CANONICAL CORRELATION ANALYSIS - GENERAL PARAMETRIC SIGNIFICANCE-TESTING SYSTEM
CANONICAL CORRELATION ANALYSIS - GENERAL PARAMETRIC SIGNIFICANCE-TESTING SYSTEM
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DOI：
10.1037/0033-2909.85.2.410
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发表时间：
1978-01-01
影响因子：
22.4
通讯作者：
KNAPP, TR
中科院分区：
文献类型：
--
作者：
KNAPP, TR
建议 9 种最常见的统计程序（简单相关、独立样本 t 检验、多元回归分析、单向方差分析、阶乘方差分析、协方差分析、相关样本 t 检验、判别分析和独立性卡方检验）的显着性检验都可以被视为 2 组变量的典型相关分析中零假设检验的特殊情况。(15 参考)(PsycINFO 数据库记录 (c) 2016 APA，保留所有权利）
Suggests that significance tests for 9 of the most common statistical procedures (simple correlation, t test for independent samples, multiple regression analysis, 1-way ANOVA, factorial ANOVA, analysis of covariance, t test for correlated samples, discriminant analysis, and chi-square test of independence) can all be treated as special cases of the test of the null hypothesis in canonical correlation analysis for 2 sets of variables.(15 ref)(PsycINFO Database Record (c) 2016 APA, all rights reserved)