Ronald K. Hoeflin (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Ronald K. Hoeflin" in English language version.

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  • Perleth, Christoph; Schatz, Tanja; Mönks, Franz J. (2000). "Early Identification of High Ability". In Heller, Kurt A.; Mönks, Franz J.; Sternberg, Robert J.; et al. (eds.). International Handbook of Giftedness and Talent (2nd ed.). Amsterdam: Pergamon. p. 301. ISBN 978-0-08-043796-5. norm tables that provide you with such extreme values are constructed on the basis of random extrapolation and smoothing but not on the basis of empirical data of representative samples.

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  • Hoeflin, Ronald (July 1987). "About the Editor" (PDF). Noesis, the Journal of the Noetic Society. 16: 11. I have been a member of all six high-IQ societies listed in the Encyclopedia of Associations: Mensa, Intertel, the International Society for Philosophical Enquiry, the Triple Nine Society, the Prometheus Society, and the Mega Society — but I currently belong to only three of these: Mensa, Triple Nine, and Prometheus. I am the founder of Prometheus and of the Noetic Society (formerly called the Titan Society). I consider myself the founder of the Mega Society, although some argue that Chris Harding has at least equal claim to that status. I am also a co-founder of the Triple Nine Society. Thus, I have been at least partly responsible for the establishment of four of the seven currently active high-IQ societies.

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  • Aviv, Rachel (2006-08-02). "The Intelligencer". Village Voice. Archived from the original on 2007-02-11. Retrieved 2006-08-02. This article is primarily a biography of and interview with Dr Hoeflin

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  • Carlson, Roger D. (1991). "The Mega Test". In Keyser, Daniel; Sweetland, Richard (eds.). Test Critiques. Vol. VIII. Kansas City (MO): Test Corporation of America. pp. 431–435. ISBN 0-89079-254-2. ISSN 1553-9121. Although the approach that Hoeflin takes is interesting, inventive, intellectually stimulating, and internally consistent, it violates many good psychometric principles by overinterpreting the weak data of a self-selected sample.