1969
DOI: 10.1002/bs.3830140210
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Computers in behavioral science: Estimation of genetic parameters by computer

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1970
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Cited by 3 publications
(3 citation statements)
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“…The open-field defecation and activity data were subjected to a biometrical genetic analysis following the classic method (Katzenmeyer et al, 1969). With defecation raw scores, a significant Genotype by Environment interaction was indicated from the scores of the nonsegregating genotypes (Fmax = 3 Al, p< .05).…”
Section: Resul Ts and Discussionmentioning
confidence: 99%
“…The open-field defecation and activity data were subjected to a biometrical genetic analysis following the classic method (Katzenmeyer et al, 1969). With defecation raw scores, a significant Genotype by Environment interaction was indicated from the scores of the nonsegregating genotypes (Fmax = 3 Al, p< .05).…”
Section: Resul Ts and Discussionmentioning
confidence: 99%
“…The best fitting model is chosen by a combination of criteria. In most published applications, models have been fit with a least-squares error criterion (Chandler 1969;Reed 1976), with the quality of the fit assessed by goodness-of-fit statistics, such as adjusted-R 2 (Judd and McClelland 1989). Model fits are performed for the averaged data for expository purposes, but it is essential to model each participant's data separately (and by items), allowing evaluation of the consistency of parameter estimates across participants (and items), and inferential tests of significance.…”
Section: The Sat Methodologymentioning
confidence: 99%
“…(1961), Bruell (1962), and Newell (1967) uses two inbred strains (Pi and P 2 ), their FI, F 2 , and backcrosses. The analysis of the classic method employed here is derived from Cavalli's (1952) joint test for epistasis, and is explained more fully by Katzenmeyer, Whitney, and Newell (1969). Briefly, genetic parameters estimate genetic influences due to additive genetic effects, d, dominant genetic effects, h, and epistatic effects, i, j, and 1.…”
mentioning
confidence: 99%