and testing a set of word strings that can be used as default analytic categories in future investigations. The word strings are applied to the 981 dream reports of college students gathered by Hall and Van de Castle (1966) and the 136 dream reports of an 80-year old male gathered by Bulkeley (2008a). The results show a basic compatibility with the frequencies identified by Hall and Van de Castle's labor-intensive method of content analysis employing teams of human coders. These findings support the expanded use of word search technologies for the scientific study of dream content and its relation to forms of waking consciousness.

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