.png){kind=icon}
返回
The EffectLiteR Approach for Analyzing Average and Conditional Effects
.png){kind=icon}
OA
AI
DOI：10.1080/00273171.2016.1151334.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We present a framework for estimating average and conditional effects of a discrete treatment variable on a continuous outcome variable, conditioning on categorical and continuous covariates. Using the new approach, termed the EffectLiteR approach, researchers can consider conditional treatment effects given values of all covariates in the analysis and various aggregates of these conditional treatment effects such as average effects, effects on the treated, or aggregated conditional effects given values of a subset of covariates. Building on structural equation modeling, key advantages of the new approach are (1) It allows for latent covariates and outcome variables; (2) it permits (higher order) interactions between the treatment variable and categorical and (latent) continuous covariates; and (3) covariates can be treated as stochastic or fixed. The approach is illustrated by an example, and open source software EffectLiteR is provided, which makes a detailed analysis of effects conveniently accessible for applied researchers.
Keyword:
Average and conditional effects
multigroup structural equation modeling
moderation
stochastic regressors
interactions
期刊
M
IF:
3.5
论文数:
1.8K
被引数:
9.4K
机构
引用论文
.png){kind=icon}
Cytochemistry of gastric parietal cells with high-pressure freezing followed by freeze-substitution
PREAI
分享收藏Substrate stiffness affects early differentiation events in embryonic stem cells基底硬度影响胚胎干细胞的早期分化事件OAAI
OAAI分享收藏
Nutritional Practices of Elite Female Surfers during Training and Competition优秀女子冲浪者在训练和比赛中的营养实践
PREAI
分享收藏
查看更多内容