Multiple Regression in Behavioral Research: Explanation and Prediction
Multiple Regression in Behavioral Research: Explanation and Prediction
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发表时间：
1982-07
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通讯作者：
E. Pedhazur
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作者：
E. Pedhazur
第一部分：多元回归分析的基础。概述。简单线性回归和相关性。回归诊断。计算机和计算机程序。多元回归分析的要素：两个自变量。多元回归分析的一般方法：矩阵运算。统计控制：偏相关和半偏相关。预言。第二部分：多元回归分析。方差划分。效果分析。分类自变量：虚拟变量、效应变量和正交编码。多分类自变量和因子设计。曲线回归分析。连续和分类自变量 I：属性处理交互，比较回归方程。连续和分类自变量 II：协方差分析。多层次分析的要素。分类因变量：Logistic 回归。第三部分：结构方程模型。具有观测变量的结构方程模型：路径分析。具有潜变量的结构方程模型。第四部分：多变量分析。方差的回归、判别和多元分析：两组。方差的规范分析、判别分析和多元分析：扩展。附录。
Part I: Foundations of Multiple Regression Analysis. Overview. Simple Linear Regression and Correlation. Regression Diagnostics. Computers and Computer Programs. Elements of Multiple Regression Analysis: Two Independent Variables. General Method of Multiple Regression Analysis: Matrix Operations. Statistical Control: Partial and Semi-Partial Correlation. Prediction. Part II: Multiple Regression Analysis. Variance Partitioning. Analysis of Effects. A Categorical Independent Variable: Dummy, Effect, And Orthogonal Coding. Multiple Categorical Independent Variables and Factorial Designs. Curvilinear Regression Analysis. Continuous and Categorical Independent Variables I: Attribute-Treatment Interaction, Comparing Regression Equations. Continuous and Categorical Independent Variables II: Analysis of Covariance. Elements of Multilevel Analysis. Categorical Dependent Variable: Logistic Regression. Part III: Structural Equation Models. Structural Equation Models with Observed Variables: Path Analysis. Structural Equation Models with Latent Variables. Part IV: Multivariate Analysis. Regression, Discriminant, And Multivariate Analysis of Variance: Two Groups. Canonical, Discriminant, And Multivariate Analysis of Variance: Extensions. Appendices.