creators_name: Snyder, Douglas M. type: journalp datestamp: 1999-08-01 lastmod: 2011-03-11 08:54:18 metadata_visibility: show title: On the Theoretical Derivation of the Normal Distribution for Psychological Phenomena ispublished: pub subjects: cog-psy full_text_status: public keywords: intelligence, Galton, normal curve, statistical mechanics, statistics, order, randomness, human systems, representativeensemble, fundamental assumption, drunkard's walk, thermal physics abstract: Though research has indicated that distributions of certain psychological phenomena such as intelligence (as it is assessed on various intelligence tests) are approximately normal as a rule, insufficient attention has been paid to the importance of theoretically deriving the normal distribution for psychological phenomena from first principles. If one accomplishes this task in a manner similar to that found in statistical mechanics and thermal physics (and I am not aware of another plausible theoretical derivation), the premise is made that randomness lies at the foundation of the psychological phenomena so described. These phenomena are in their very nature indisputably characterized by some degree of order. date: 1986 date_type: published publication: Psychological Reports volume: 59 pagerange: 399-404 refereed: TRUE citation: Snyder, Douglas M. (1986) On the Theoretical Derivation of the Normal Distribution for Psychological Phenomena. [Journal (Paginated)] document_url: http://cogprints.org/817/3/Theoret.pdf