COMPARISON OF BIOMETRICAL GENETICAL, MAVA, AND CLASSICAL APPROACHES TO ANALYSIS OF HUMAN BEHAVIOR
COMPARISON OF BIOMETRICAL GENETICAL, MAVA, AND CLASSICAL APPROACHES TO ANALYSIS OF HUMAN BEHAVIOR
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DOI：
10.1037/h0029135
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发表时间：
1970-01-01
影响因子：
22.4
通讯作者：
FULKER, DW
中科院分区：
文献类型：
--
作者：
JINKS, JL;FULKER, DW
描述了生物统计遗传学方法在人类行为分析中的应用技术，并将其与多元抽象方差分析和其他方法进行了比较。这些技术被应用到一些人格和认知措施，使用已公布的数据。所使用的分析的基本假设进行了讨论，并证明了从他们离开的意义测试。虽然数据往往不足，但这些技术提供了关于控制措施的基因作用及其演变的新信息。它的结论是，重新分析的结果表明生物统计方法的独特价值。(44参考文献）（PsycInfo数据库记录（c）2016阿帕，保留所有权利）
Describes the techniques which can be used in the analysis of human behavior by the methods of biometrical genetics and compares them with those of the Multiple Abstract Variance Analysis, and other approaches. These techniques are applied to a number of personality and cognitive measures using published data. Underlying assumptions of the analyses used are discussed and tests of significance for departure from them are demonstrated. Although data were often inadequate, the techniques provided new information on the gene action controlling the measures and on their evolution. It is concluded that the outcome of the reanalyses indicates the unique value of the biometrical approach.(44 ref.)(PsycINFO Database Record (c) 2016 APA, all rights reserved)