A primer on interaction effects in multiple linear regression

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This primer is divided into 6 sections:
1. Two-way interaction effects in MLR
2. Regions of significance
3. Plotting and probing higher order interactions
4. Centering variables
5. Cautions regarding interactions in standardized regression
6. References


Two-Way Interaction Effects in MLR

An interaction occurs when the magnitude of the effect of one independent variable (X) on a dependent variable (Y) varies as a function of a second independent variable (Z). This is also known as a moderation effect, although some have more strict criteria for moderation effects than for interactions. Interactions occur potentially in situations involving univariate analysis of variance and covariance (ANOVA and ANCOVA), multivariate analysis of variance and covariance (MANOVA and MANCOVA), multiple linear regression (MLR), logistic regression, path analysis, and covariance structure modeling. This primer is concerned with interactions as they occur in MLR. ANOVA and ANCOVA models are special cases of MLR in which one or more predictors are nominal or ordinal "factors." It is straightforward to estimate such models in the MLR framework, but the accompanying web pages were designed for use with interactions among two or three continuous and/or dichotomous predictor variables only.

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关键词：interaction regression regressio Multiple interact regarding multiple higher

线性回归检验调解效应详细步骤解读。。。

调解变量解读，挺详细的。

组织研究方法对调节效应解读。。

宁静的城np 发表于 2016-10-2 20:34
This primer is divided into 6 sections:
1. Two-way interaction effects in MLR
2. Regions of sign ...

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购买了，谢谢楼主分享！

不错

宁静的城np 发表于 2016-10-2 20:34
This primer is divided into 6 sections:
1. Two-way interaction effects in MLR
2. Regions of sign ...

谢谢你

宁静的城np 发表于 2016-10-2 20:34
This primer is divided into 6 sections:
1. Two-way interaction effects in MLR
2. Regions of sign ...

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